The evidence frame
A board update can explain that governed AI requests are checked before model exposure, with evidence for included and excluded context.
This is clearer than describing AI governance only as a policy rollout.
Executive / AIGIS resources
Board AI updates need audit evidence, not only adoption metrics.
Boards want to know whether AI risk is controlled. The useful answer includes evidence about data exposure and enforcement.
Executive read
The short version, before the deep dive.
Report what systems were governed.
Report what permission evidence was produced.
Report which connector boundaries remain asymmetric.
Report the next proof workflow instead of broad promises.
Analysis
What matters
The honest expansion frame
A credible update names Salesforce as the current proof path and describes ServiceNow and SAP as co-development surfaces.
That honesty makes the broader roadmap more defensible.
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.
Security
CISO AI Audit Readiness Brief
A concise CISO-oriented brief for evaluating AI governance evidence, permission enforcement, and connector asymmetry.
Audit
Permission Provenance Audit Evidence
What audit teams should expect from AI permission-provenance evidence across Salesforce-first governed workflows.
Security
AI Governance For Regulated Industries
A regulated-industry lens on permission provenance, field stripping, and Salesforce-first proof workflows.