Evidence Architecture | Turning AI Controls into Provable Assurance | R.A.H.S.I. Framework™
Evidence Architecture | Turning AI Controls into Provable Assurance | R.A.H.S.I. Framework™ A control owner can show that an agent policy was configured. An investigator needs to establish whether it evaluated the sp
Evidence Architecture | Turning AI Controls into Provable Assurance | R.A.H.S.I. Framework™
A control owner can show that an agent policy was configured. An investigator needs to establish whether it evaluated the specific run, what it decided, and whether an approved exception changed the outcome.
Configuration is not execution evidence.
Which control evaluated the action? Which policy version applied? Who authorised a bypass? What surviving records support those answers?
Monitoring makes activity visible. Logging records selected events. Evidence supports a specific claim. Assurance tests whether that evidence establishes that the intended control operated.
Microsoft capabilities contribute layers. Copilot Studio can enforce agent data policies that block specified connectors or capabilities. Its agent-level telemetry and preview environment-level traces can support observation and investigation. Agent 365 describes runs as spans covering steps such as model and tool calls. Microsoft recommends telemetry that connects identity, model version, guardrail decisions, tool calls, outputs and downstream actions.
Coverage depends on the deployed agent, configuration, licensing and preview status. None of those capabilities alone guarantees policy-version attribution, named exception approval, durable evidence or end-to-end reconstruction.
An absent link is an assurance gap. A nearby dashboard event cannot stand in for proof.
The architectural work is to capture decisions as they occur, preserve relevant context under privacy and access controls, retrieve it for testing, and reconstruct the sequence. Reconstructable AI™ is the R.A.H.S.I. objective: a qualified investigator can explain a consequential agent action from surviving, inspectable evidence.
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Evidence Architecture | Turning AI Controls into Provable Assurance | R.A.H.S.I. Framework™
Evidence Architecture turns AI controls into provable assurance by linking policy decisions, exceptions, telemetry and surviving evidence.
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