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The AI Proof Gap Diagnostic

How much unverified AI work passed through your org last month?

Twelve questions. Get your Proof Gap Score, a dollar exposure estimate, and a breakdown across the four proof categories.

Payment Proof

Are AI-initiated or AI-recommended payments verified against duplicates and bank-detail changes before release?

Is every vendor bank-detail change independently confirmed out-of-band?

Can you produce, per payment, the evidence that controls were applied?

Decision Audit

Does each consequential AI decision capture a named human approver and timestamp?

Can you reconstruct the inputs an AI saw for a decision made months ago?

Are decision records tamper-evident (sealed / hash-chained)?

Output Verification

Are high-impact AI outputs checked against an objective standard before they’re trusted?

For AI-written code/work, do you verify tests actually ran and acceptance criteria were met?

Is the pass/fail result of each verification recorded?

Agent Reputation

Do you check an AI agent/vendor’s verified work history before relying on it?

Can you tell a verified agent from an unverified one at procurement time?

Do you require portable proof of past performance from AI vendors?