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For owners who pay for traffic but feel their landing page could convert better. We set up a page that keeps trying different headlines, layouts and buttons on its own and sends more visitors to the versions that win.
For businesses whose visitors come for different reasons. The site shows each visitor the most fitting headline, image and offer based on where they came from and what they looked at, without anyone changing pages by hand.
For businesses that treat every website visitor the same. The AI reads how someone browses and tells whether they are just looking, comparing, ready to buy or need help, then shows them the right button or offer.
For businesses losing visitors without knowing why. The AI watches anonymous, consented visit recordings with form fields hidden and flags unusual patterns such as rage clicks, dead buttons or sudden drop-offs, so you fix problems quickly.
For businesses whose quote, booking or sign-up forms get started but not finished. The system notices where people hesitate and offers help on the spot, lets them save and come back, and emails only those who agreed.
For businesses whose sales team wastes time on weak enquiries. The AI scores every new web lead on how well it fits and how interested it seems, sends hot leads to sales right away, and puts the rest into a nurture email flow.
For businesses that want to know which combination of headline, image, price display and button works best. Instead of slow one-at-a-time tests, the system tests several elements together and finds the best combination.
For businesses with lots of articles, guides, products or videos. The AI understands what each page is about and suggests the most relevant next thing to each visitor, keeping them on your site longer.
For businesses with long quote, booking or application forms that people give up on. The AI asks the questions like a friendly chat, understands normal replies, checks answers as it goes and sends a clean, complete enquiry to you.
For businesses running A/B tests that drag on for weeks. The system watches your tests as data comes in and tells you early which version is likely to win, or whether a test is not worth continuing.
For sites where visitors get stuck, click back and forth or hit repeated errors. The system notices signs of confusion and steps in with a clearer explanation, a simpler step or an offer of help.
For businesses worried about fake sites copying their pages to trick customers. The system regularly searches the web for pages that look or read like yours and alerts you so you can act.
For businesses that want to know which steps actually lead people to buy. The system maps every route visitors take across ads, pages and emails, shows which paths end in sales, and explains it in plain words.
For businesses that use analytics, ads and chat tools on their site and need visitor consent handled properly. The system asks visitors once, remembers their choice, and only loads each tool when allowed, following the rules you set.
For businesses sending messages on the site, by email and in ads without coordination. One system decides when to send what, based on what each visitor did, and makes sure nobody gets too many messages.
For businesses that only find out their site is down or broken when a customer complains. The system tests your key pages and checkout like a real visitor around the clock, spots visual breakage, and tells you which change caused it.
For sites where one call-to-action button does not fit everyone. The system reads what each visitor seems to want and switches the main button, such as Buy now, Book a demo or See pricing, to the most fitting one.
For apps and online products where new sign-ups drop off before they get value. The AI guides each new user through setup with the right steps for them, nudges when they stall, and learns which path gets people to their first success.
We check every page of your website against your current prices, opening hours, contact details and team, and list everything out of date: old prices, past events, wrong hours, discontinued products. Each problem comes with a ready correction we apply after you approve, and the check repeats every week.
For businesses whose site sometimes breaks when a script fails or a connection drops. Instead of showing a broken page, the site falls back to a working version and reports the problem, so customers can keep going.
For businesses that want more visitors from Google but do not know which searches to target. The AI studies what people search for, how hard each search is to rank for, and how likely it is to bring buyers, then ranks the best opportunities.
For businesses that rely on Google traffic and get caught out by sudden ranking drops. The system watches your keywords and the wider search results, forecasts turbulent periods and explains whether a change hit you or everyone.
For businesses whose pages do not clearly tell search engines what they are about. The AI finds the topics, places, products and people your content should mention and connect, and helps restructure pages so search engines understand your expertise.
For businesses whose pages rank but do not match what searchers are looking for. The AI works out whether each search is for information, comparison or buying, and checks that your page gives that type of answer.
For businesses whose competitors have links from good websites that they do not. The system maps where competitors get links, picks sites that are realistic for you, and drafts friendly outreach for you to send.
For businesses planning budgets and content who want to know what traffic to expect. The system forecasts visits from Google for your main pages and topics, including seasonal peaks, and shows the likely effect of planned content.
For businesses who want to appear when people ask AI assistants and AI search for recommendations. We restructure your content and business information so AI answer engines can understand, trust and quote you.
For businesses that depend on Google traffic and want to know when a search update hits. The system watches ranking data for signs of a Google update, compares it with your own movements, and tells you whether to act.
For businesses whose name, address, details and descriptions differ across Google, directories and social profiles. The system finds the conflicts, corrects the details we can edit, and gives search engines one clear picture of your business.
For businesses that publish content without a clear plan. The AI groups your topics into main guides and supporting pages, shows how they should link together, and gives you a ready plan of what to write.
For businesses whose searches now get answered right on Google so nobody clicks. The system finds where you lose clicks to instant answers and shifts your content toward searches and formats that still bring visitors.
For businesses hit by spammy or low-quality sites linking to them. The AI reviews your backlinks, flags the harmful ones, and prepares the disavow file you can submit, plus a routine to keep it current.
For businesses whose content answers the main question but misses the follow-ups. The AI works out the related questions search engines look for and checks your pages cover them, then fills the gaps.
For businesses ranking on Google but getting fewer clicks than they should. The system tests different page titles and descriptions, measures which earn more clicks, and keeps the best ones.
For businesses wondering whether AI assistants and Google's AI summaries mention them or their competitors. The system checks your important questions regularly through official channels and shows when you are cited, when you are not, and who is.
For businesses that answer the same customer questions again and again. The AI collects the questions people actually ask in searches, reviews and support emails, writes accurate answers, and publishes them as tidy help pages with correct markup.
For businesses whose helpful articles bring visitors but get no credit for sales. The system follows how people come back through several searches before buying, and shows which pages and searches really contribute.
For businesses whose phone line is busy with the same simple requests. An AI voice answers, understands what callers want, handles routine requests like opening hours, order status or booking, and passes everything else to your team.
For businesses whose team answers lots of support emails or chats. The AI drafts replies from your help content, your team edits or approves them, and every edit teaches the AI to write better replies next time.
For businesses whose customers want to book, order or request refunds without waiting. The AI assistant does the task directly in your systems, always confirming with the customer first and staying within your rules.
For businesses whose salespeople get stuck on objections like price or timing. During a call where everyone has been told it is transcribed, the AI notices the objection and shows the rep a short, approved answer on screen.
For businesses whose customers message through the website, email, social and messaging apps. One AI assistant answers on all channels and remembers each customer's history, so nobody has to repeat themselves.
For subscription businesses losing customers who quietly lose interest. The AI spots accounts showing signs of leaving and opens a friendly, personal conversation offering help or a suitable offer before they cancel.
For businesses whose inbox mixes urgent complaints, sales questions and routine requests. The AI reads each incoming message, judges what it is about and how urgent it is, and sends it to the right person or bot with a priority.
For software and online services whose new customers struggle to set things up. An AI guide walks each new user through setup step by step, remembers progress, and can complete some setup actions for them.
For businesses whose chat or support sometimes faces frustrated customers. The AI notices when a customer is getting upset, softens its tone, offers a fitting fix from their account, and brings in a person before things escalate.
For businesses getting enquiries that sales has to qualify by hand. An AI assistant chats with each inbound lead, asks your qualifying questions, adds company-level details, and writes a scored record into your CRM.
For estate agents with more enquiries than time. An AI assistant asks buyers and renters what they want, matches them to your current listings, and books viewings for the best matches.
For online shops and platforms whose team reviews suspicious orders or account activity. Your staff ask questions in plain words, and the AI pulls together order histories and unusual patterns into a clear case summary for your team to decide.
For businesses doing repetitive tasks across several systems. You ask in plain words and the AI plans the steps, shows you the plan, then carries it out across your connected tools, undoing changes if something fails.
For businesses whose salespeople keep asking about competitors, pricing and positioning. The AI answers their questions using only your approved sales material and stays current as it changes.
For businesses that must be careful about what their marketing says. The AI writes copy but blocks any claim not on your approved list, and adds your own disclaimers where your rules say.
For businesses whose copy sounds different every time someone new writes it. The AI learns your brand's tone and words from your best content and writes new copy that sounds like you, rejecting drafts that drift.
For businesses that want to join timely conversations but always react too late. The system watches trending topics relevant to you and drafts on-brand posts and articles quickly, for you to approve.
For businesses whose articles and pages lack proof of experience and expertise. The AI reviews your content for missing sources, author details and real-world evidence, then rewrites weak sections using only facts you provide.
For businesses with lots of internal knowledge but no time to write. The AI writes long articles and guides using only your own documents, citing where each fact came from so you can check it.
For businesses whose writing is too complex for their customers. The AI rewrites any text to the reading level, tone and channel you need, keeping the meaning and using inclusive language.
For businesses whose marketing makes claims that need backing up. The system scans copy for claims, matches each one to your evidence library, and flags any without proof for your reviewer before publishing.
For businesses sending regular emails who want them to work better. The system tests subject lines, copy and send times for each audience group, learns what works, and applies it automatically.
For businesses whose visitors come from different ads and searches but see the same words. The system picks copy blocks for each visitor group and source, learns which combinations work, and keeps improving.
For businesses whose competitors rank for topics they have never written about. The system compares your content with competitors, finds valuable missing topics, and drafts briefs or full articles to fill them.
For businesses where many people write emails, posts and pages, and the brand style drifts. The system checks every draft against your style guide and preferred terms and suggests fixes before anything is published.
