Brief / AIGIS resources
Surveys report most enterprises have unknown AI agents in their environments. Discovery tools name them. The sharper question for a governed agent is whether you can prove what it was allowed to do. Salesforce is the AIGIS production proof path.
Executive read
Discovery answers which agents exist; provenance answers what each was allowed to access.
Permission checks belong before model exposure, not after transcript review.
Keep evidence of denied records and stripped fields per agent interaction.
Prove it first on Salesforce; treat ServiceNow and SAP as disclosed co-development scope.
Analysis
Inventories and control towers can surface agents you did not know were running. That closes the visibility gap but not the proof gap.
Once an agent acts on systems of record, the board question becomes whether you can show the permission decision behind each access.
AIGIS checks the user's permissions before the model sees business context, strips fields the user cannot view, and records the decision as auditor-readable evidence.
Prompt logs answer what the AI said. Permission provenance answers why it was allowed to know it.
Start with one Salesforce workflow where different users have different record or field visibility, and show the evidence trail end to end.
Request a scoped governance review at `/demo`.
Keep reading
Audit
What audit teams should expect from AI permission-provenance evidence across Salesforce-first governed workflows.
Strategy
Why enterprises may want a governance layer above vendor assistants and model providers.
Executive
How executives can frame AI governance evidence for board and risk committee updates.