How Enterprises Can Move From AI Pilots to Production

The gap between a good demo and a production capability, and how to close it.

A model that summarizes a document in a notebook is a demo. A system that pulls the document from the right place, summarizes it, writes the result into the system of record, and escalates the cases it is unsure about — that is production. The model is often the smallest part.

What the pilot skipped

Integration with the systems the work actually lives in. Handling of the messy inputs that were filtered out of the demo. An evaluation set of real examples with expected behavior. A defined human-review step. Monitoring. Access control. A cost model that includes review time.

The production checklist

Put the AI behind a service with a clear API. Ground factual output in retrieved sources and show them. Build an evaluation harness and run it on every change. Define where output is a draft for review versus an automatic action. Instrument everything. Decide who owns it operationally.

Scope the first production use case narrowly

One workflow, one team, one clear metric against a measured baseline. Prove it there, then widen.

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