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    BPMN 2.0 is more than a diagramming notation. For AI transformation, it helps leaders and teams see how work really flows before automation or agents are introduced. This article explains how BPMN supports process clarity, decision design, human-in-the-loop controls, exception handling, governance and adoption in AI-enabled workflows, reducing the risk of automating confusion at scale and weakening trust during implementation.

  • Why AI Agents Need Process Design

    AI agents do not create value simply because they can perform tasks. They create value when embedded into clear, governed and adoptable business processes. This article explains why leaders must design workflows, triggers, decisions, human review, exceptions, systems and governance before deploying AI agents into real operations, so capability becomes measurable value, trusted adoption, controlled risk and repeatable execution at scale.