For businesses that want fast marketing copy but need someone to check claims and offers first. The AI writes the copy, flags claims, comparisons and offers against your house rules, and sends only the flagged items to your reviewer.
For businesses with newsletters most subscribers skim. The AI builds a personal edition for each reader, choosing and lightly rewriting content blocks to match their interests, while keeping enough variety so readers discover new things.
For software and online businesses where people get stuck on sign-up forms, checkout steps or error messages. The AI rewrites the small words on your buttons, hints and errors, tests the versions with real visitors, and keeps the wording that helps more people finish.
For businesses that publish blogs, videos, emails and posts but cannot tell which pieces actually lead to sales. We connect your content, website and sales tools, and the AI shows which pieces helped bring each customer in, so you make more of what works.
For B2B businesses whose happy clients would convince new ones, if only someone wrote the story. The AI drafts case studies from your project notes, interviews and results, checks every claim against your records, and sends each draft to the client for approval.
For businesses that send lots of emails, ads and product texts and want each round to beat the last. The AI watches which of your lines get opens, clicks and sales, learns your winning style, and writes new copy shaped by what your own customers respond to.
For businesses that cannot read every comment and mention about them. The AI reads mentions of your brand across social media and review sites, sorts them by mood and urgency, and alerts you fast when something needs a reply or a problem is growing.
For businesses drowning in comments and direct messages. The AI reads each one, answers common questions from your own information, and passes anything unclear or sensitive to the right person on your team.
For businesses where one angry post can snowball. The AI watches mentions of your brand, notices when criticism is growing unusually fast, and sends your team a short brief with what is happening and a suggested first response.
For businesses spending time on social media that want to know which posts made a real difference. The AI separates the effect of each post from normal ups and downs and seasonal patterns, and ranks your posts by the extra visits and sales they brought.
For creators and brands who want honest numbers. The AI checks your followers and engagement for bots and fake activity, so your reports, sponsors and ad decisions rely on real people.
For companies whose staff are willing to share company news but never know what to post. The AI suggests which content each volunteer would naturally want to share, adds an employee disclosure to every share, and shows how far the program reached.
For businesses where every post or ad must be checked before going out. The AI pre-screens drafts against your rules, ranks them by risk with a short reason, and lets reviewers clear low-risk items quickly.
We learn when your business gets busy and quiet from your past sales, add local holidays and events, and build a month-by-month ad budget plan. Budget changes are set up in your ad accounts ahead of each busy season, and the plan is checked against real results every month.
For businesses where some customers make a single purchase and others keep coming back. The AI predicts how valuable each new customer is likely to become and sends that value to Google and Meta, so your ads chase loyal customers, not one-off bargain hunters.
For businesses where the sale happens on the phone, in the showroom or in the CRM, not on the website. We connect your consented offline sales back to your Google and Meta ads, so the ad platforms learn which clicks become paying customers.
For businesses whose ad costs suddenly jump without warning. The AI watches your auction data for new or more aggressive competitors and tells you whether to defend, hold back or take advantage.
For businesses whose display and video ads appear on junk sites and apps. The AI scores where your ads appear for safety, visibility and results, and keeps include and exclude lists updated so your budget goes to good placements.
Every day we open the page behind each of your ads and check it works: it loads, the product is in stock and the price and offer match what the ad says. When something is wrong you get a plain alert, and the ad can be paused until the page is fixed.
For businesses running several ad campaigns that target the same people. The AI finds where your audiences overlap, shows where you bid against yourself, and recommends merges and exclusions to stop it.
For subscription businesses, gyms and firms whose cheapest new customers often leave fastest. The AI groups customers by the campaign that brought them, forecasts how much each group will be worth, and shows how long each campaign takes to pay for itself.
For businesses whose prospecting ads keep reaching people who already buy from them. The AI builds exclusion lists of current customers and people unlikely to buy, keeps them updated, and frees your budget for real new prospects.
For businesses unsure whether raising their ad budget will bring more customers or just higher costs. The AI studies your past budget changes and shows, per campaign, how results really respond to spending more or less.
For businesses whose ads get rejected or who worry about saying something they should not. The AI checks each image and text against ad platform policies and your own claim rules before submission, and points to the exact rule at issue.
For businesses whose ad costs climb as their current audience gets tired. The AI watches for signs your audiences are saturating and suggests the next audiences to try before costs rise.
For businesses sending emails at one time to everyone. The AI learns when each subscriber usually opens and clicks, and schedules every email to arrive when that person is most likely to read it.
For businesses and charities sending many campaigns that wear out their list. The AI predicts each contact's tolerance for email, sets a personal limit, and holds back sends that would push them over it.
For businesses whose emails quietly land in spam folders. The AI checks your sender setup, content and sending history before each campaign, predicts spam risk, and tells you what to fix or slow down.
For businesses and charities whose emails get filtered because of their wording. The AI scores each draft for spam-trigger risk and highlights the exact words, links or images causing it, before you hit send.
For brands and agencies with several people writing emails and posts. The AI learns your brand voice from your best past messages, scores every new draft against it, and flags lines that sound off-brand before they go out.
For businesses whose customers appear several times across email, phone and accounts. The AI matches records that belong to the same person, using only details customers gave you, so you stop double-messaging them.
For businesses unsure whether their emails cause sales or just take credit for them. The AI keeps a small group who do not receive each flow and compares them with everyone else to show the real extra revenue email brings.
For businesses running email or SMS tests that end too early or never reach a clear answer. The AI tells you how many people each test needs, watches it while it runs, and signals when the result is trustworthy.
For brands whose website, app and ads drift from their brand guide over time. The AI checks your live pages and ads for logo, colour, spacing and font mistakes, marks exactly where each issue is and ranks them by importance.
For businesses whose brand colours look nice but make text hard to read. The AI builds a full colour system around your brand colours, with light and dark shades, and checks every text-on-background pair meets readability guidelines.
For software businesses whose product grew without a design system, leaving dozens of slightly different colours and spacings. The AI scans your live product, finds the colours, spacing and components you actually use, and merges them into one clean set of design rules.
For founders naming a new business, product or brand. The AI generates name ideas, checks domain and social handle availability, runs a first look in public trademark databases and ranks names that are easy to say and remember.
For teams publishing lots of designs and copy who keep breaking brand rules. The AI checks every design and text against your brand rules before it goes live and lists exactly what to fix.
For brands that suspect they look just like their competitors. The AI collects competitors' visuals, maps where everyone sits in style, shows the crowded and empty spaces and suggests visual moves to stand out.
For founders and agencies about to launch a new logo. The AI compares your logo against public trademark databases and the web for similar-looking marks, and prepares an evidence pack for your trademark attorney to review. It is a search aid, not a clearance.
For companies changing name, logo or colours who fear old branding lingering everywhere. The AI finds every place your old brand appears across website, documents and assets, plans the switch in phases, replaces what it can and checks each place afterwards.
For start-ups and software businesses that want their app or website to look consistent. We build a library of ready-to-use interface pieces, like buttons, forms, and menus, styled to your brand and tested on phones and desktops.
For brands with franchisees, resellers, or partners who make their own flyers and ads. Partners upload a design and instantly see whether it follows your brand rules, with notes on exactly what to fix.
For owners who wonder whether customers see the brand the way they intend. The AI reads your reviews, social comments, and photos people post, then shows where the image you want and the image you have differ, and which touchpoints cause it.
For businesses that publish catalogues, magazines, brochures, or annual reports. Send the text and photos and the AI lays out every page in your style, ready to print or share online.
For businesses that keep a brand guide as a PDF nobody reads. We turn it into a living website showing your colours, fonts, logos, and examples, and it updates itself when your design changes.
For businesses launching new product lines, locations, or services under one main brand. The AI designs how each sub-brand should look and be named so they feel related yet distinct.
For teams that need a steady stream of branded visuals for ads, posts, and product pages. Your team types what they need and the AI produces images locked to your brand look, ready to use.
For businesses that want each customer to get the right message at the right time without manual sending. We build automatic journeys, like welcome, abandoned cart, and win-back, that branch based on what each customer does.
For businesses with a customer list who want to know who is ready to buy what. The AI scores each customer for each product line based on past behaviour, so your campaigns go to the people most likely to respond.
For owners spending on several channels, like Google, Meta, flyers, and email, who cannot tell which ones really bring sales. The model looks at your sales and spend over time and shows what each channel truly contributes and how to split next month's budget.
For sales teams who hate digging through the CRM and typing notes. Your team asks things like 'what did we promise this client last month?' and the assistant answers from your real records, drafts follow-ups, and updates records when told.
For businesses sending newsletters and offers to their list. Instead of one message for everyone, the AI writes a version for each customer, with a subject, wording, picture, and offer that fit what they bought and browsed, all within your brand rules.
For B2B businesses chasing a short list of big-fit companies. The system scores the accounts in your CRM, maps the people you already know there, and runs coordinated emails, ads, and sales tasks toward each account.
For owners who want to know what will actually close this month and quarter. The AI estimates each deal's chance and timing from your CRM history and rolls it up into a forecast, flagging deals that are slipping.
For businesses where enquiries sit unanswered because nobody knows whose turn it is. Each new enquiry goes straight to the best team member based on area, workload, and fit, with reminders and escalation if no one replies in time.
For sales-led businesses that want to know why deals are won or lost. The AI reads your closed deals, notes, and call transcripts, finds the reasons that keep coming up, and turns them into coaching tips and playbook updates.
For businesses running Meta or Google ads who want better audiences. The AI studies your best customers from your own records and sends a ranked, privacy-protected seed list to the ad platforms so they find similar people.
