Use-case and business-value definition
Documented with the assumptions, evidence and decisions needed to support the next step.
Productized starting point
AI Production Readiness Assessment
Move from experiment to a governed production decision by testing the use case, data, architecture, evaluation and operating model together.
Why start here
Make the next technology decision with evidence.
The assessment is intentionally bounded. It is designed to surface the current state, the real constraints and the most defensible next step before a larger implementation or capacity commitment.
Use-case and business-value definitionIncluded as part of the assessment evidence where relevant to scope.
Data readiness and access assessmentIncluded as part of the assessment evidence where relevant to scope.
Architecture and integration mapIncluded as part of the assessment evidence where relevant to scope.
Evaluation and quality criteriaIncluded as part of the assessment evidence where relevant to scope.
Best fit when
The decision is active, but the path is not yet clear.
- An AI pilot works in demos but is not production-ready
- RAG or agent workflows need governed enterprise data
- Leadership needs to choose which AI use cases deserve investment
- Evaluation, security or operational ownership is unclear
- The organization needs a production path before expanding licenses or engineering spend
Assessment outputs
Concrete evidence, not an open-ended consulting exercise.
Final artifacts are adjusted to the environment and requirement, but the engagement is designed to leave the buyer with a usable decision package.
Data readiness and access assessment
Documented with the assumptions, evidence and decisions needed to support the next step.
Architecture and integration map
Documented with the assumptions, evidence and decisions needed to support the next step.
Evaluation and quality criteria
Documented with the assumptions, evidence and decisions needed to support the next step.
Security and governance controls
Documented with the assumptions, evidence and decisions needed to support the next step.
Production roadmap, ownership and economics
Documented with the assumptions, evidence and decisions needed to support the next step.
How it runs
A short path from context to decision.
1. Context & evidenceStakeholder discussion, existing documentation and targeted technical discovery.
2. Current-state analysisMap the environment, constraints, risks, dependencies and business trigger.
3. Options & trade-offsCompare viable paths rather than forcing one predetermined implementation.
4. Decision packagePrioritized roadmap, assumptions and recommended delivery route.
Commercial principle
Scope first. Then price the right delivery shape.
We confirm the assessment scope before work starts. If implementation follows, it is separately scoped so the assessment remains useful even if the buyer chooses another delivery route.
Discuss the starting pointStart with the decision
AI Production Readiness Assessment
Share what is changing, what is constrained and what decision needs to be made next.