AI automation and apps, working in 21 days and kept running.

For US service businesses and startups. Senior-led, built in production code, and you own every account and line of code.

Book a free 30-minute call

Working in 21 days from access, or your build fee back. Half paid only when it works. Full terms

  1. 0130 minutesFree callNo pitch if it isn't worth it.
  2. 025 daysOps MapYour tools, the hours lost, and a fixed price.
  3. 0321 days from access21-Day BuildRuns next to the old way until it works.
  4. 04MonthlyOps CareWatched, fixed and re-checked for you.
  5. From day oneYou own everythingNothing is locked inside our accounts.

Two kinds of work

Which one sounds like you?

For service businesses

Your tools don't talk to each other.

So your team copy-pastes. In 5 days we find 20+ hours a week of it, signed off by your team, or your money back. Then we build the fix in 21 days and keep it running.

US service businesses with 20 to 100 staff, running on five or more paid tools.

How AI automation works

For startups

Your AI feature, built in production code and working in 21 days.

Fixed price after a short scoping call. Working in 21 days from access, or your build fee back. Then we keep it running.

Funded or revenue-making startups and tech companies that need AI shipped.

How we build AI apps

Businesses

AI automation we buildfor service businesses.

Each one starts in tools a service business already pays for and adds only what's missing.

  1. Enquiry-to-CRM automation

    Website formGmailHubSpotSlack
    1. 1Enquiry arrivesFrom the website form or straight into the shared inbox.
    2. 2AI reads itPulls out the company, contact, service asked about and how soon they need it.
    3. 3CRM updatedMatches an existing contact or creates one, and logs the enquiry against it.
    4. 4Owner assignedRouted by service and region, with a Slack message to that person.
    5. 5Reply draftedA first reply waits in Gmail for the owner to edit and send.

    AI automation · Sales inbox

    4Tools connected

    Every enquiry filed, assigned and answered in draft.

    AI reads each enquiry from the form or the shared inbox, files it in the CRM, routes it to the right person and drafts a first reply for them to send.

    How the enquiry-to-CRM automation works

  2. Payment matching automation

    Bank feedQuickBooksClickUpGmail
    1. 1Payment landsPicked up from the bank feed as soon as it clears.
    2. 2Matched to invoicesCompared with open invoices by amount, reference and client name.
    3. 3Clear matches closedMarked paid in QuickBooks, and the ClickUp project shows the client is up to date.
    4. 4Unclear ones queuedPart-payments and odd references go to a review list with the AI's best guess and why.
    5. 5Reminders draftedOverdue invoices get a polite reminder drafted for the accounts team.

    AI automation · Finance

    4Tools connected

    Payments matched to invoices, with only the odd ones left for a person.

    Bank payments are matched to open invoices as they clear. Clear matches close themselves, and the odd ones go to a short review list with the AI's best guess.

    How the payment matching automation works

  3. Client onboarding automation

    HubSpotAsanaGoogle DriveQuickBooksSlack
    1. 1Deal marked wonThe trigger is the stage change sales already makes in HubSpot.
    2. 2Project set upAn Asana project from the right template, with the team and dates filled in.
    3. 3Files and accessA client folder in Google Drive, shared with the right people only.
    4. 4Billing readyThe customer and first invoice created in QuickBooks as a draft.
    5. 5Team toldA Slack channel opened with the deal notes, so nobody asks sales again.

    AI automation · Operations

    5Tools set up

    One deal marked won, and five tools are ready for the client.

    When a deal is marked won, the project, the shared folder, the first invoice and the team channel are all set up from the deal record, with nothing retyped.

    How the client onboarding automation works

All service-business case studies

Startups

AI features we buildfor startups.

Each one is built in production code, with the parts that keep it working once real users arrive.

  1. Support answer assistant

    Next.jsPostgrespgvectorClaude APIIntercom
    1. 1Ticket arrivesFrom Intercom or the in-app help form.
    2. 2Sorted by topicThe model tags topic and urgency, and urgent ones jump the queue.
    3. 3Docs searchedOnly your help articles and past answers are searched for the facts.
    4. 4Reply draftedA draft that links the sources it used, or says it doesn't know.
    5. 5Agent sends itEdits are saved and become test cases for the next release.

    AI app · Customer support

    100%Answers sourced

    Support answers from your own docs, or an honest "I don't know".

    Tickets are sorted by topic and urgency, answered from your own help articles with the sources linked, and sent by a support agent who can edit the draft.

