Worksheet / AIGIS resources
Agentforce can fit Salesforce-native work. This worksheet helps teams decide when a separate governed runtime is useful for permission evidence, model choice, and cross-surface governance.
Executive read
Use Agentforce when the workflow is Salesforce-centered and the governance model is acceptable.
Use AIGIS when the review needs independent permission-provenance evidence.
Ask whether hidden fields are stripped before model context exists.
Ask how ServiceNow and SAP are handled before assuming connector parity.
Analysis
Is the workflow entirely Salesforce-native, or does it require evidence across multiple systems and surfaces?
Can the buyer inspect which fields were excluded before the prompt was built, and can that evidence be exported for audit review?
AIGIS is a strong fit when Salesforce is the first proof path and the buyer needs a governed runtime that can later include other systems with honest enforcement boundaries.
The safe comparison is not a universal replacement claim. The safe comparison is architecture, evidence, and boundary control.
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
Comparison
Compare AIGIS with Salesforce Agentforce for cross-system AI governance, field-level permissions, model choice, deployment model, and enterprise stack cost.
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.
Strategy
Why enterprises may want a governance layer above vendor assistants and model providers.