Digital Product Strategy

Enterprise AI Pilots: From Demo to a Defensible Decision

Scope, evaluation sets, data security, human review and stop criteria for a pilot that reveals real value and risk.

Enterprise AI pilot evaluation loop with human review
A pilot should support a defined decision, not merely demonstrate an attractive model. Select one bounded, real workflow and representative data that includes errors and edge cases.

Build the evaluation set before choosing the model. For RAG, measure retrieval, citation, final-answer quality and correct refusal separately. Classify data and document processing location, retention, logging and operator access. High-impact decisions need human review and a correction path.

Include retrieval, document processing, human review, monitoring and incident handling in cost. Define quality thresholds, cost ceilings, unacceptable security events and stop criteria in advance.

References: the NIST AI Risk Management Framework and its Generative AI Profile for Govern, Map, Measure and Manage; OWASP guidance for common LLM application threats.
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