Audit / AIGIS resources
Text transcripts are useful, but enterprise reviewers need the permission decisions behind the transcript.
Executive read
Capture identity mapping.
Capture object, field, and record decisions.
Capture stripped fields and denied records.
Capture the model route and response status.
Analysis
A useful audit trail explains which systems were touched and which checks shaped the final context.
For AIGIS, the Salesforce path is the clearest current proof point because the access evidence can be tied to native CRM permissions.
A prompt log can show what reached a model. It does not prove whether the user was allowed to see every element inside that prompt.
Permission provenance closes that gap by documenting the enforcement path.
Resource packet
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
Audit
What audit teams should expect from AI permission-provenance evidence across Salesforce-first governed workflows.
Architecture
What an enterprise AI audit trail should capture: user identity, system identity, permissions checked, fields stripped, model used, write approvals, and response status.
Architecture
AIGIS records which systems were queried, which identities were used, which permissions were checked, and which fields were included or stripped.