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Formal framework for agentic AI in business process analysis unveiled

Researchers have developed a formal framework for analyzing business processes using agentic AI, which enables autonomous decision-making and dynamic adaptation. This framework, based on the AGO methodology, defines agents, goals, and objects within a Business Process Knowledge Base (BPKB). The BPKB supports structured querying, updates, and automatic workflow generation, ensuring the soundness and completeness of derived paths. AI

IMPACT Provides a structured approach for integrating agentic AI into business processes, potentially improving automation and decision-making.

RANK_REASON The cluster contains an academic paper detailing a new formal framework for agentic AI in business process analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammad Azarijafari, Luisa Mich, Michele Missikoff ·

    A Formal Framework for Declarative Agentic AI in Business Process Analysis

    arXiv:2606.15291v1 Announce Type: new Abstract: Agentic AI opens new opportunities for automating Business Process (BP), enabling autonomous decision-making and dynamic adaptation. However, realising this potential requires BP entities and their interactions to be defined with fo…