Most enterprise GenAI initiatives never leave pilot status. This whitepaper documents the operational, governance, and infrastructure gaps that stall GenAI pilots, and the reference path that gets projects to a production-grade, auditable state.
Why pilots stall
A pilot proves a model can answer questions well in a demo; production requires proving it will keep doing that reliably as data changes, that its answers are traceable to a source, and that a compliance team can audit what it said and why — capabilities most pilots never build because the demo didn’t need them.
The production checklist
Retrieval evaluation with a golden test set, source citation on every generated answer, document-level access control enforced at retrieval time, and a human escalation path for low-confidence answers are the four gaps we most consistently find between a GenAI pilot and a production-ready system.
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