AI Adoption Maturity

12 questions across six dimensions. Illustrative self-assessment, not a compliance or certification judgement.

Governance1. Is there an agreed policy for how AI may be used in operations?
Governance2. Is every AI use case owned by a named, accountable person?
Data / knowledge3. Are runbooks and known errors current enough for AI to rely on?
Data / knowledge4. Is data classified so teams know what must never go into AI conversations?
Use cases5. Are AI use cases prioritised by value and risk?
Use cases6. Have any AI use cases moved from pilot into everyday use?
Measurement7. Do you measure AI output quality against a test set?
Measurement8. Do you track hours recovered or MTTR change from AI?
Skills9. Have support engineers been trained in talking to AI effectively?
Skills10. Do reviewers know how to spot and correct AI errors?
Tooling11. Are approved AI tools available inside existing workflows?
Tooling12. Are AI calls logged, rate-limited and cost-monitored?