For businesses that grow by word of mouth. The AI spots which customers are most likely to recommend you and sends them a well-timed, personal referral invitation, then shows which referrals turned into sales.
For B2B businesses where several people from the same company contact you separately. The system links each new enquiry to the right company record in your CRM so your team sees the whole picture and reports by company.
For businesses spending on several ad platforms who want a clear answer on where the next euro or dollar should go. The system connects your ad spend and conversions, credits each channel fairly, and recommends how to split the budget.
For businesses paying for ads and getting fake clicks, bot form fills, or spam leads. The AI watches your ad traffic and form submissions, blocks the junk, and shows how much wasted spend it caught.
For businesses whose support team hears 'can it also do this?' or 'I'm thinking of cancelling' every day. The AI reads support conversations, spots upgrade interest and unhappy customers, and sends them to the right salesperson or account manager.
For businesses messaging customers by email, text, and other channels who need to respect each person's choices everywhere. We build one preference centre and make every sending tool check it before a message goes out.
For growing businesses whose customer and sales data is spread across a store, CRM, ad accounts, and email tool. We bring it all into one database, define the key numbers once, and push clean customer segments back into your tools.
For sales teams that forget to log calls. After each sales meeting, where everyone has been told it is recorded, the AI writes the summary, pulls out promises and next steps, and updates the deal in your CRM.
For businesses spending meaningful amounts on marketing who want to know what truly adds sales, not just which ad got the last click. The model estimates each channel's real added effect and shows where extra spend stops paying.
For growing companies where every team reports different numbers. We pull your systems into one versioned data store, define each key number once with tests, and make it available to dashboards and tools.
For businesses where problems show up as odd combinations, like orders up but payments down. The AI watches many numbers together and alerts you when they stop moving the way they normally do, and says which ones caused it.
For businesses planning stock, staff, or cash who need a reliable look ahead. The system combines several forecasting methods, gives a likely range rather than a single guess, and updates as new data comes in.
For businesses that want to know which numbers move before sales do, like quote requests or website visits. The AI tests your numbers to find real early signals and puts them on a simple early-warning dashboard.
For owners who don't have time to study dashboards. Every week or month, the AI checks all your numbers, picks the changes that really matter, and writes a short plain-English report where every claim links to the figure behind it.
For owners who compare budget with actual results each month and want to know why they differ. The system reconciles your figures, splits each gap into price, volume, and mix, and writes a short commentary you can share.
For businesses tracking many numbers who want to know which ones are linked. The AI tests relationships, filters out coincidences, and shows the genuine links on a simple dashboard.
For businesses receiving complaints by email, forms, and reviews. The AI sorts each complaint by type and urgency and sends urgent ones straight to the right person.
For subscription and repeat-purchase businesses where unhappy reviews often come before cancellations. The AI links review tone and unresolved issues with your customer records to flag customers at risk of leaving, so your team can reach out first.
For businesses that want to know which parts of the experience bring customers back. The system links review and support tone with repeat purchases and shows which aspects matter most for loyalty.
For local businesses missing from the directories and listing sites customers and search engines trust. We map where you are listed, find the valuable sites where you are missing, and work through submissions for you.
For businesses running ads to local landing pages. The system tests different headlines, photos, and offers on each local page and automatically shows more of what works for each area and device.
For local businesses doing many things, posts, reviews, listings, and ads, without knowing which ones bring money. The system joins rankings, profile data, calls, and sales to show which actions led to revenue.
For local businesses whose listing questions go unanswered or get wrong answers from strangers. The system watches for new questions, drafts accurate answers from your own information for your team to post as the business, and flags misinformation.
For franchise brands whose locations drift off-brand on listings, websites, and social posts. The AI audits each location's online presence against your brand standards, scores what is wrong, and creates fix tickets for each location.
For businesses that get many phone calls from ads and listings. Calls recorded with the caller's notice are transcribed, and the AI marks each one by intent, quality, and source, then logs the result in your CRM.
For brands with several shops or stockists. We build a store finder on your website plus a search-friendly page for each location, and the AI keeps details accurate and the nearest store first for each visitor.
For local businesses that advertise by area. The model combines public neighbourhood statistics with your own past campaign results to show which neighbourhoods respond best and which message suits each. It is never used for housing, job, or financial-product ads.
For local businesses that get views and clicks but fewer calls or visits than expected. The system pieces together the path from listing to website to call or visit and shows where people give up and what to fix first.
For businesses thinking about opening in a new town or area. The model looks at local competitors, search demand, and your own results to estimate how quickly a new location could get found and busy under different marketing budgets.
For businesses whose name gets confused with others or whose details differ across the web. We build a clear structured profile of your business, locations, and services and publish it consistently so search engines and directories understand exactly who you are.
For businesses buried in incoming paperwork: invoices, contracts, delivery notes, and forms. The AI recognises each document, pulls out key details, names it properly, and files it in the right folder or system, even from mixed scanned batches.
For owners who feel the team is busy but don't know where the time goes. We read the activity history already stored in your systems, rebuild how work really flows, and show which steps to automate first.
For teams whose dashboards quietly go stale or show wrong numbers. The system watches your data feeds every day, catches missing, late or broken data, explains the cause, and fixes the common problems itself.
For businesses that rely on outside suppliers and software vendors but never re-check them after signing. We collect their answers and documents, watch for warning signs in the news, and keep a simple risk list up to date.
For businesses with automations scattered across many tools and nobody sure what runs where. We bring them under one control panel that shows every job, retries failures, and tells you what broke.
For growing teams where approvals sit in someone's inbox for days. The system sends each request to the right person based on your rules, reminds them, and escalates when it stalls.
For subscription businesses that learn a customer is unhappy only when they cancel. The system scores every account's health daily and tells your team exactly what to do for the ones slipping.
For bookkeepers and tax preparers drowning in client paperwork every season. The system reads uploaded forms and receipts, pulls out the numbers, checks they add up, and fills your preparation software for review.
For teams that waste time clicking through many tools for simple tasks. Staff type what they need in plain words, and the assistant looks things up or does the task in your systems, asking first before anything important.
For owners who receive a 'slightly updated' contract or policy and must spot what changed. The system compares versions by meaning, highlights changed amounts, dates, names and clauses, and sends the marked-up copy to whoever must sign off.
For businesses that need someone on screen explaining things but don't want to film. A licensed or fully synthetic presenter reads your script with natural lip movement, in each language you sell in.
For brands producing lots of videos with many hands involved. Before a video goes out, the system checks logos, colours, fonts and banned content frame by frame and shows exactly what to fix.
For businesses with data worth sharing but no time for animation. Give it a spreadsheet and a short brief, and it builds an animated chart video with voiceover, in your brand style.
For marketers who need the key message to be seen. The system predicts where viewers' eyes go across your video and flags moments when your offer or logo is likely missed.
For businesses with happy customers on video but no time to edit. The system transcribes testimonial clips, finds the strongest moments, and builds a captioned reel — only from customers who gave consent.
For founders with a pitch or product doc but no explainer video. The system turns it into an animated explainer with moving text, icons, voiceover and smooth scenes.
For businesses whose ads must always carry certain notices or wording. The system checks each finished video against your own checklist, confirming every required line appears, is readable and stays on screen long enough.
For online businesses losing people between landing and checkout. The system studies each step of your sales path, predicts where visitors are likely to leave, links it to likely causes, and ranks fixes by revenue.
For businesses unsure whether their prices or bundles are right. The system studies how different customer groups respond to price, tests offers carefully on small slices of traffic, and recommends what to try next.
For businesses unsure which page layout sells best. The system creates many layout versions within your brand rules and lets real visitor results decide which survive and combine.
For subscription businesses wasting discounts on customers who'd stay anyway. The system predicts who might leave and, more importantly, who will respond to a retention offer, so you only act where it matters.
For owners with a slow website and no idea which fix matters. The system links page speed to sales, shows what slowness is likely costing you, and ranks fixes by impact.
For online stores that lose buyers at the very last step. With visitor consent and every form field hidden, the system spots hesitation at checkout — re-reading shipping costs, hovering over security badges, going back to the basket — and suggests the reassurance that would help.
For businesses with lots of customer activity data and no analyst to read it. The system groups customers by how they behave, notices when a group grows, shrinks or changes, flags unusual spikes, and explains every change in plain words.
For businesses with many reviews, support tickets and survey answers that nobody has time to read. The system mines them for the doubts and wishes that stop people buying, ranks them, and shows which page sections should answer each one.
For online businesses selling across countries with one generic site. The system shows each visitor local currency, language, payment options and trust signals, and learns which local touches help people buy in each market.
For online businesses that find out about a broken checkout or a failing campaign days later. The system learns your normal sales pattern, alerts you quickly when something drops, and points to the likely cause — a website change, a campaign or one customer group.
For websites where valuable visitors hover over the price and then leave. The system notices hesitation, opens a helpful chat at that moment, answers from your own product information and learns which conversation style helps people decide.
For businesses paying for clicks that bounce straight away. The system compares what each ad promises with the page it lands on, shows which sources bounce because of a mismatch, and writes landing versions that keep the promise.
For businesses whose customers visit many times before buying. Only for logged-in or consenting visitors and using your own IDs, the system joins their visits into one journey, shows where decisions stall and suggests timely follow-ups.
For businesses that want to sell more online without invasive tracking. The system runs tests and simple personalisation using only aggregated, privacy-friendly signals and no third-party cookies, and documents every data flow for you.
Shoppers who find an item sold out can ask to be told when it is back. When stock arrives we let them know by email or text, only as many as you have in stock, and you get a weekly list of what people are waiting for so you can reorder the right things.
