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Build · AI production sprint

One AI system in production in four to six weeks

One AI system in production in four to six weeks, in your own environment, with the tests and operating guide to keep it healthy.

Who it is for
A company that needs one AI feature in production.
Length
Four to six weeks

What's included

  • Real test examples it has to pass

    A golden evaluation set built from real cases. You own it.

  • A check that blocks failing changes

    An automatic gate (CI gate): a change that fails the checks does not ship.

  • Monitoring of quality and latency

    Monitoring of quality and response time.

  • An operating guide (runbook)

    How to operate the system, written for the people who will run it.

  • A written yes or no on scaling

    Decided in writing before you scale the system up.

Three variants

  • Internal search and answers

    Find answers and sources in your own documents.

  • Customer or support agent

    An agent for customer and support work, built for your workflow.

  • Operations agent

    A tool-calling agent for operations work in your systems.

How it works

  1. Name the workflow

    Choose one of the three variants and agree what good looks like.

  2. Build it in your environment

    It runs on AWS, Azure, GCP, GleSYS or on-premise, with audit logs.

  3. Ship the automatic checks with it

    Real test examples and an automatic gate (CI gate), delivered with the system.

  4. A written yes or no

    A written yes or no on scaling, and an operating guide (runbook) to run it.

What you keep

One AI system live in production. You own the code, the prompts and the data. The next step is managed AI operations.

Book a call

Questions

Where does it run?
In your environment: AWS, Azure, GCP, GleSYS or on-premise, with audit logs.
Do you train on our data?
No. We do not train on customer data without written consent.
What do we own?
You own the code, the prompts and the data.
How is the commitment set?
You get a written scope after the call. No hourly work without a written cap.
Will we be locked into one model?
We start with a ready-made AI service. A private model is built only if the measurement shows it is needed. You own the code, the prompts and the data.
Does it work with our business system?
A connection to the business system is included when it is in the scope. The trial sprint only reads a file or a read-only share.

Next step

Bring one process.

30 minutes. An honest answer on whether AI fits.

Other offers

All offers