A-BPMS Systems: The Wave of Agentic AI in Business Process Management

A recent position paper explores the evolution of Business Process Management (BPM) driven by Agentic and Generative Artificial Intelligence (AI). Since the 90s, BPM has seen several waves of automation, but AI promises a radical shift: the transition from automation to autonomy and from design-driven process management to data-driven management, leveraging process mining techniques.

An Architecture for Autonomy

The paper proposes an architectural vision for Agentic Business Process Management Systems (A-BPMS), a new class of platforms that integrate autonomy, reasoning, and learning into process management and execution. These systems will support a continuum of processes, from human-driven to fully autonomous, redefining the boundaries of automation and governance.

Process Mining: The Foundation for Agentic AI

The paper emphasizes how process mining has laid the foundation on which agents can sense process states, reason about improvement opportunities, and act to maintain and optimize performance. This data-driven approach allows for the identification of bottlenecks, inefficiencies, and areas for improvement more effectively than traditional methods.

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