Evaluation-only approach
Evaluation ends at delivery — no feedback loop into future deployments
Regression detection requires custom tooling outside the evaluation system
Quality signals stay isolated from the release decision
Compliance evidence must be assembled after the fact from separate exports
AuraOne way
Evaluation results feed back into Regression Bank for every future release
Known failure patterns block re-deployment automatically via Deploy Guards
Quality signals attach to the release boundary, not a separate dashboard
Evidence packs assemble at review time — no post-hoc export needed