Agree on pass, fail and exclusion rules before testing an AI workflow. Put them in front of the reviewer before results arrive. Our free readiness check covers that step:
https://veritrooper.com/resources/evidence-readiness-scorecard/?utm_source=bluesky&utm_campaign=criteria-first

A summary score can hide the failure that matters most: a confident answer to a question the source can't answer. Review the per-question record, not just the percentage. See how Scout surfaces those cases: https://veritrooper.com/scout-walkthrough.html?utm_source=bluesky&utm_campaign=unanswerable

NIST's AI RMF says performance should be tested in conditions like the real deployment setting. Before trusting a score, define the task, users, sources and decision. Check one workflow: https://veritrooper.com/resources/evidence-readiness-scorecard/?utm_source=bluesky&utm_campaign=nist-context

Article 11 makes technical documentation a living record for high-risk AI: draw it up before market or service, then keep it current. Map each Annex IV area to the evidence you have: https://veritrooper.com/resources/eu-ai-act-technical-documentation-mapper/?utm_source=bluesky&utm_campaign=article11

Freeze the AI run record before judging the answers. If evidence can change after scoring, the result is hard to defend. The public sample includes a manifest and verification script so you can inspect that boundary: https://veritrooper.com/evidence/?utm_source=bluesky&utm_campaign=frozen-record

Before testing an AI workflow, finish: “We’ll use the result to decide whether to ___.” If nobody owns that decision, even a good score may sit unused. The readiness check starts there: https://veritrooper.com/resources/evidence-readiness-scorecard/?utm_source=bluesky&utm_campaign=decision-owner

Annex IV covers more than the model: data, testing, risk controls, monitoring, and change history. This browser-private mapper helps you see which records exist and what's missing: https://veritrooper.com/resources/eu-ai-act-technical-documentation-mapper/?utm_source=bluesky&utm_campaign=annexiv

An AI review handoff needs the exact source version, the system/build identity, and the question-and-answer record. Miss one and the reviewer is reconstructing the test. Check readiness: https://veritrooper.com/resources/evidence-readiness-scorecard/?utm_source=bluesky&utm_campaign=review-handoff

Article 11 starts with a record: what an AI system is, how it was tested, what changed, and how it will be monitored. I built a private-in-browser Annex IV mapper to make gaps visible: https://veritrooper.com/resources/eu-ai-act-technical-documentation-mapper/?utm_source=bluesky

AI governance produces plenty of policies and dashboard scores—but can the evidence survive scrutiny?

A reviewable AI assurance record should show what happened—not just the final score. Start with this four-minute check:

https://veritrooper.com/resources/evidence-readiness-scorecard/