TA-14 Execution Evidence

Can you prove what your AI system was allowed to execute—and what it was not?

AI governance claims become consequential when an action is about to bind to reality. This hub focuses on the evidence needed to examine authority, changed conditions, refusal, commitment formation, execution, and outcome without assuming that a policy statement, log entry, or interface message proves the underlying control.

Inspect executable examples—not just claims

The TA-14 artifact registry now exposes executable specifications, stage traces, receipts, manifests, hashes, claims boundaries, and source paths. These examples show how changed authority, changed evidence, execution divergence, and non-occurrence claims are represented as bounded testable records.

Open the complete Artifact Registry →

The evidence chain matters

TA-14 treats execution evidence as a chain rather than a screenshot. The relevant question may require reconstructing reality, record, continuity, admissibility, binding, commit, execution, and outcome. A break at one point can change what the final record can support.

Reality → Record
Continuity → Admissibility
Binding → Commit
Execution → Outcome

Common AI execution-evidence questions

What is AI execution evidence?

AI execution evidence is the record needed to support what an AI or agentic system was allowed to do, what conditions applied, what actually executed, and what outcome followed.

Is an AI denial message proof that an action was blocked?

Not necessarily. A denial message can prove that one interface or governed path returned a denial. Proving non-occurrence may require evidence that the protected consequence did not form through the relevant execution surface.

What if authorization changed after approval?

The relevant question is whether the earlier authorization still had standing at the immediate consequence boundary. A defensible system should preserve the authority state, changed condition, revalidation, and resulting determination.

Can TA-14 review a system without forcing it to adopt TA-14?

Yes. A bounded examination can preserve the system’s native architecture, terminology, evidence, and result while testing the stated execution claim.

A negative result is still a result.

The purpose of an execution examination is not to manufacture a pass. A bounded record can support an ALLOW, HOLD, DENY, ESCALATE, unsupported claim, route-specific finding, or another native architectural result. Payment buys the examination work, not a favorable disposition.

Turn an AI execution claim into an evidence question.

If you can state the claim—“the agent was blocked,” “the approval was still valid,” “the evidence remained current,” “the action could not execute”—TA-14 can scope what evidence would be required to examine it.

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