# AI production delivery

> Make the capability reliable, secure and useful inside the real workflow. Solution design, integration, evaluation, controls and service transition, delivered with named owners and measurement in place.

Source: https://level9.net/ai-consulting/production-delivery
Publisher: Level9 Networks (https://level9.net)
Updated: 2026-11-03

**Who it is for.** CIOs, CTOs and heads of operations who have a proven opportunity and need it to run as a service their teams can depend on.

**The problem.** The gap between a successful proof and a dependable service is where most AI programmes stall. Integration, data access, evaluation, security review and support arrangements are left until last and then block launch.

**Target outcome.** An operated capability in the real workflow, with controls, support and measurement, used by the people it was built for.

## Measures

- The business measure from the proof, tracked in production
- Availability and response time of the capability
- Evaluation results on a maintained test set
- Incidents, escalations and time to resolve

## Inputs

- The proof-of-value evidence and decision
- Access to the systems the capability must integrate with
- Security, data protection and architecture stakeholders with time to review
- A service owner and a support route

## Outputs

- Solution and integration design, including the system boundary
- Model and platform selection with the reasons recorded
- Evaluation suite, observability and human controls
- Deployment, service transition and runbooks

## Risks

- Integration with a legacy system takes longer than the AI work itself
- Security review raises a data residency or retention requirement late
- The team that will run the service is not identified until launch

## When this engagement fits

You have evidence that the capability is worth having. You now need it to work every day, inside the systems people already use, with the controls your organisation expects.

## What we do

We design the system boundary: what data goes in, what comes out, what is logged, who can see it and where the human decision sits. We select the model and platform, integrate with the systems that matter, and build an evaluation suite that runs continuously rather than once.

Security, privacy and architecture review happen alongside the build. We write the runbook, agree the support route and transition the service to its owner.

## What you receive

An operated capability with named owners, controls, support arrangements and measurement in place. The business measure from the proof is tracked from day one in production.

## What happens next

A capability that works is not yet a capability that is used. [Adoption and value realisation](/ai-consulting/adoption-and-value-realisation) changes the work around it and reports what was actually achieved.

## Questions people ask

**Which models and platforms do you use?**

Whichever fits the problem, the data constraints and the budget. The choice is made during design, recorded with its reasons, and reviewed when the evidence changes.

**Can you work with our existing cloud and security teams?**

Yes, and we expect to. Their review is part of the plan from the first week, not a gate at the end.

**Who supports the capability after launch?**

That is agreed in design. Either your team with our knowledge transfer, or a support arrangement with us. Either way the service has a named owner before it goes live.

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Level9 Networks is an authorised UK partner of Radiator Software Oy. Radiator is a trademark of Radiator Software Oy. Level9 Networks Limited, United Kingdom.