Sprint shape
The proof should identify the user, object, fields, records, question, expected exclusions, and audit evidence required.
That lets the buyer evaluate runtime trust instead of wandering through a broad demo.
Evaluation / AIGIS resources
An AI governance proof sprint should prove one meaningful workflow.
A proof sprint works best when it is narrow enough to execute and important enough for security, architecture, and the buyer to care.
Executive read
The short version, before the deep dive.
Choose one permission-sensitive Salesforce workflow.
Define the evidence packet before the sprint begins.
Measure whether the workflow creates qualified governance confidence.
Hold adjacent systems as scoped design-partner work if needed.
Analysis
What matters
Success criteria
Success means the buyer can see the governed context boundary, understand the permission checks, and decide whether a production pilot is warranted.
The next step is a scoped governance review at `/demo`.
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.
Procurement
Enterprise AI Governance RFP Questions
Questions procurement, security, and architecture teams can use when evaluating AI governance vendors.