Framework Classifies Agentic Orchestration for Business Process Management.

The concept of Agentic Business Process Management (BPM) is gaining traction, promising to combine the autonomy of AI agents, particularly those based on Large Language Models (LLMs), with the robustness, tractability, and traceability offered by traditional process technology. This research aims to provide clarity in this emerging field. The paper introduces a classification framework for various agentic orchestration options. This framework categorizes orchestrations based on properties such as task specificity, traceability, tractability, autonomy, reactivity, and correctness assurance. It also outlines qualitative decision criteria to guide the realization of different scenarios. Furthermore, the work proposes quantitative metrics for assessing the properties of these realizations. These metrics are then demonstrated through different agentic implementations within a predictive light sensing scenario. Overall, this research offers a structured approach with properties, criteria, and metrics to aid in the design and implementation of effective agentic orchestrations and the orchestration of agents within business processes.