    How the support answer assistant works

  2. Document extraction feature

    ReactNode.jsS3GeminiZod
    1. 1File uploadedPDFs, scans or photos, stored privately against the user's account.
    2. 2Fields readThe model pulls out dates, names, totals and terms into a fixed format.
    3. 3Checked in codeEvery field is validated, so a wrong date or total can't get through.
    4. 4Unsure fields flaggedAnything the model isn't sure of is highlighted for the user to confirm.
    5. 5Saved to the appClean records the rest of the product can search and report on.

    AI app · Document processing

    EveryField validated

    Upload a contract, get clean data back.

    Users upload PDFs, scans or photos. The AI pulls out the dates, names, totals and terms into a fixed format, and anything it isn't sure of is highlighted for the user to confirm.

    How the document extraction feature works

  3. In-app data assistant

    Next.jsPostgresOpenAI APIRedisPostHog
    1. 1User asksA plain-English question inside the product.
    2. 2Permissions checkedOnly records that user is allowed to see are ever searched.
    3. 3Answer builtThe reply links to the records it came from, so users can check it.
    4. 4Costs cappedPer-user limits and caching keep the AI bill predictable.
    5. 5Usage trackedWhich answers helped and which didn't, to guide the next change.

    AI app · In-product assistant

    EverySearch permission-checked

    Answers from each user's own data, and nobody else's.

    Users ask questions in plain English inside the product. Answers come only from records they're allowed to see, with links back to each one and a cap on AI costs.

    How the in-app data assistant works

All startup case studies

How we work

How we work, for both.

We use what you already have

Most teams already pay for tools that can do more than they're used for. We use that first, so you don't pay for what you already have.

We build only what's missing

Where something genuinely doesn't exist, we build it in production code, not a tangle of no-code steps nobody can maintain.

We stay after launch

We watch it, fix it and keep it working. The people who built it are the people who answer when it needs attention.

Senior-led, on US hours

Senior people scope and lead every build, and we work US hours, so questions get answered the same day.

See every step and the promise attached to it

Before you hire anyone

What buyers worry about, and what we do about it.

Book a free 30-minute call

What we do about it

Hiring someone unproven

We show you a working demo, and half the build is paid only when it works.

Cost or scope running away

You get a fixed price before anything is built.

Security

Your accounts, your keys, a signed NDA, and our access removed when the work ends.

Getting locked in

You own every account and every line of code from day one.

AI getting it wrong

A person checks it until it's accurate.

Breaking what already works

The new system runs next to the old one until it works.

Included

What every client gets.

  • You own everything

    Every account, key and line of code is yours from day one. Nothing is locked inside our accounts.

  • A person checks the AI

    Anything the AI does for your customers or your money is checked by a person until it's accurate.

  • Signed NDA from day one

    We sign an NDA before we see anything, and basic security is in place from the first day of work.

The team

Who you'll work with.

Senior people scope, build and look after every project. The people you meet on the first call are the people who answer when something needs fixing.

Muhammad Furqan Abid, Founder at Invitrex

Muhammad Furqan Abid

Founder

Leads engineering on every build: the scope, the architecture, and how the AI parts behave once real people use them. Six years building software.

Muhammad Zaid Ashfaq, Managing Director at Invitrex

Muhammad Zaid Ashfaq

Managing Director

Runs delivery and care. He keeps each build on its 21 days, and he's the person you talk to when something needs a decision, during the build and after it.

How we handle your accounts and data

FAQ

Questions, answered plainly.

See every question

It depends on the job, so we don't quote a number before we've seen it. For businesses, the Ops Map ends in a fixed price for the build. For startups, the scoping session does. Either way you know the price before any build starts.

The 21 days start on the day we have the access we agreed we need: logins, API keys, repositories and so on. If what we agreed isn't working 21 days after we get access, you get the build fee back. The full conditions are on our guarantee page.

The build fee is split in two. The second half is only paid once the build does what we agreed it would do.

You do, from day one. We build in accounts you own, the code lives in your repository, and the keys are yours. If we stop working together, nothing has to be moved or bought back.

Anything the AI does for your customers or your money is checked by a person until it's accurate. You see what it gets right and wrong before anyone relies on it.

No. The new system runs next to the old way of working until it works. Your team only switches over once it's doing the job.

We keep it running. After launch we watch it, fix it and keep it working as your tools, your users and the AI change. For service businesses, Ops Care adds a reply within 4 business hours and a fix within 1 business day, or that month is half price.

No. It's about the hours your team spends copying data between tools, chasing updates and retyping. That time goes back to the work you hired them for.

Working in 21 days from access, or your build fee back. Half paid only when it works. Full terms

Book a free 30-minute call