AI Decision Traceability Log
Record what the AI saw, retrieved, inferred, recommended, and what humans finally decided.
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The exact sections inside the download.
Input
What user request or workflow trigger started the decision?
Retrieved
Which sources, records, or memories were used?
Inferred
What did the model infer beyond the raw source material?
Reviewed
Who reviewed the recommendation and what evidence did they inspect?
Acted
What final decision, message, task, or tool action occurred?
Trace ID
What identifier links the request, output, review, and final action?
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Frame the decision
Name the real operating need before designing a solution.
Name the recommendation, classification, approval, or escalation.
List records, documents, tools, and memory used.
Name who accepted, changed, rejected, or overrode the recommendation.
How to use it
Start with one real decision.
Complete the canvas with the workflow owner, then use the blank areas to expose missing context and controls.