RAG Evidence Readiness Assessment
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
RAG / AI builder lane
Retrieval readiness starts before ingestion.
RAG systems, Copilot workflows, and internal knowledge assistants can retrieve only as safely as their source boundary allows. AuditTrace reviews approved sources, excluded sources, permission assumptions, index traceability, citation expectations, validation questions, and post-launch preservation triggers.
Buyer pain
What goes wrong without a source-boundary record.
- A vector index cannot prove source approval by itself.
- Permission access is necessary, but not the same as approved AI context.
- Embeddings need source owner, source path, version, deletion, and refresh traceability.
- Citations should point to approved and current source classes, not random accessible files.
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.
Source inventory and exclusion record
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Permission/index boundary notes
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Citation and grounding expectations
Client-safe, reviewable artifact language that supports a scoped AI evidence audit without exposing internal mechanics.
Validation question set
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.