Why evidence matters
Regulated teams cannot rely on screenshots and intent statements when an auditor asks what a model could see.
AIGIS is designed to produce permission-provenance evidence that can be attached to a governance review.
Security / AIGIS resources
Regulated AI buyers need permission evidence before scale.
Financial services, healthcare, energy, and other regulated teams need AI governance that can be reviewed, not merely promised.
Executive read
The short version, before the deep dive.
Start with the system where enforcement is strongest.
Make denied context visible in the audit story.
Use conservative connector claims during diligence.
Tie the proof workflow to a real governance or audit question.
Analysis
What matters
Where to begin
Begin with a Salesforce workflow because it is the current production proof path.
Then identify which adjacent systems belong in design-partner co-development scope and document the enforcement difference.
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.
Checklist
Salesforce AI Governance Review Checklist
A practical review checklist for Salesforce-heavy teams evaluating AI permissions, field stripping, record access, and audit evidence.
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.