The audit posture
The review should trace the path from authenticated user to enterprise permission decision to model context.
AIGIS is designed to make that path inspectable before an enterprise expands AI into broader workflows.
Security / AIGIS resources
A CISO brief for AI governance that can survive audit review.
A CISO does not need another AI promise. The useful question is whether the runtime can prove what the model could see and why.
Executive read
The short version, before the deep dive.
Ask what data reached the model, not only what answer came back.
Treat Salesforce as the current production proof path.
Treat ServiceNow and SAP as design-partner co-development with asymmetric enforcement.
Look for permission evidence, denied-data evidence, and model-route evidence.
Analysis
What matters
The board-ready version
The board update should not rely on screenshots or vendor assurances. It should name the enforcement mechanism, evidence produced, and remaining connector boundaries.
That framing is more credible than pretending every enterprise system has identical AI enforcement semantics today.
Resource packet
Turn this into a review worksheet.
Evidence packet
Permission-Provenance Evidence Packet
Capture user context, system of record, enforcement tier, stripped fields, model route, response, hash marker, and fallback notes.
Salesforce is the production proof path. ServiceNow and SAP are design-partner co-development paths with asymmetric enforcement that must be disclosed in diligence.
Keep reading
Related resources.
Executive
AI Audit Evidence For Board Updates
How executives can frame AI governance evidence for board and risk committee updates.
Audit
Permission Provenance Audit Evidence
What audit teams should expect from AI permission-provenance evidence across Salesforce-first governed workflows.
Procurement
Enterprise AI Governance RFP Questions
Questions procurement, security, and architecture teams can use when evaluating AI governance vendors.