Carry it · Workflow Automation and AI

Agentic AI Engineering

We build custom agents that fit the way your business works. Our agentic AI engines carry multi step work from start to finish, read invoices, contracts and delivery notes, and search across your records, all inside value limits and approval gates you set. The model reads and interprets, code does the arithmetic, and a person approves anything above your limits.

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Autonomy grows with measured accuracyTaskMatch invoiceAgentic AIengineCode checksthe numbersWithin limits:done and loggedAbove limit:person approvesLimits written in codeValue under your thresholdNever edits bank details
How an agent works inside your limits
Engagement
Fixed price per slice
Typical first agent
4 to 8 weeks
Guardrails
Value gates and handoffs
Deployment
Hosted or fully private

When you need it

You will recognise this.

  • Skilled people spend their day matching, classifying and chasing.
  • Invoices, contracts and delivery notes are still read and keyed in by hand.
  • The answer is somewhere in your documents, but finding it takes an afternoon.
  • You want AI doing real work on your data, without sending it to a public AI service.

What we do

The work, step by step.

  1. 01

    Pick the task and the measure

    A task with a definition of done that a person can check, and the accuracy it must reach, agreed before the build.

  2. 02

    Set the limits

    Value thresholds, approval gates and the things the agent may never do, written into code rather than prompts.

  3. 03

    Build and evaluate

    Our agentic AI engines are tuned on your past cases with the simplest approach that works, then tested against a held back set of known answers before they touch live work.

  4. 04

    Run supervised

    At first the agent proposes and a person decides, so accuracy is measured on real work. Low confidence cases always go to a person.

  5. 05

    Deploy and expand

    The agent runs in your cloud account or on your servers, and gains autonomy only as measured accuracy supports it.

What you receive

Yours to keep, whatever comes next.

A working agent

Built for your business and running on your live work, inside the limits you set.

Evaluation set and scores

Your own cases, with the accuracy the agent reached on them, including where it fails.

Guardrail policy

What the agent may do alone, what needs approval, and what it must never do.

Action log and review queue

Every step recorded, and a queue where people approve or correct.

How it is priced

Fixed price per slice, with evaluation built into the scope. The accuracy measure is agreed before the build, and if the task cannot reach it on your cases, we tell you before you pay for a full build.

Common questions
What we need from you

A few hundred past cases with known outcomes, the person who does the task today, someone to own the approval step, and a decision on where the agent is allowed to run.

How we handle your data

Questions

About this service.

Often paired with

What stops an agent from making an expensive mistake?

Value gates and approval steps that live in code, not in the prompt. Above a limit you set, a person has to approve.

Can it run without our data leaving our environment?

Yes. Our agentic AI engines can run on open models inside your own cloud account or on your own servers. Your data is used for your task only, and never to train models outside the engagement.

Which models do you use?

Whichever passes the evaluation for your task at a sensible cost. That can be a hosted model under a data agreement or a private model in your own environment.

Agentic AI Engineering · First conversation free

Give the repetitive judgment calls to an agent you can audit.

Tell us what you are seeing. The first conversation costs nothing, and you will get a straight answer on whether this is the right place to start.

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