AI evidence management
Make every material claim traceable.
EviDelta structures the operational evidence behind enterprise AI reviews, then maintains the links between products, claims, sources, approvals and change.
Evidence is relational
A policy file alone does not explain a product.
A useful evidence system shows which document supports which claim, for which product, under which conditions, approved by whom and until when.
EviDelta preserves those relationships so the client can distinguish current evidence from attractive but unsupported language.
The evidence architecture
Seven connected records.
What the AI-enabled product or feature does.
Which models and services support it.
What information enters, leaves or remains.
What process is intended to manage the risk.
What proves the process or fact exists.
Who accepted the representation and when.
What event requires the record to be reviewed.
Framework support
Operational records can be mapped without pretending the map is a certification.
The evidence structure can support internal alignment work for frameworks such as NIST AI RMF and ISO/IEC 42001. Mapping depends on client scope and qualified specialist review. EviDelta does not issue certifications, legal opinions or audit reports.
Use records to support governance, risk mapping, measurement and management activities.
Use documented responsibilities, processes, risks, controls, monitoring and improvement records as part of an AI management system.
Translate internal evidence into scoped, approved customer responses without overstating maturity.
Designed for change
The evidence base must notice when its answer is no longer true.
- Model or provider substitution
- Prompt and workflow changes
- New data sources or destinations
- Updated retention or training terms
- New regions or customer categories
- Evaluation failure or incident
Start with a controlled inventory