For product teams whose requirements live in scattered briefs, design files and call notes. The system compiles them into one connected list of requirements, flags vague or conflicting ones, and creates tickets with checks for done.
For teams who are nervous every time the database structure must change. The system studies how your app really uses its data, writes changes that can be undone, rehearses them on a copy first and suggests indexes that speed up slow screens.
For software teams with feature switches piling up and nobody sure which are still needed. The system tracks every switch, spots stale and clashing ones, and writes the clean-up code once a feature is fully live.
For teams whose website is split into parts built by different groups. The system joins the parts into one smooth site, blocks any update that would break another part, and removes duplicate code loaded twice.
For start-ups whose cloud setup was clicked together by hand and nobody dares touch it. Describe what you need, and the system writes the setup as code, checks it against your rules and expected cost, and watches for drift afterwards.
For teams who learn about slow pages and errors from angry customers. We add tracing to your app so every request can be followed end to end, with dashboards and alerts tied to what users actually experience.
For teams whose product or developers run code written by AI, and who worry what that code might touch. We build a locked-down place where every generated script runs first, checked against your own security rules, before it reaches real data.
For software teams whose orders, bookings or payments span several services and sometimes get stuck halfway. We build the process so every step either completes or is cleanly undone, and each failure path is checked before launch.
For software teams whose releases sometimes break things for everyone at once. Each update goes to a small group first, the system compares errors, speed and sales against the old version, and promotes or rolls back automatically.
For start-ups that know what data and user roles their app needs but not how to build the back end. Describe your data and who may do what, and we generate the back end with checks and tests that try to break the permissions.
For apps that slow down under load but fear showing customers outdated data. The system studies how your data is read and written, sets up caching at the right layers and checks that nobody ever sees stale information.
For development teams drowning in security scanner warnings, most of them duplicates or impossible to reach. The system combines your scanners, merges repeats, checks which warnings real input could actually trigger, and drafts fixes for the ones that matter.
For teams who worry a password or access key has slipped into code or logs. The system scans commits and build logs, tells real secrets apart from test values, and helps you swap out any leaked key quickly.
For businesses with a web app or API who have never had it properly tested. We set up an automated tester that knows your app's screens and logins and keeps throwing unusual inputs at it to find weak spots before others do.
For businesses who are asked 'where does my data go?' and can't answer. The system traces personal data through your code, databases and outside services and keeps a live map and inventory up to date.
For businesses whose internal services can all reach each other, so one break-in spreads everywhere. The system watches real traffic between your services, writes rules allowing only the connections that are needed, and tests them on real traffic before switching them on.
For small businesses that couldn't survive having their files locked by ransomware. The system watches your servers for the tell-tale signs — mass file changes, deleted backups, decoy files touched — and cuts the machine off the network the moment it sees them.
For tech businesses unsure whether their encryption is current. The system lists every place your code, websites and key stores use encryption, flags weak settings, expiring certificates and keys never changed, and builds a plan to modernise.
For small teams who would panic if they were hacked or had a major outage. We turn your response plan into automatic steps that gather the facts, contain the problem and draft updates to customers and staff.
For businesses keeping customer data far longer than needed because deleting feels risky. The system sorts stored data by sensitivity, applies your keep-or-delete schedule, respects records on hold, and keeps a log proving what was deleted.
For growing companies where staff collect access to tools and nobody removes it. The system compares who has access with who actually uses it, pre-sorts the safe items for one-click confirmation, and sends only the questionable ones to the right owner.
For businesses who don't know every website, server and subdomain they have online. The system discovers your internet-facing assets, including forgotten ones, scores how exposed each is and alerts you when something new appears.
For apps whose screens slow down as data grows. The system collects your slowest database queries, groups them by cause, and recommends indexes and rewrites that are tested on a copy before you apply them.
For businesses whose cloud bill jumps without warning. The system watches your cloud usage and spend every day, alerts you to unusual spikes, and explains which service, team or change caused them.
For online businesses losing money to customers who game the system — stacking coupons, abusing refunds or hoarding stock. The system learns what normal shopping looks like and flags unusual sequences that your usual checks miss.
For businesses with many websites and services, where one expired security certificate can take a site down. The system finds every certificate, renews and replaces them automatically, and warns about weak or wrongly issued ones.
For software teams who hope their app survives a crashed server or slow supplier but have never checked. The system runs small, controlled failure tests with strict limits and shows whether users would notice.
For businesses holding valuable customer or company data. The system learns what normal outgoing traffic looks like, spots unusual uploads, hidden channels and odd destinations, and slows or blocks suspicious transfers in stages.
For software teams torn between shipping fast and keeping the app stable. We set clear reliability targets with you, track how much room for error is left, and hold back risky releases when that room runs out.
For businesses whose apps expose APIs nobody has fully listed. The system discovers every API from real traffic and specs, checks for common API weaknesses like seeing other users' data, and enforces rules at the gateway.
For businesses that make backups but have never tried restoring one. The system regularly restores your backups into a sealed-off test space, checks the data is complete and correct, and tells you plainly whether you could recover.
For software teams bitten by 'it worked in testing'. The system compares the settings of each environment against the agreed source of truth, explains each difference and opens fixes so test and live stay in step.
For businesses that receive files from strangers — invoices, attachments and customer uploads. The system inspects each suspicious file and, if needed, opens it safely in a sealed test machine to see what it tries to do.
For software teams who want security mistakes caught at code review, not after launch. The system checks every pull request for common unsafe patterns — like unsafe database queries or unescaped output — and suggests the exact safe rewrite.
For teams whose outages often follow a release. The system learns from your past changes and incidents which kinds of change tend to cause trouble, scores each new release, and suggests extra care for the risky ones.
For businesses where a few people have full admin access to servers. Sessions on company systems are recorded, with admins told by a login banner, and the system flags unusual commands and writes a short story of each session.
For B2B businesses whose salespeople chase whoever is on a list. The system learns what your won deals have in common, finds similar companies showing buying interest, and refreshes a ranked target list in your CRM every week.
For sales teams whose inbox fills with replies — interested, not now, wrong person, objections. The system sorts every reply by intent and objection, sends hot ones to a rep instantly and drafts grounded responses for approval.
For subscription software businesses that want to know which customers are ready to buy more and which are drifting away. The system reads product usage every day, scores each account for growth potential and leaving risk, and tells the account owner why.
For B2B sellers with case studies nobody can find at the right moment. The system matches each prospect's industry, size and problem to your most relevant proof and writes a one-page brief citing exactly where each claim comes from.
For businesses that send a lot of sales emails and messages and worry about writing to someone who said no. Every message is checked against your opt-out lists, consent records and the rules you approved before it goes out. Anything risky is held back for a person to look at.
For business-to-business sellers whose website gets visits but few form fills. It shows which companies, never which people, are reading your pages and how interested they look. The best-fit companies go straight into your CRM for follow-up.
For small teams who want introductions instead of cold emails. We map who on your team knows whom, using your own contacts and CRM history, and show the best warm route into each company you want to win. The AI drafts a polite introduction request for your colleague to approve.
For businesses whose leads go quiet after the first contact. Each lead gets follow-up emails that change based on what they open and click. Leads that look ready are passed to you, and cold ones get a fresh approach later instead of more of the same.
For small sales teams that want every rep writing and talking like their best. The AI reviews each rep's emails and recorded calls, with everyone's notice, and gives each rep private tips on their own work. Managers only see team-wide patterns, never rankings.
For businesses with a pile of leads that went quiet or said no. The AI finds which ones are worth trying again and writes a fresh message tied to what has changed since. Sends are approved by you and kept to a safe number.
For businesses that get work through partner firms. The AI finds which of your target accounts are a good fit for both you and a partner, drafts joint introductions for both sides to approve, and keeps score of who referred what.
For sales teams juggling many leads across tools. Each rep gets one ranked list of who to contact next and why, with the message already drafted. Response-time timers make sure hot leads are never left waiting.
For businesses using AI to write outreach that sounds generic or off-brand. We train a writing model on your approved messages so drafts sound like you, and a checker blocks anything with banned phrases or claims you have not approved.
For businesses that need clear, provable opt-ins before marketing. A friendly chat on your site asks visitors what they want to hear about and on which channels. It saves the exact wording shown and the time, and updates every marketing tool you use.
For founders who need to know how many possible customers exist and where. The AI builds a map of every company that matches your ideal customer, counts each segment and estimates its value. You see which groups you have barely touched.
For businesses whose big clients deserve a personal touch. The AI spots key moments like a renewal, a milestone or a new contract, suggests a gift and writes a personal note. You approve each one and the budget limits keep spending in check.
For businesses whose customers ask for advice online. The AI watches public social posts and communities for questions and complaints your offer solves. It drafts a genuinely helpful reply for you to approve before anything is posted.
For growing teams whose sales, marketing and product data live in separate tools. We bring it all into one tidy store that every lead score and report draws from. The AI watches data quality and warns you before reports start going wrong.
For businesses buried in repeat support questions. The AI looks at all your tickets and chats to show where your help pages work, where they fail, and which missing answers create the most contacts. You get a ranked list of fixes.
For support teams that promise reply or fix times to customers. The AI looks at every open ticket and warns you which ones are likely to miss their deadline, based on queue size, complexity and who is busy. Risky tickets rise to the top before it is too late.
For businesses whose service sometimes goes down or runs late. When your monitoring spots a problem, the AI works out which customers are affected and drafts a clear, honest update for you to approve. Customers hear from you first, so fewer of them contact support.
