Open table of contents
Conclusion
Assess production ownership and sustained evaluation separately from prototype accuracy.
Context
Scaling a PoC beyond a small dataset and team exposes gaps in authority, evaluation, operations and ownership. Assess technical and organizational readiness together.
Design and verification scope
Assess the following responsibilities and boundaries when designing and verifying a configuration.
- Data
- Ownership
- Evaluation
- Permissions
- Integration
- Operations
- Organizational adoption
Decision rationale
Use data, ownership, evaluation, permissions, integration, operations and adoption as seven readiness checks. Separate what the PoC established from additional production requirements, assigning owners and acceptance decisions. Model accuracy alone is not a release gate.
Trade-offs
Early production checks slow initial experimentation but may reduce later redesign. Do not load every requirement into the PoC: state the minimum scope for value and feasibility hypotheses, then specify the subsequent checks.
Limitations
Review ownership, evaluation gates, access controls, incident response and acceptance criteria. Do not invent success rates or deployment outcomes.
Related case context
These cases provide attributed design context. They do not establish that the proposed experiments or configurations were delivered in those engagements.