Partner-ready intake checklist
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
MSP / vCISO partner lane
Add a white-label-friendly AI evidence-readiness layer to client AI rollouts.
MSPs, MSSPs, vCIOs, and vCISOs already sell trust, security, governance, and advisory work. AuditTrace gives them a narrow evidence-readiness artifact for Copilot, RAG, and assistant rollouts without turning the engagement into a giant platform deployment.
Buyer pain
What goes wrong without a source-boundary record.
- Client asks to “turn on Copilot” without a source-boundary record.
- Permissions are technically available but not approved for AI context.
- The partner needs a packaged AI-readiness add-on with clear scope and margin.
- The client wants governance language but needs practical evidence artifacts.
AuditTrace answer
Start with a scoped evidence-readiness artifact: approved source classes, excluded source classes, validation checks, human approval gates, and later-review triggers.
Deliverables
What this lane can produce.
Client-safe evidence pack
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Executive summary
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Source-boundary worksheet
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Validation questions
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
DecisionCard
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
First step
Audit one workflow first.
The fastest way to make the work buyable is to review one workflow, one source boundary, one exclusion record, and one validation plan before expanding.
Safe intake prompt
Tell us the workflow, source classes the AI should use, source classes it must not use, business owner, final approver, and what you need to review later.