For businesses answering customers on email, chat, WhatsApp and social all at once. Every message lands in one shared inbox, linked to the same customer whichever channel they use. The AI routes each one to the right person and keeps the full conversation history together.
For support teams with lots of saved replies but no idea which ones work. The AI learns which saved replies and help articles actually solve each type of ticket and suggests the best one as the agent opens it. Customer details are filled in automatically.
For businesses that only learn a customer was unhappy when they cancel. The AI reads each conversation and predicts how satisfied the customer is and whether they might leave. Your team gets a short daily list of people to reach out to.
For businesses that must be careful what their support team says. Every reply is checked against the wording, disclosure and personal-data rules your team sets. Problems are blocked or corrected before sending, and a permanent log shows what was said.
For support teams that spend most of the day typing answers. The AI writes a full reply for every ticket with links to where the facts came from. Your agent checks it and sends with one click, and the AI learns from every edit.
For businesses whose customers keep getting stuck at the same points. The AI joins your support conversations with how people use your site or product to show exactly where they get confused. You get a ranked list of fixes to the product or help content.
For businesses whose support replies sound cold or robotic. The AI rewrites replies in your brand's tone, warmer when a customer is upset and more direct when they are in a hurry. It blocks dismissive phrases and keeps language simple and inclusive.
For businesses with renewals, warranties or usage limits that catch customers by surprise. The AI spots these moments coming and prepares a helpful, well-timed message for you to approve. Customers get answers before they need to ask.
For support teams whose ticket categories are messy or missing. The AI reads your past tickets, builds a clear list of topics and sub-topics, and then tags every new ticket. You finally see what customers contact you about.
For businesses where some customers are worth special care. The AI recognises messages from your top accounts using your CRM, sends them straight to your best people, and adds a short summary so nobody asks them to repeat themselves.
For support teams where tickets bounce back and forth. The AI learns from your past solved tickets which fix works best for each problem and shows agents the most likely answer first. More problems get solved in one reply.
For businesses whose customer details are scattered across many tools. We pull it all into one organised memory so your chatbots and team can instantly look up a customer's history, orders and preferences. Answers become personal instead of generic.
For businesses starting to use AI for support replies but nervous about mistakes. The system decides which replies can go straight out and which need a person to check, based on confidence, topic risk and customer importance. As the AI proves itself, more replies go out automatically.
For businesses that find out about a product problem only when complaints pile up. The AI watches incoming tickets for new kinds of complaints and sudden spikes. You get an alert with examples as soon as a new issue starts to grow.
For businesses that need a support assistant that never makes things up. It answers only from your approved help content, shows where each answer came from, and hands over to a person when a question goes beyond what it may answer. Off-limits topics get your approved polite response.
A voice AI that answers your business phone in a natural voice, greets callers, answers your FAQs, takes messages, and routes urgent calls to you — trained on your business.
A voice AI that calls back new leads within minutes of them asking for a call and ticking your call-consent box, says up front that it is an AI, and books the next step — the follow-up you never have time to do. It never calls anyone without recorded consent.
A voice AI that takes reservations, manages your waitlist, and fills cancellations by calling the next guest — well suited to restaurants, salons and studios.
An AI agent that reads the request, checks your policy, processes the refund or return in your system, and replies to the customer — closing the loop automatically.
We connect your disconnected tools (forms, CRM, email, spreadsheets, invoicing) so data flows automatically and the manual copy-paste between them disappears.
An AI agent that reads invoices and receipts, extracts every line, codes them correctly, and files them into your accounting — no more manual data entry.
An AI agent that logs every call (where callers were told it is recorded), email and interaction into your CRM automatically, updates statuses, and flags who needs follow-up — a clean CRM with zero admin.
An AI agent that takes each new order, updates inventory, triggers fulfillment, and keeps the customer informed automatically — end to end.
An AI agent that runs your onboarding — sends the right docs, collects what's needed, sets up accounts, and checks nothing was missed — the same great start every time.
An AI agent that reads the customer's problem, takes the real action to fix it (refund, reschedule, update, look-up), and only escalates the truly hard ones — cutting your ticket load dramatically.
A live-chat AI that answers visitor questions from your real info, guides them to the right product, and captures the sale or lead — grounded, never made-up.
An AI agent on your WhatsApp Business that answers questions, shares your catalogue, books and takes orders — meeting customers where they already are.
We produce a steady stream of on-brand ad creatives, product descriptions and creator-style content that is clearly the brand's own (never presented as real customer reviews or testimonials) so your ads and store never go stale.
An AI that reads your incoming documents and forms, pulls the key data, and files it where it belongs — the end of manual paperwork.
An AI SDR that researches companies that fit your ideal customer from company-level public data, drafts personalized emails for you to approve and send one-by-one from your own mailbox with an opt-out line, follows up with people who reply, and books meetings into your calendar.
An AI that asks every customer for a review at a well-timed moment, across email and text, and alerts you to any unhappy reply so you can fix the problem — without filtering who gets asked.
An AI that keeps your Google Business Profile and every listing optimized, posts weekly, and drafts review replies — the groundwork local-pack visibility is built on (no ranking is guaranteed).
An AI that categorizes every transaction, reconciles accounts, and flags anything odd — clean, current books without the manual work.
An AI that suggests a relevant add-on to each customer at a well-timed moment — bigger baskets without discounting.
An AI that spots customers who've gone quiet and runs personalized win-back offers across email and text to customers who opted in to marketing — revenue you'd written off.
An AI that runs your referral program — asks at the right time, tracks rewards, and nudges — word-of-mouth on autopilot.
A done-for-you loyalty program that rewards repeat customers automatically and brings them back more often.
A done-for-you Google Ads setup: campaign structure, keywords and ad copy ready to launch, conversion tracking, and a weekly optimisation checklist so your ads keep improving week by week.
A done-for-you Meta ads system: creative, targeting and optimization handled, so your ad budget finally pays off.
We turn your ordinary product photos into clean, professional, store-ready images that sell.
We virtually stage and enhance property or space photos so they present the space well, clearly labelled as virtually staged.
A branded client portal where customers book, pay, upload and track — looking bigger and more professional than you are.
A done-for-you membership site with gated content, payments and member management — a new income stream, built for you.
We build your complete online store — products, payments, shipping, the lot — so you can start selling online this week.
A done-for-you social media system that plans, writes, designs and schedules your posts across every platform.
We design and build a fast, beautiful website engineered to turn visitors into customers — ready to launch and grow your business.
A done-for-you backup and security setup that backs up your files and customer data, tests that restores work, and alerts you to suspicious activity it detects.
We diagnose and fix everything slowing your website down, so it loads instantly, ranks better, and loses fewer customers.
A complete event system — registration page, reminders, follow-ups — that fills your event and nurtures every attendee.
An agent that takes raw inbound or list leads, enriches each with firmographics, tech stack, funding and buying signals, then scores fit against your ICP and writes a one-line rationale. It syncs the enriched, scored record straight into your CRM and flags junk for review.
An agent that builds targeted company lists from your ICP using company-level public data only (no scraped personal contact lists), researches each account for a genuine trigger event, and drafts a personalized first-touch grounded in that trigger. Every draft is queued for human approval and sent one-by-one from your own mailbox with an opt-out line, with the research shown alongside.
An agent that reads a shared inbox, classifies each message by intent, drafts the right reply from your knowledge base, and completes the linked action — booking, refund, lookup — for the categories you authorize. Anything outside its authority is escalated with a suggested response for a human to approve.
An agent that aggregates signals from email, chat, tickets, dashboards and calendars into a prioritized daily brief for a leader, flagging what needs a decision today. It can execute pre-approved responses (accept, delegate, schedule) on the leader's behalf and logs each one.
An agent that pulls records from two or more systems (e.g. CRM vs billing, PMS vs ledger), matches them with fuzzy keys, and classifies every mismatch by root cause. It auto-corrects the discrepancies you authorize and files the rest as review cases with proposed fixes.
An agent that continuously scans your CRM for duplicate accounts/contacts, malformed fields, and orphaned records, then merges and normalizes within rules you set. It presents ambiguous merges as review cards and keeps a reversible log of every change.
An agent that profiles a source dataset, proposes a field mapping to the target schema, transforms and validates records in batches, and reports every row it couldn't map cleanly. It runs a dry-run with a human sign-off before committing any writes to the destination system.
An agent that continuously checks your operations, content and records against your own codified internal policies, flags violations with the offending evidence, and opens remediation tasks routed to owners. It keeps an evidence trail of every check and escalates high-severity findings immediately.
An agent that monitors regulators, standards bodies and legislative feeds relevant to your business, summarizes each change with a link to the source, and lists the internal documents that mention the same topic. It routes each item to the owner you name (your counsel or compliance lead) to decide what, if anything, changes; it monitors and summarises, it does not interpret the law.
An agent that ingests supplier invoices from email and portals, extracts line items, three-way matches them against POs and receipts, and routes exceptions for approval. It schedules clean invoices for payment within terms and posts everything to your accounting system with an audit trail.
An agent that watches your aging report, sequences email payment reminders to your business customers (B2B invoices only, never consumer debts) by account and relationship, and offers payment plans within pre-set terms. It escalates disputes and hardship cases to a human and logs every promise-to-pay.
An agent that pulls bank feeds and your ledger, matches transactions automatically, and categorizes and proposes journal entries for the unmatched. It flags suspicious or duplicate transactions and holds all entries for accountant approval before posting.
An agent that drives the close checklist, kicking off accruals, reconciliations and inter-company entries in dependency order, chasing owners for their sub-tasks, and tracking readiness in real time. It blocks the close from advancing until each control passes and a controller signs off.
