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AI

AI agent development company for work that needs judgement

Agents that read your documents, answer from your own data and take actions in your systems, with a person checking the steps that matter.

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  • Price agreed upfrontWritten scope, one price, milestone payments.
  • You own everythingCode, accounts and content stay in your name.
  • Every call is freeNo charge, no pressure. We reply within 12 hours.
  • Senior people onlyThe ones you meet are the ones who build.

Overview

Custom AI agents, in plain words

An AI agent is software that reads, decides and acts, within limits you set. As an AI agent development company, we build agents that read documents, answer questions from your data, and take actions such as updating a record or drafting a reply. Where a mistake is costly, a person approves it first.

Agents suit jobs with a pattern but varying details, such as reading an invoice. For fixed steps, a plain automation is cheaper and safer.

We build on models such as Claude and OpenAI, using your accounts and keys, and we test on your real examples.

Who it is for

  • Finance and operations teams processing invoices, forms and contracts
  • Support teams who need answers drawn from internal documents
  • SaaS companies adding an AI feature without an ML team
  • Consultancies that want faster research and drafting

What you get

  • A working agent connected to your documents and tools
  • A test set built from your real examples, with measured accuracy
  • Review steps and logs for every action it takes
  • Usage and cost visible in your own model accounts

See it come together

A message becomes a booking

An assistant answers, then hands the job to your workflow.

An illustration of how the work comes together. Not a real client or result.

Signs you need it

Problems this work fixes

If one of these sounds familiar, you are in the right place.

  1. Documents pile up unreadInvoices and emails need a person to read and key them in. An agent can extract the fields and flag the odd ones.
  2. Answers are buried in your filesStaff search folders for a policy or a past quote. An assistant over your data finds it and shows the source.
  3. AI that acts without checksAn agent with free access to your systems is a risk. We limit what it can touch and add approval steps.
  4. No way to measure qualityA demo looks good on three examples. We test on many of yours and report where it fails.

What is included

What we do, part by part

  • 01

    Use case scoping

    We agree one job, one success measure and what the agent may and may not do.

  • 02

    Document processing

    Invoices, forms, contracts and emails turned into structured data, with unclear items flagged for review.

  • 03

    Answers from your data

    A knowledge assistant over your documents, with sources shown so staff can check them.

  • 04

    Actions in your systems

    The agent updates a CRM, drafts replies or files records, limited to permissions you give.

  • 05

    Review steps and guardrails

    A person approves costly actions. Everything is logged, with fallback to a human.

  • 06

    Evaluation and cost control

    We test on your examples, report accuracy and show model usage so costs stay visible.

Want to know if this fits?

Tell us the goal in two lines. We reply within 12 hours with an honest answer and a budget range.

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How it works

How the work runs

  1. Pick one job

    We choose a narrow task with clear examples and agree how success will be measured.

  2. Collect real examples

    You give us past documents, tickets or emails. We build the test set from them.

  3. Build and measure

    We build the agent, run the test set and show you where it gets things wrong.

  4. Add review and release

    We set the approval steps, launch to a small group and widen once results hold.

Straight answer: Agents make mistakes. We will not promise perfect accuracy, and we will not remove human review where errors are costly. We measure accuracy on your examples and say so if it is not good enough.

Pricing

What ai automation & workflows costs

Custom AI agents is quoted inside the ai automation & workflows plans below. We agree the price on a call, and once agreed it does not change.

  • Starter

    from $2,500from AED 5,000from ₹30,000

    • One automation in your existing tools (for example lead follow-up, form to CRM, WhatsApp auto-reply)
    • Handover
    • 30 days of fixes
  • Best fit for growing businesses

    Growth

    $5,000–$12,000AED 12,000–30,000₹75,000–₹2,00,000

    • An AI assistant on your website or WhatsApp, trained on your content
    • 2 to 4 connected workflows
    • Monitoring
  • Premium

    $12,000–$35,000+AED 30,000–80,000+₹2,00,000–₹6,00,000+

    • Custom AI agents with integrations
    • Document processing
    • Dashboards
    • Guardrails and monitoring

Three plans, from one automation to custom AI agents with integrations. Monthly operations retainers available. Prices are a starting point, not a wall. See all plans

Quick answers

About cost and timing

The things people ask right after they see a price.

We agree a fixed build price after scoping the job and the systems involved. Model usage is billed directly to your accounts, and we estimate it up front, in writing. Flexible on scope. Firm on price. Ask for a written estimate on the first call.

Our AI work runs about 2 to 8 weeks per workflow. A narrow agent on clean documents is faster. One that talks to several systems takes longer. You get a dated plan after we scope it, and we show working versions as we go.

Yes, for pulling out fields and flagging odd items. We do not treat it as a legal opinion. A person should check contract terms and anything where an error costs money. Anything unclear is flagged for a person to check, instead of being guessed.

How we contract

Clear terms, before you spend anything

The commercial side in plain words. The full wording is in our terms, and your proposal sets the details.

  1. A written proposal comes firstScope, deliverables, milestones, price and timeline, in writing. Work starts when you accept it.
  2. The price does not moveOnce agreed, the number in the proposal is the number on the invoice. Changes to scope are quoted as a written change request and only built once you approve them.
  3. You pay by milestoneProjects are paid in milestones set in your proposal. No project is billed in full upfront. Invoices are payable within 14 days unless your agreement says otherwise.
  4. You own the workCode, designs and accounts are registered to your company from day one. We keep our own pre-existing tools and methods.
  5. No lock-inEither side can end a project with written notice, and you pay for the work done up to then. Retainers run month to month with 30 days written notice.
  6. 30 days of fixes after launchDefects in what we delivered are fixed for 30 days after launch. New features and third-party changes are quoted separately.

Custom AI agents FAQ

Questions about custom ai agents

The things people ask before they book. If yours is missing, ask us on a call or on WhatsApp.

Still have a question?

Thirty minutes with us usually answers everything, including whether we are the right fit.

We cannot say before testing. We build a test set from your real documents, measure accuracy, and show you where it fails. You decide whether that level is good enough, with review steps if not. If it falls short, we say so.

Into accounts you own. We pick a model provider that fits your data rules, or a model hosted in your own cloud. We explain what leaves your systems before we build anything. You can see in the logs what was sent, to which service, and when.

When the steps are fixed and predictable, use a plain automation. When one wrong answer is very costly and nobody can review it, wait. Agents are best for patterned work with a person in the loop. A narrow, well-checked agent beats an ambitious one you cannot trust.

A chatbot mainly answers questions. An agent can also take steps, such as updating a record or filing a document. That extra power is why it needs limits, logs and approval steps. The difference is simple to see in the logs, since every action is written down.

Ready to talk about custom ai agents?

Thirty minutes is enough to tell you the approach, the budget range and the timeline.

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