Evidence Fabrix supports explainability and audit by recording how AI-assisted work was performed, why it was allowed, and what happened — designed for governance review, not bolted on after deployment.
Why it matters
Regulated and security-conscious enterprises must answer: Who acted? Which role applied? What data was used? Which capability ran? Was approval required? What was the outcome? Evidence provides those answers from completed work records.
How it works
Evidence captures audit-relevant signals alongside task execution:
- active role and user authority
- business context and data sources used
- policies and approvals applied
- capabilities requested and execution results
- blocked actions and human corrections
- outcomes and measurable impact where available
This supports internal audit, operational review, and alignment with AI governance programs. Evidence Fabrix supports compliance readiness — it does not replace legal, privacy, or industry certification programs.
Limits
Specific regulatory mappings (for example EU AI Act documentation templates) depend on product packaging and your governance program. Treat this article as architectural intent; confirm live audit exports and retention policies for your deployment.
Example
An auditor requests proof for a contract renewal recommendation. Evidence shows certified datasource usage, Sales Manager role, capability invoked, approval recorded, and outcome accepted — with timestamps and policy context.
Business value
Reduced audit friction, clearer accountability for AI-assisted decisions, and operational records that outlive individual chat sessions.