mlsanityData to 7 Oct 2026

Agentic Business Process Management: A Research Manifesto

arXiv 2603.18916 ↗First posted 19 Mar 2026cs.AIcited by 7

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

This paper presents a manifesto that articulates the conceptual foundations of Agentic Business Process Management (APM), an extension of Business Process Management (BPM) for governing autonomous agents executing processes in organizations. From a management perspective, APM represents a paradigm shift from the traditional process view of the business process, driven by the realization of process awareness and an agent-oriented abstraction, where software and human agents act as primary functional entities that perceive, reason, and act within explicit process frames. This perspective marks a shift from traditional, automation-oriented BPM toward systems in which autonomy is constrained, aligned, and made operational through process awareness. We introduce the core abstractions and architectural elements required to realize APM systems and elaborate on four key capabilities that such APM agents must support: framed autonomy, explainability, conversational actionability, and self-modification. These capabilities jointly ensure that agents' goals are aligned with organizational goals and that agents behave in a framed yet proactive manner in pursuing those goals. We discuss the extent to which the capabilities can be realized and identify research challenges whose resolution requires further advances in BPM, AI, and multi-agent systems. The manifesto thus serves as a roadmap for bridging these communities and for guiding the development of APM systems in practice.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 30 of its 107 references that are in the map. First posted on arXiv 19 Mar 2026.

Builds on

30 of 107 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business Processes23 Mar
  2. 2024LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead7 Apr

Other references · 28

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  2. 2019Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methodscited by 903
  3. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  4. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
  5. 2025AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challengescited by 167
  6. 2021Machine Learning with a Reject Option: A surveycited by 107
  7. 2021Active Testing: Sample-Efficient Model Evaluationcited by 82
  8. 2025Design Patterns for Securing LLM Agents against Prompt Injectionscited by 67
  9. 2022AI-Augmented Business Process Management Systems: A Research Manifestocited by 27
  10. 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challengescited by 26
  11. 2020Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoringcited by 20
  12. 2025Guidelines for Empirical Studies in Software Engineering involving Large Language Modelscited by 18
16 more
  1. 2024Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applicationscited by 17
  2. 2023DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineeringcited by 11
  3. 2022Agent Miner: An Algorithm for Discovering Agent Systems from Event Datacited by 9
  4. 2025We Need a New Ethics for a World of AI Agentscited by 9
  5. 2024How well can a large language model explain business processes as perceived by users?cited by 8
  6. 2023The WHY in Business Processes: Discovery of Causal Execution Dependenciescited by 7
  7. 2024Evaluating Consistency and Reasoning Capabilities of Large Language Modelscited by 7
  8. 2022Governance of Autonomous Agents on the Web: Challenges and Opportunitiescited by 5
  9. 2023Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoringcited by 4
  10. 2023Large Process Models: A Vision for Business Process Management in the Age of Generative AIcited by 4
  11. 2020Expecting the Unexpected: Developing Autonomous-System Design Principles for Reacting to Unpredicted Events and Conditionscited by 3
  12. 2025Large Language and Reasoning Models are Shallow Disjunctive Reasonerscited by 3
  13. 2025XABPs: Towards eXplainable Autonomous Business Processescited by 3
  14. 2023Expressive Power and Complexity Results for SIGNAL, an Industry-scale Process Query Languagecited by 1
  15. 2025The WHY in Business Processes: Unification of Causal Process Modelscited by 1
  16. 2025A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AIcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 7.

7 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026Process Constitutions and Process Stewards: Towards the Next Generation of BPM for Agentic Organizations
  2. 2026Agentic Business Process Management Systems
  3. 2025An Agentic AI for a New Paradigm in Business Process Development
  4. 2026Agent Behavior Mining: Generative AI Agent Governance in Business Processes
  5. 2026A Formal Framework for Declarative Agentic AI in Business Process Analysis
  6. 2026Formal Foundations of Agentic Business Process Management
  7. 2026A Practical Guide to Agentic AI Transition in Organizations
  8. 2024Towards Modeling Human-Agentic Collaborative Workflows: A BPMN Extension