Every AI-generated action, flag, or intervention in a workflow is logged, attributable to a specific deployment, and reviewable by leadership.
A score of 10 on Traceability means this dimension is fully resolved and no longer a constraint on the phases that follow. Here is what that requires in practice.
The Autonomy Diagnostic scores Traceability on a 0 to 10 scale. Each point on the scale reflects a specific observable state in your organization.
No record exists of what AI has done in any workflow.
AI outputs are visible but the actions or decisions that produced them cannot be traced.
Some AI outputs are logged but the log is incomplete and not systematically reviewable.
AI actions are partially traceable in certain workflows but not consistently across deployments.
AI outputs are mostly visible but tracing a specific action back to a deployment requires manual investigation.
AI actions are logged in most workflows but attribution to specific deployments is inconsistent.
AI actions are logged and attributable in most workflows and are reviewable by leadership.
Every AI action in workflows is logged and attributable and leadership can reconstruct what the system did.
AI-generated interventions are fully auditable and the organization can reconstruct what the system did and why.
Every AI action in every workflow is logged, attributable to a specific deployment, and fully reviewable by leadership.
The Autonomy Diagnostic scores every dimension of the Ragsdale Framework and tells you exactly where to focus first.
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