Executive Tool
AI Digital Evidence Brief
5 Questions Leaders Should Ask Before Trusting AI-Driven Digital Evidence
Not an AI benchmark. Not a compliance checklist. Not a statement about any specific model or vendor.
The Governance Question Behind AI Evidence
As AI systems, agents, and model-assisted workflows contribute to enterprise decisions, leadership may need to establish not only whether an output appears useful, but whether the organisation can later explain what the system contributed, what it relied upon, and how that contribution can be reconstructed.
The brief is designed for discussion among CIO, CISO, Chief AI Officer, CDO, Internal Audit, and other governance leadership.
The Five Questions
Contribution and Authority
What authority did the AI system have, and where was human review, approval, or override required?
Evidentiary Basis
Can the organisation identify the evidence, data, or context relied upon by the AI system?
Reconstructability
Could the organisation later reconstruct the model, prompt, data, tools, and permissions active at the time?
Sensitivity to Change
Are changes to models, prompts, connected tools, enterprise data, or permissions treated as governance-relevant events?
Source Evidence
Can AI-generated or AI-transformed evidence be distinguished from the underlying source records?
Download the Brief
Free, ungated executive brief for structured AI governance discussion.
This resource is intended for general governance discussion and does not constitute legal advice, compliance certification, audit assurance, or a formal Michvi assessment.
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If these questions surface uncertainty about how AI-driven evidence would hold up under later scrutiny, initiate a confidential governance dialogue.
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