Your BPMN diagrams capture roughly 25% of operational reality. They were designed for human communication – not machine analysis – and AI cannot deliver meaningful recommendations from incomplete data. Drawing on 25 years of process optimization experience, Sasha will present a practical approach to documenting processes in formats AI can actually consume: structured knowledge base. A real case studies will show how this method uncovered hidden cost drivers, counterintuitive correlations, and targeted fixes that traditional analysis missed entirely.

Learning Objectives:

What is limiting AI’s analytical power

What “AI-ready” process knowledge looks like

Practical framework for building knowledge base