Fifteen questions, no score: where does declaration need evidence?

This check is not a readiness score. It is a short executive conversation starter. If any answer rests only on internal declaration, independent validation may be useful.

No evidence gap is marked yet.

Mark it when a positive answer cannot be shown with current evidence.

Does your organization have a current inventory of all AI systems?

Can you see centrally which models access which data?

Are agents limited in the actions they can perform?

Are prompt-injection tests performed regularly?

Do RAG permissions match source-system permissions?

Is there a verified fallback scenario if a model provider becomes unavailable?

Is total AI system cost measured by use case?

Are thresholds and stop mechanisms defined for production quality?

Are model, prompt, data, and policy changes tested before release?

Can the answers to these questions be shown with live evidence today?

Do agents use separated service accounts?

Are human-approval classes defined for production actions?

Are all external models and AI tools used in the organization in the inventory?

Have incident-response scenarios for critical AI systems been tested?

Does the board regularly receive an AI architecture risk view?

LIVE RESULT · UPDATED FROM YOUR MARKS

Mark evidence gaps to reveal the pattern

The summary will group your selections by architecture theme. It will not calculate a score or readiness level.

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This summary is not a score, maturity level, assurance opinion, or compliance conclusion. It only explains the discussion pattern created by the questions you marked. Selections stay on this page and are not transmitted.

EnaGuard

EnaGuard turns enterprise AI architecture claims into board-defensible evidence through independent, evidence-based assessment.

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