An agent that reviews every submitted expense against your policy, receipts and duplicate history, auto-approving clean claims and flagging violations with the specific rule cited. It routes edge cases to managers and builds a spend-anomaly report for finance.
An agent that pre-checks each payroll run for anomalies — missing hours, out-of-band pay changes, pay-code mismatches, and missing tax-setup fields — before it's committed. It gives payroll a triaged exception list with proposed fixes and holds high-risk items for payroll's sign-off.
An agent that runs client/vendor tax-document gathering season: identifying who owes what, sending reminders, validating uploads for completeness, and chasing missing items until the file is complete. It flags mismatches (e.g. W-9/TIN issues) and hands a ready package to the preparer.
An agent that intakes warranty claims, verifies coverage and serial/purchase records, requests missing evidence, and adjudicates within policy to approve, deny or route repairs. It drafts the customer decision letter and escalates ambiguous claims to a specialist.
An agent that scans your site against WCAG, prioritizes violations by severity and traffic, and applies safe remediations (alt text, ARIA, contrast, focus order) through the CMS. Structural changes are proposed as diffs for a developer to approve.
An agent that watches your monitoring and alerting stack, correlates related alerts into a single incident, enriches it with recent deploys and logs, and proposes a probable cause and severity. It pages the right on-call, opens the incident channel, and drafts the status update — executing remediation only from an approved runbook.
An agent that continuously baselines your logs and metrics, detects anomalies, and runs a scripted investigation — querying traces, correlating with changes, and narrowing to a likely cause. It files a findings ticket with evidence and recommends a fix, escalating to an engineer for any action.
An agent that ingests vulnerability scans and advisories, correlates them to your actual asset inventory, prioritizes by exploitability and exposure, and opens remediation tickets with the fix. It can stage patches in non-prod but requires change approval before any production rollout.
An agent that intakes change requests, assesses risk and blast radius, checks for conflicting changes and freeze windows, and assembles the approval package for the CAB. It auto-approves low-risk standard changes within policy and routes the rest with a recommendation.
An agent that handles new-matter intake: capturing the inquiry, searching your client/matter database for potential conflict matches, routing by the practice areas you define, and assembling the engagement package. Every potential match and the final conflict decision go to an attorney before any engagement letter goes out; it never gives the enquirer legal advice.
An agent that parses an incoming RFP into a requirements matrix, drafts answers from your approved content library, flags gaps needing an SME, and assembles a compliant response document. It tracks deadlines and holds the final for a bid-owner's approval before submission.
An agent that manages every location's local listings and reviews at scale: keeping NAP data accurate across directories, responding to reviews per location in brand voice, and fixing listing inconsistencies. It flags reputation dips and duplicate/rogue listings for the marketing team.
An agent that watches transaction and account-behavior signals, correlates them into fraud cases with a risk score and the contributing evidence, and takes protective action (hold, step-up verify) within policy. It queues borderline cases for a fraud analyst and never blocks a customer beyond policy without review.
An agent that watches support tickets, product changes and doc-feedback signals to detect stale, missing or contradictory knowledge-base content, and drafts updates grounded in the source of truth. Each change is staged for an owner's approval before publishing, with a redline of what changed.
An agent that tracks all your software and vendor contracts, alerts owners ahead of renewal and auto-renew dates, and analyzes usage to recommend renew, renegotiate or cancel. It assembles the renewal decision package and routes it to the budget owner for approval.
An agent that assembles funder and program reports by pulling outcome metrics from your systems, mapping them to each funder's required format, and drafting the narrative grounded in the data. It tracks reporting deadlines and holds each report for a program lead's approval before submission.
For businesses whose data sits in many systems and gets copied into spreadsheets by hand. We build a scheduled pipeline that pulls from your databases and apps, cleans the data and loads tidy tables into one warehouse. AI watches each run and explains problems in plain words.
For companies whose reports run on fragile, undocumented data logic nobody dares touch. We move raw data into a clear landing area and rebuild your reporting tables as versioned, tested models with documentation. AI keeps the documentation current and explains each model's purpose.
For companies whose reports slow down the main database or show yesterday's numbers. We set up a live copy that streams every new, changed and deleted record from your production database into your warehouse or a replica, without heavy queries on the original. AI watches the copy and explains any lag.
We set up automatic data-quality checks that run on every data load, testing freshness, sudden changes in volume, missing values, duplicates and broken links between tables. Failures raise alerts and can stop bad data from reaching dashboards.
We stand up a searchable data catalog that documents every table, column, and owner, and traces column-level lineage from source through transformations to dashboards. Analysts find trusted data and see exactly what feeds any metric.
We migrate data out of an aging system into a modern platform, profiling the source, mapping fields, transforming formats, and validating record counts and integrity after load. We run parallel dry-runs before the final cutover.
We build an MDM hub that unifies your core entities — customers, products, suppliers — into golden records with survivorship rules across source systems. It resolves duplicates, standardizes attributes, and publishes the trusted version back out.
For companies with lots of data, such as logs, sensor readings or files, that is too costly to keep in a regular warehouse. We build a store on low-cost storage with reliable tables, history you can go back to, and a query tool. AI keeps tables tidy and explains query costs.
We design and build a dimensional (star-schema) model for your warehouse, defining conformed dimensions and fact tables that make analytics fast and intuitive. We handle slowly-changing dimensions so history is preserved correctly.
For businesses that rely on notifications from payment and software providers and occasionally lose them. We set up a receiver that checks each notification is genuine, removes duplicates, stores it safely and delivers it to your systems, replaying any that fail. AI watches deliveries and explains failures.
We audit your warehouse workloads and re-engineer them to cut compute and storage spend — right-sizing warehouses, clustering tables, pruning unused models, and rewriting expensive queries. We deploy the changes and monitor the savings.
We stand up managed connectors that pull data from your key SaaS tools — payments, ads, support, CRM — into your warehouse on schedule with schema handling and incremental loads. New sources plug in without custom code each time.
We implement Type 2 slowly-changing dimensions so your warehouse preserves the full history of records that change over time — prices, statuses, assignments. Every analysis can ask what a value was on any given date.
We implement role-based access, column-level security, and data masking across your warehouse so sensitive fields are protected and access follows policy. We document who can see what and keep a searchable access log.
We build an automated reconciliation pipeline that matches transactions across your payment processor, bank, and ledger, flagging mismatches and unexplained gaps. It runs daily and produces an exception report for finance to clear.
For teams with many data pipelines who only learn of failures when a report looks wrong. We track every pipeline's run time, freshness, volumes and failures on one dashboard with history. AI explains what broke and why, and routes alerts to the right person.
We take the critical spreadsheets your business secretly runs on and migrate them into a proper relational database with validation, relationships, and multi-user access. Formulas become queries and manual edits become a controlled app.
For companies where every report shows a different revenue or customer count. We define each metric once in one central place, so every dashboard and query calculates it the same way. AI answers questions about metrics and explains definitions in plain words.
We build a pipeline that produces masked or synthetic copies of production data for testing and analytics, masking identifiers while preserving statistical shape and referential integrity. Teams get realistic test data with far fewer identifiers in circulation (masked data is still handled under your own privacy policies).
We implement data contracts between the teams that produce and consume data, defining schemas and expectations that are enforced automatically in CI and at ingest. Breaking changes are caught before they hit downstream consumers.
We migrate your on-premise or legacy warehouse to a modern cloud platform, moving schemas, data, and transformation logic while validating parity at each step. We plan the cutover to avoid disrupting reporting.
For teams whose data pipeline changes sometimes break reports in production. We add tests, a staging area and automatic checks so every change is validated before it goes live, with a clear roll-back. AI reviews each change and explains test failures.
We build a system that automatically moves aged data from expensive hot storage to cheap cold tiers while keeping it queryable, applying retention policies per data type. Costs drop without losing access to history.
We help you give each team ownership of its own data, published as data products with their own data flows, agreements and access points, connected through shared standards. Each team owns its data as a governed product.
We build a pipeline that normalizes transactions across currencies, applying correct exchange rates by date and producing consolidated financials in your reporting currency. International operations roll up correctly.
We set on-time promises for your data and watch when each data load arrives, alerting the right people when data is late. Your team gets clear commitments and early warnings, not surprises, about when data is ready.
We build a Data Vault 2.0 model — hubs, links, and satellites — giving you a highly auditable, agile warehouse foundation that absorbs source changes and preserves full history. It suits regulated, fast-changing environments.
For teams whose live data double-counts orders or clicks when events are retried or replayed. We add duplicate blocking to your live data stream so each event is counted once, even at high volume. AI tracks the duplicate rate and explains spikes.
For businesses whose dashboards load slowly and show different numbers for the same thing. We build the tidy tables, summaries and metric layer behind your dashboard tool, connect it, and check every report. AI answers questions about your numbers in plain words.
For teams adding new data sources often and writing custom code each time. We build a reusable framework so any new source lands in your data lake the same way, with layout, schema and records captured, by filling a short setup file. AI drafts the setup for each new source.
We build robust backfill tooling for your pipelines so you can safely reprocess historical data for a date range or fix a bad load without corrupting downstream tables. Recovery from a bad day becomes a routine command.
We build a service that enriches your records with third-party data — company size and industry, the tools they use and public company-registry data — calling providers efficiently with caching and fallback across sources. Thin company records become complete.
We audit an existing warehouse for schema debt, unused tables, redundant models, broken lineage, and slow queries, then deliver a prioritized remediation plan with the quick wins already applied. You learn exactly what to fix and why.
