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Services · From pilot to production

Let's take your AI pilot into production.

Plenty of AI pilots work in the demo and then stall before production. We work as your partner to turn the pilot into a reliable, measurable and maintainable part of your business.

Typical delivery
  • Production-readiness review
  • Quality criteria and evals
  • Security and guardrail testing
  • Monitoring and maintenance

From demo to dependable service.

In a pilot it's enough that the answer is usually right. In production you need to know how often it's right, why it isn't always, and what that costs.

Production-readiness assessment

We review the pilot end to end: architecture, data, quality, security and cost. You get a clear list of what it takes to go to production.

Quality criteria and evals

We define what a good answer means and build the tests that verify quality before every release.

Security and guardrails

We test for prompt injection, data leakage and misuse before the solution is opened up to real users.

Integrations and scalability

We connect the pilot to your real systems and size it for your actual users and load.

Production monitoring

Tracing, dashboards and alerts, so you can see how the solution performs with real users and what it costs.

Maintenance and further development

We agree on ownership and a maintenance model. Your team can develop the solution on its own or together with us.

Method

How we work.

A phased delivery where every phase has a clear outcome.

  1. Step 1

    Assessment

    We review where the pilot stands and what it needs for production, and prioritise the work together.

  2. Step 2

    Quality assurance

    We build the evals and guardrail tests and measure quality before release.

  3. Step 3

    Go-live

    With integrations, security and monitoring in place, the solution goes live in a controlled release.

  4. Step 4

    Continuous improvement

    Monitoring and evals keep running in production, and the solution improves based on data.

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