The live-access reason
A permission cache can help with stable metadata, but record visibility is too dynamic to treat as a stale fact.
For Salesforce workflows, AIGIS emphasizes live record access checks before any allowed context is assembled.
Salesforce / AIGIS resources
Record visibility can change. A governed AI path should check current Salesforce access when context is being assembled.
Executive read
Object and field permission checks are necessary but not enough.
Record-level visibility should be evaluated at request time.
Denied records should be part of the provenance story.
The first proof workflow should make record differences visible.
Analysis
A permission cache can help with stable metadata, but record visibility is too dynamic to treat as a stale fact.
For Salesforce workflows, AIGIS emphasizes live record access checks before any allowed context is assembled.
Pick two users with different sharing visibility and ask the same governed question.
The audit evidence should show different context boundaries before the model response, not only different final wording.
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
Use case
How AIGIS governs Salesforce AI access with object, record, and field permissions while routing safely across SAP, ServiceNow, databases, and other enterprise systems.
Checklist
A practical review checklist for Salesforce-heavy teams evaluating AI permissions, field stripping, record access, and audit evidence.
Salesforce
Controls for reducing Salesforce data leakage risk in LLM-based workflows.