We refactor a tangled, monolithic pipeline into modular, reusable, well-tested components with clear boundaries and documentation. Future changes touch one small piece instead of risking the whole chain.
For software companies whose customers share one database and need proof their data is kept apart. We design and build separation so each customer's data is only reachable by that customer, in the database and the data flows. AI runs regular separation checks and reports per-customer usage.
We convert full-refresh warehouse models to incremental processing, so each run only handles new or changed data instead of rebuilding everything. Runtimes and costs drop sharply while results stay correct.
We build disaster recovery for your data platform — automated backups, cross-region replication, and tested restore procedures so a failure doesn't mean permanent loss or days of downtime. Recovery is drilled, not theoretical.
We build an ongoing data-quality scorecard that measures completeness, accuracy, consistency, and timeliness across your key datasets and reports trends to stakeholders. Data health becomes a managed, visible metric.
We wire a circuit breaker into your reporting so that if upstream data is stale or failed quality checks, dashboards show a clear warning or hold the last good data instead of silently displaying wrong numbers. Bad data never poses as truth.
We build a service that packages large datasets on demand or schedule and delivers them securely to partners or clients in their required format, with encryption, manifests, and delivery confirmation. Recurring data handoffs run themselves.
We write your entire data setup — warehouse, data flows, permissions and connectors — as code, so environments can be rebuilt, reviewed and recovered after a disaster. Spinning up a new environment is a single command.
We instrument your data platform to attribute compute and storage costs to specific pipelines, teams, and datasets, so you know exactly what each workload costs. Waste becomes visible and chargeback becomes possible.
We build a self-service portal where your clients or partners upload their data in any common format, which is validated, mapped, and ingested into your systems automatically with clear error feedback. Client data onboarding stops being a support burden.
Employees photograph receipts and the system reads them, picks out merchant, amount, tax and date, sorts each expense against your accounts and policy, and files them into the expense system. Out-of-policy or duplicate receipts are flagged for a reviewer before reimbursement.
Ingests monthly vendor statements and reconciles every listed invoice, credit, and payment against your AP ledger to surface missing invoices, short-paid items, and duplicate charges. Discrepancies are compiled into a dispute-ready worksheet and routed to AP staff.
Automatically matches purchase orders, goods-receipt notes, and supplier invoices at the line level, tolerancing quantity and price variances against configurable thresholds. Fully matched sets auto-approve for payment while variances route to procurement with the exact mismatched lines highlighted.
Captures inbound purchase orders arriving as PDFs, emails, or EDI and converts them into structured sales orders, validating SKUs, pricing, and availability before creating the order in your system. Unmatched SKUs or pricing conflicts are held for a sales-ops reviewer.
Scans your contract repository to extract renewal, notice-period, and expiry terms, then builds a proactive calendar that alerts owners ahead of every auto-renewal and termination window. Ambiguous or missing dates are routed for human confirmation.
Extracts the key economic and legal terms from commercial leases — base rent, escalations, CAM, options, co-tenancy, and critical dates — into a standardized abstract per property. Abstracts feed lease-accounting and portfolio systems with source-page citations for every field.
Parses bank and card statements from any institution into normalized transactions, categorizes them, and reconciles balances and flows. Output feeds your bookkeeping and reconciliation workflows with anomalies and gaps flagged for review (not used for credit or affordability decisions).
Cross-checks packing lists against commercial invoices and purchase orders line by line, verifying quantities, descriptions, and values across the trade document set. Mismatches that would stall customs or payment are flagged before shipment.
Pulls figures from accounting systems and source documents, populates report templates with variance analysis and narrative, and produces board-ready financial reports on schedule. Data-quality issues and unexplained variances are flagged before publishing.
Gathers KPIs, financials, and departmental updates from systems and submitted documents, formats them into the board-pack template, and produces a versioned, distribution-ready pack. Late or missing sections are chased automatically before the deadline.
Parses remittance advices from any format, matches payments to open invoices, applies deductions and short-pays with reason codes, and posts cash to the accounting ledger. Unmatched payments and unexplained deductions route to AR staff.
Sends your attorney-approved conditional and unconditional lien waiver forms, collects them, and checks completeness of the returned waivers from subcontractors and suppliers tied to each payment application, tracking coverage against amounts paid. Missing or defective waivers block payment release.
We train a churn model on your subscriber or customer history — usage, billing, support tickets, engagement — that scores every account's probability of leaving in the next 30/60/90 days. It surfaces the specific risk drivers per account so retention teams act on causes, not just scores.
We build a rolling 13-week and 12-month cash-flow forecast trained on your invoicing, payment behaviour, payroll, recurring costs and seasonality. Deployed against your accounting feed, it projects the daily cash balance with confidence bands and flags shortfall dates ahead.
We predict when each outstanding invoice will actually be paid, per customer, from historical payment behaviour, invoice size, terms and season. It converts your receivables ledger into a dated cash-inflow schedule.
We forecast the components of working capital — receivables, payables and inventory — and their net position over the coming quarters. It shows how growth, seasonality and terms changes will consume or release cash.
For businesses deciding how much to spend winning customers. We predict each customer's future value from their purchase history, so marketing can set budgets and focus on the most valuable groups.
We predict long-term customer value from only the first days or first order, so you can identify future high-value customers before they've spent much. It transfers patterns from mature cohorts onto brand-new customers.
We forecast fraud and chargeback loss rates by channel, product and cohort, and score transactions for fraud risk in real time. It gives finance a loss projection and operations a live risk queue tuned to your acceptable false-positive rate.
We forecast how each customer cohort's revenue and retention will evolve over its lifetime, projecting cohort curves forward from early data. Leadership sees the long-run value of recent acquisition cohorts before it fully plays out.
Balances sales territories by potential, workload, and travel while assigning fair, achievable quotas aligned to company targets. Rebalances as reps join, leave, or accounts move, keeping coverage equitable.
Forecasts inflows and outflows and recommends the timing of payments, collections, and short-term financing to avoid shortfalls at minimum cost. Optimizes payables/receivables and buffer levels against a liquidity policy.
Forecasts contact volume by interval and computes staffing that meets service-level targets at minimum cost, then routes contacts to the best-skilled agent. Combines Erlang staffing with skills-based routing.
For firms that cannot send documents to outside AI services. We install an open AI model on your own servers or private cloud, so staff use AI for drafting, summarising and questions while nothing leaves your network.
For businesses with lots of documents staff or customers search through. We build an AI that reads your documents and answers questions with citations to the exact source, tested against your own real questions.
We build a versioned evaluation suite that scores every model or prompt change against a golden dataset before it ships, catching regressions automatically. Results are tracked over time so you can see quality trending across releases.
We build an inline layer that detects and redacts names, emails, card numbers, health identifiers, and custom entities before text reaches any model or log. Redactions are reversible via a secure vault when authorized, so downstream systems still work.
We deploy a grounding verifier that checks each generated claim against its source passages and flags or blocks unsupported statements. It scores faithfulness in real time and can force a regeneration when the answer drifts.
We deploy monitoring that watches input distribution and output quality over time and alerts when the model starts drifting from its training baseline. It separates data drift from concept drift so you know whether to retrain or rethink.
We set up progressive model rollouts that send a small slice of traffic to a new version, watch quality and error metrics, and auto-promote or auto-rollback based on the numbers. Bad models never reach all your users.
We build and deploy a moderation classifier tuned to your policy that flags toxic, unsafe, or off-policy content in text or images at scale. It ships with a review queue and continuous retraining from moderator decisions.
We deploy an ASR pipeline with speaker diarization, timestamps, and domain vocabulary tuning that transcribes calls and meetings recorded with participants' notice accurately. It runs on your infrastructure so recordings never leave your control.
We build an adversarial test suite that automatically probes your AI for jailbreaks, data leakage, bias, and policy violations, and reruns on every release. Findings come with severity, reproductions, and remediation guidance.
We build a layer that constrains model output to a strict JSON schema or grammar so downstream code never chokes on malformed responses. Invalid outputs are constrained at generation time or repaired and revalidated.
For firms handling confidential documents who want AI help but cannot let anyone, even the server host, read the data. We set up an AI model inside a sealed, encrypted compute area and give you proof your data stayed inside it.
For businesses buried in emails, documents and notes that mention part numbers, product codes or other details staff copy out by hand. We train an AI to pick those details out automatically and drop them into a spreadsheet or system.
We ingest your standard-operating-procedure library, runbooks and wiki, then deploy a grounded assistant that answers staff questions with the exact step and a link back to the source clause. Every answer cites the SOP version it came from, so stale guidance is never repeated.
We consolidate every location's operations playbook, brand standards and regional variants into one governed assistant, so any franchisee gets the approved answer for their market. Region-specific rules are enforced through metadata so no one gets another market's policy.
We deploy controls on your outbound money movement — refunds, seller payouts, supplier payments — that score each payout against destination history, velocity and account-change events. Suspicious payouts are held for dual approval before funds leave.
We build a continuous ATO detector that models each user's normal device, geo, and behaviour, and scores login and post-login events for takeover signals like impossible travel, credential reuse and sudden setting changes. High-risk sessions trigger step-up auth or lockout in real time.
For online businesses whose login page gets flooded by bots trying leaked passwords. We deploy a detector that spots these waves, checks for known leaked passwords, and slows or challenges the attack until it stops.
We build a continuous authentication layer that watches for mid-session device, network and session-token drift indicating a hijacked session (no behavioural biometrics such as typing or mouse patterns). When continuity breaks, it forces re-authentication or terminates the session before sensitive actions complete.
