Why this decision matters
A demonstration proves that selected examples can run, not that the system meets agreed data, permission, interface, exception and deployment conditions.
Acceptance should use fixed samples, metrics, runtime environments, workflows, exception cases and reproducible records rather than one controlled demo.
Conditions to confirm before development
- Representative data scope, version and labeling definitions
- Outcome metrics, error categories and human review
- Interfaces, permissions, logs, latency and exceptions
- Deployment environment, dependencies, rollback and handover materials
Implementation and delivery approach
Define acceptance before implementation and test the complete path under target-like conditions, including abnormal inputs and operational failure.
Keep test inputs, system and model versions, outputs, open issues and retest conclusions for later reproduction.
Acceptance boundary
This guidance applies to the agreed data, system and environment. Project-specific scope, dependencies and acceptance conditions must be confirmed separately.