AI agents perform better when trained on both documented processes and the unwritten expertise that employees carry in their experience.

AI agents benefit from institutional knowledge that's already documented and readily accessible for integration

Organizations rely heavily on tacit knowledge held by employees that isn't formally recorded but drives superior decision-making

Successful agent implementation requires capturing and incorporating both explicit documentation and implicit employee expertise

Human judgment and organizational knowledge are key factors in building effective AI agent systems