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iTechSmart
AI Accountability Layer

Ten questions that separate accountable AI from a black box. If you can't answer them with evidence, that's the gap to close.

How to use it

For each question below, ask whether you can back the answer with independently verifiable evidence — not a dashboard, a screenshot, or a promise. Every 'no' or 'only our word' is a place where an audit, an incident, or an enterprise security review will find daylight.

The ten

Every consequential AI action produces a record you can retrieve later

That record is tamper-evident — edits are detectable

The record can be verified by someone outside your organization

You can prove when the action happened, independent of your clock

The decision rationale is captured with the action, not reconstructed

High-impact actions require human approval before executing

Autonomous actions are bounded by explicit policy (blast radius, windows)

You can prove a fix actually worked, not just that a command was sent

Agent tool calls (MCP/API) are governed and receipted, not unguarded

Records survive longer than your log-rotation and retention windows

'Trust our audit dashboard' as the answer to any of the above

Evidence that only exists inside the system being audited

Autonomy with no policy ceiling or human-approval path

Straight answers

By design, all ten are 'yes': every autonomous action is policy-gated (Arbiter), optionally human-approved (Citadel), simulated first (Digital Twin), verified for real outcome, and sealed into a tamper-evident, Bitcoin-anchored ProofLink receipt anyone can verify.

Score your systems against the ten questions, then close the gaps with provable operations.

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