The AI Model Evidence Log is the governed record that captures the evidence, approvals, boundaries, and outputs associated with any AI‑supported workflow. It documents how AI was used, what data it touched, what decisions it influenced, and what human oversight occurred creating a complete, audit‑ready chain of proof.
This log ensures every AI‑supported action is traceable, defensible, and aligned with organizational and regulatory expectations.
What data the AI model used and where it came from.
The exact outputs generated by the model.
What decisions the AI supported or influenced.
Reviews, approvals, overrides, and validations from the Human‑in‑the‑Loop Workflow.
Model versions, prompt versions, and workflow changes.
Who approved what, and when.
This creates a complete evidence chain for every AI‑supported workflow.
Organizations fail with AI because they cannot prove:
Without evidence, AI becomes:
The AI Model Evidence Log eliminates this by creating a governed, reconstructable record of every AI‑supported action.
The AI Model Evidence Log is the fourth component of AI Readiness Governance and directly depends on:
AI Boundary Framework — defines what must be logged
AI Risk Assessment Template — defines the risk evidence required
Human‑in‑the‑Loop Workflow — defines the human actions that must be captured
It is the evidence layer that makes AI defensible.
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