A successful demo proves that a model can respond. Production must prove that a business workflow can operate reliably.
The POC proves the wrong thing
A POC is usually tested with selected data, a small group and manual supervision. It demonstrates technical possibility, not operational viability.
Production introduces identity, permissions, incomplete data, peak usage, cost controls, incident handling and the need for an accountable business owner.
Five missing production decisions
Projects stall when the organisation postpones the decisions that make the system operable.
- which business result defines success
- which sources and actions are authorised
- how quality is evaluated before and after release
- who approves risky actions and handles incidents
- who owns cost, adoption and continuous improvement
Build the operating path during the experiment
The shortest way to production is not a larger demonstration. It is a narrow workflow designed with production constraints from the start.
Use real permissions, representative cases, explicit failure modes, trace every run and compare the result with the current human process.
A four-to-six-week recovery pattern
Week one clarifies the use case and baseline. Weeks two and three connect the minimum sources and controls. Week four runs evaluations with users. The remaining time addresses failures and prepares handover.
At the end, leadership should be able to extend, correct or stop the project based on evidence rather than enthusiasm.
CONNECT THE DECISIONS
Place this analysis inside the wider AI system
To move beyond the prototype, connect enterprise memory, last-mile deployment, ownership of the harness and memory and the limits of document retrieval alone.
FREQUENTLY ASKED QUESTIONS
FAQ
Should every POC go to production?
No. A good process also identifies experiments that should stop before consuming more budget.
What is the first production metric?
Use the metric already attached to the workflow: time, quality, conversion, cost, risk or customer outcome.
