Enterprise AI
AI Pilot to Production: Proving the Value
A practical framework for deciding whether an AI pilot has created enough evidence to justify production investment and broader rollout.
Define success before the pilot
Choose measurable outcomes before launch.
Measure what changes at production scale
Production introduces integrations, security, governance, monitoring, support and change management.
Separate technical success from economic success
A model can perform well technically without creating enough business value to justify scale.
Replace assumptions with evidence
As real usage data becomes available, update the original business case.
Confirm the economic threshold for scale
Decide in advance how much evidence a pilot needs to produce before it is worth the cost of a production rollout.
Model adoption at scale, not just in the pilot group
A pilot's early adopters are rarely representative. Expected value at production scale depends on how the broader user base actually adopts the new workflow.
Assign an owner for the transition
Give the move from pilot to production a named business owner accountable for the metric the project was meant to move, not just a technical lead responsible for uptime.