From understanding the problem to improving performance.

Define the business objective, users, risks, current performance, and success measures.

Examine knowledge sources, conversations, language data, systems, and failure patterns.

Develop the knowledge architecture, evaluation criteria, annotation procedures, or solution design.

Implement an AI experience or execute the agreed technical evaluation.

Review results, correct failures, retest, document improvements, and establish ongoing governance.