A successful pilot proves feasibility. Production proves repeatability. The gap between them is rarely model quality alone - it is integration, ownership, and the ability to operate safely at higher throughput.
Tie the pilot to a business lever
If the pilot’s goal is vague (“explore GenAI”), expansion will struggle for sponsorship. Anchor the experiment to a measurable outcome: time to complete a workflow, error rate, cost per case, or revenue impact.
Design for the messy middle
Production traffic looks nothing like a demo script. Plan for partial inputs, edge cases, and hand-offs to humans. The interface and escalation paths matter as much as the model card.
Close the loop with real usage
The fastest way to improve is structured feedback from people doing the job daily. Capture failure modes, not just satisfaction scores - they tell you what to fix next.
Treat production as a product: ship, measure, refine. That is how pilots turn into platforms your organisation will actually run.