We build a network anomaly-detection system that baselines normal traffic and flags intrusions, lateral movement and beaconing that signature tools miss. Alerts are enriched, prioritized and pushed to your SOC or SIEM with context.
We deploy a monitor on privileged and admin activity that baselines expected use of high-risk accounts and flags off-hours, off-pattern and escalation anomalies. High-risk actions can require just-in-time approval before they execute.
For businesses with an API or website whose data gets scraped or whose API gets abused. We build a detector that learns each client's normal use and slows, traps or cuts off abusive ones.
We build a detector that scores employee expense reports for fraud and policy abuse — duplicates, inflated amounts, mischaracterized personal spend and out-of-policy vendors — using receipt parsing and peer-pattern models. Flagged reports route to finance review with the specific exceptions.
We deploy a detector that finds procurement fraud — bid rigging, split purchases to dodge approval limits, and vendor-employee collusion — by analysing purchasing patterns and entity relationships. Suspicious activity is cased with the supporting purchase and relationship evidence.
We build a detector for fraudulent and business-email-compromise invoices that flags fake vendors, altered bank details, and duplicate or inflated invoices before payment. Suspicious invoices are held with the anomaly and any bank-detail-change evidence for AP verification.
We deploy an accounts-payable matcher that finds duplicate and erroneous payments across invoices, vendors and payment runs using fuzzy matching on amounts, references and dates. Matches are surfaced pre-payment for holds and post-payment for recovery.
We build a detector that finds fictitious and shell vendors by cross-checking vendor master data against registries, employee records, and address/bank overlaps, and by profiling unusual payment patterns. Suspect vendors are flagged for verification before further payment.
We build a click-fraud detection service that scores ad clicks for invalidity using IP/device reputation, click-timing, conversion-consistency and bot-behaviour signals. Invalid clicks are filtered in real time and compiled into refund-claim evidence for your ad networks.
We deploy a detector that finds revenue leakage — unbilled usage, pricing errors, missed renewals, and under-charged contracts — by reconciling entitlements, usage and billing data. Each leak is quantified and routed for recovery with the supporting records.
We deploy an automated anomaly-detection layer over your business metrics — revenue, signups, conversion, error rates — that learns seasonality and alerts on statistically significant deviations. Alerts include probable-cause segmentation so teams know where to look.
We deploy a detector on outbound wires and payments that flags diversion fraud — last-minute bank-detail changes, unusual beneficiaries and social-engineering patterns — before funds are sent. High-risk transfers require callback verification and dual approval.
We deploy a detector that flags odometer rollback and vehicle-history fraud by cross-checking mileage readings across service, inspection and listing records for impossible decreases and inconsistencies. Suspect vehicles are flagged with the conflicting records for verification.
We build a detector that flags location-spoofing risk — VPNs, proxies, TOR, residential-proxy networks, and GPS spoofing — to protect geo-restricted, licensing and fraud-sensitive flows. Each request gets a location-trust score with the spoofing signals for policy decisions.
We deploy a configurable velocity engine that tracks counts and sums across any entity — card, device, email, IP, address, account — over sliding windows and triggers rules when thresholds are breached. It gives your fraud team a self-serve way to author and test velocity rules without engineering.
For businesses with several fraud tools, rules and lists that do not talk to each other. We build one decision service that combines them all and returns approve, review or decline with reasons, and logs every decision.
We deploy a case-management workbench that aggregates alerts from all your detectors into a prioritized, deduplicated review queue with full entity context, linked history and one-click actions. Analyst dispositions feed back as labels to continuously improve your models.
We deploy a graph platform that continuously builds a network of your entities and transactions and runs link-analysis, community detection and graph features to expose hidden fraud relationships. It powers other detectors with graph signals and lets investigators explore connections visually.
Continuously pulls calls, chats, emails, reviews and survey text into one place, then extracts themes, complaints, feature requests and sentiment trends across every channel. Surfaces emerging issues on a live radar before they blow up.
Analyzes recorded sales calls for talk-to-listen ratio, discovery-question quality, objection handling, competitor mentions and next-step commitment, then gives each rep a private coaching scorecard on their own calls, while managers see only team-level patterns. Reps are never ranked against each other and scores are not used for employment decisions.
Listens to live support and sales calls where callers have been told the call is transcribed, and surfaces the right knowledge-base answer, next-best-action and script reminders you define to the agent in real time. Auto-fills the wrap-up notes and disposition when the call ends.
Transcribes and clusters inbound calls to discover the true reasons customers call, mapping them against your IVR menu and self-service options. Identifies which call reasons are deflectable and where the IVR misroutes.
Aggregates reviews, NPS/CSAT verbatims and app-store feedback, then classifies drivers, detractors and promoters and quantifies their impact on your score. Tracks driver movement over time and by location.
Analyzes call transcripts and chat text for escalation language, repeated unresolved issues and churn signals in near real time, alerting supervisors before a customer walks. Correlates escalation patterns with outcomes and issue types (no voice-based emotion inference, no per-agent scoring).
Silently coaches agents during live calls with real-time nudges on empathy, compliance, pacing and required steps, visible only to the agent. Gives each agent a private post-call recap; supervisors see only team-level coaching themes.
Links complaints across calls, emails, chats and reviews to the same underlying issue and quantifies root causes, affected products and cost of inaction. Feeds prioritized fixes to product and ops.
Detects repeat contacts about the same issue across calls and channels to measure true first-call-resolution, and diagnoses why customers call back. Pinpoints the topics and processes driving repeats (team-level, not used to rate individual staff).
Measures how closely reps and agents follow approved talk tracks and scripts across calls, scoring adherence, deviations and the impact of going off-script. Highlights which script sections get skipped.
Analyzes text-channel conversations — chat, email, messaging — for intents, resolution, sentiment, effort and compliance, complementing your voice analytics. Unifies text and voice insight in one dashboard.
Correlates automated post-call/IVR surveys with the actual call content and sentiment to explain why customers scored as they did, and to flag surveys that contradict the call. Feeds validated CX metrics to leadership.
A phone photo of the dashboard and VIN plate reads mileage and the vehicle identification number and cross-checks format and plausibility. It flags likely odometer rollback and feeds vehicle intake systems.
For software teams that need realistic test data but must not copy real customer records. We learn the shape of your database and generate fake data that behaves like the real thing, kept in step as your database changes.
For employers spending heavily on staff training. We link course completion data with later outcomes like promotion and retention and compare similar staff who did and didn't take a course, so you see which programmes are worth funding.
For software and online businesses that grow by upgrading existing customers. The AI reads product usage and billing history and predicts which accounts are ready for more seats or a higher plan this month, then puts a ranked list in your CRM with the reason for each.
For B2B companies with signals spread across CRM, website visits and third-party intent feeds. The AI combines them into one buying-interest score per account, updated continuously, so sales knows who to contact first.
For businesses spending on ads in many regions. We design fair tests where ads run in some regions and pause in matched ones, then measure the extra sales the ads truly caused, so you know which spend to keep.
For marketing and growth teams asked every Monday why revenue, cost per customer or conversion moved. The engine breaks each change down into its real causes, like channel mix, prices, traffic sources or device types, and writes the answer in plain English.
For security teams buried in alerts. The AI learns from how your analysts closed past tickets and labels each new alert as likely real, likely noise or known harmless before it reaches the queue.
For businesses unsure whether their security tools would catch an attack. We run safe simulated attacks on a schedule, check which defences fired and send every gap to your team as a ticket.
For software teams who need to know exactly what goes into every release. We add automatic ingredient lists, build records and signing to your build process, and block releases that break your own rules.
For teams whose live cloud settings drift from what their code says. We compare the two continuously, rank each difference by real risk and open a ready-made fix in your code.
For teams running apps on Kubernetes. We learn how each workload normally behaves and alert when one starts doing something unusual, like opening a shell or calling a strange address.
For businesses where staff connect outside apps to company email and files. We list every connected app, score its risk and revoke or route risky ones for approval.
For software teams drowning in scanner findings. We check whether each reported vulnerability can actually be reached in your running code and push the real ones to the top.
For software teams whose tests pass but still miss bugs. We find the code paths your tests don't really protect, write new tests for exactly those, and add a check that stops weaker test coverage from being merged.
For online businesses where each outage starts with a hunt for what changed. When an incident starts, the AI checks recent deploys, setting changes and library updates against your monitoring data and ranks the likely causes for the on-call engineer.
For software and gaming teams whose app gets slower one commit at a time. The system compares every new commit's speed tests with your history, flags genuine slowdowns and ignores normal noise.
For software teams with growing build bills and developers waiting on slow pipelines. We profile where build minutes and runner money go, then keep tuning runner sizes, parallel jobs and caching to save time and spend.
For businesses with customers writing in many languages. The AI answers common questions inside your helpdesk in the customer's own language, using your documents and past answers, and hands over to a person when unsure.
For businesses running ads that keep going stale. The AI writes new ad versions in your brand style, launches them under your budget limits, keeps the ones that bring sales and drops the rest.
For software teams stuck on an old framework or language version. An AI agent upgrades your code piece by piece, runs your tests after every change and only keeps what passes, in small changes your team can review.
Lots of suppliers, customers and government sites have no way to connect except logging in. We automate those log-ins to download and upload what you need on a schedule and copy it into your systems.
For bookkeeping firms: each night we check every client's books for problems — broken bank feeds, unreconciled accounts, duplicates — and give your team a ranked to-do list.
If your business runs on an old desktop database only one person understands, we move it to a web app. Same forms and reports, but in a browser, for several people at once, and backed up.