Services / Production Readiness Diagnostic
Enterprise AI Production Readiness DiagnosticCan this AI use case actually reach production?
A technically impressive prototype can still fail in production. This diagnostic looks at what usually decides the outcome — ownership, data, governance, integration, and how the capability will be run, adopted, and measured.
29 questions · about 10 minutes · written for business and technology leaders, no specialist knowledge needed. Your findings are never gated behind a form.
AI readiness is not the same as cloud maturity. Infrastructure matters, but it is only one part of what gets a use case into production.
Answer for one specific use case. You will get a read on where it is strong, what is most likely to stop it, and the next step that would move it forward.
Production AI requires
- A real business problem
- Accountable ownership
- Trusted, accessible data
- Governance that enables delivery
- Enterprise integration
- Production controls
- Adoption by the people doing the work
- Value measured against a baseline
Assessed across five dimensions: business, data, governance, technology, production.
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The use case
Which AI capability are we assessing?
Three quick questions anchor the diagnostic to one real use case, so the findings describe that use case — not your organization in general.
Used only to label your findings.
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