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Organize the evidence for a framework discussion. This worksheet does not determine legal applicability, confer certification or establish that controls are effective.
Tensile AI
Self-guided worksheet
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Self-guided worksheet. This reading edition provides questions and evidence criteria. It does not calculate a score, produce a radar chart, compare peers, save answers, email results or generate a PDF.
Organize the evidence for a framework discussion. This worksheet does not determine legal applicability, confer certification or establish that controls are effective.
How to use it
Choose one workflow. For each question, record the answer, source, owner, date, gap and next check in your team’s document. Use “unknown” when the evidence is absent. Repeat after a material workflow change to compare your own records.
Confirm applicability
Which requirements apply to this system, organization and use?
Evidence to collect: An applicability decision from the responsible legal, risk or compliance specialist.
Map the scope
What workflow, version, data and operating environment does the review cover?
Evidence to collect: A bounded system description with exclusions and accountable owners.
Map behavior to controls
What observable behavior supports each selected requirement?
Evidence to collect: Policy references, configured checks and the actual execution or review evidence.
Record exceptions
What failed, what is unknown and who owns the next action?
Evidence to collect: An exception record with severity, disposition, evidence and review date.
Prepare the review packet
Could another reviewer reconstruct the claim and its limits?
Evidence to collect: Versioned sources, timestamps, owner approvals and missing or stale evidence clearly identified.
Turn the gaps into a bounded next step
Start with the most consequential unresolved job. Agree what would establish a better result, test the correction, and retain the source and outcome limits.
Use the reliability workflow worksheet · Explore Tensile · Discuss a concrete workflow
Explore the failure mechanisms, the tests they need and the evidence that establishes the customer outcome.
AI reliability, from production to customer outcome.