Pilot-to-Production

We take a proven use case from pilot to a service that runs in production, then hand it over to your team.

Typical duration: 2–6 months

Pilot-to-Production

Transform Typical duration: 2–6 months

We take a proven use case from pilot to a service that runs in production, then hand it over to your team.

Who it is for

Teams with a successful pilot, or a clear use case ready to build.

What you get

  • A production-ready build, or a configured partner platform
  • Integration with your systems
  • Testing and security checks
  • A run-book and training for your team
  • A clean handover

How it works

1. Scope2. Build or configure3. Test and harden4. Hand over
Pilot-to-Production
PilotTestHardenLive Illustrative example, not client data.

Frequently asked questions

What is a pilot-to-production engagement?

It is a structured path from a working prototype — already tested with real users — through security review, integration, performance hardening, and operational handover, ending with a system your team runs in production.

How quickly can a pilot reach production?

For a well-scoped pilot, the production phase typically takes six to ten weeks from kick-off to go-live, depending on integration complexity and internal approval cycles.

What if our pilot was built by a different vendor?

We assess third-party pilots on the same basis as our own builds. If the foundation is sound, we take it forward. If not, we document exactly what needs to change and why before any further investment.

Who owns the system after go-live?

Your team does. Capability transfer — documentation, training and a defined internal owner — is part of every production engagement.

Why do so many AI pilots fail to reach production?

The most common causes are undefined production requirements at the pilot stage, missing data governance, and no internal owner. We address all three before the build starts.

What Usually Comes Next

Need a platform for this? See Partners. Need people to deliver it? See AI Specialists.

Tell us what you want to achieve with AI.

Start with an AI Readiness Assessment: a scored list of use cases and a clear roadmap.