Design and Implementation of Agentic Orchestrations and Orchestration of Agents

2026-06-30

AI Summary

This study addresses the challenge of ensuring traceability, controllability, and correctness of large language model–driven agents within business processes while preserving their autonomy. To this end, the work proposes the first multidimensional attribute classification framework specifically designed for agent orchestration, integrating principles from business process management to strike a balance between agent autonomy and system robustness. Complementing the framework, the authors introduce qualitative decision-making guidelines and quantitative evaluation metrics. The efficacy of the proposed approach is empirically validated through multi-agent experiments in a predictive light-sensing scenario, demonstrating its capacity to support both theoretical inquiry and practical deployment of orchestrated intelligent agents in real-world applications.

Abstract

Agentic Business Process Management has gained momentum recently. The prospect is that the autonomy of AI agents, i.e., predominantly LLM-based agents, can be balanced with a certain level of robustness, tractability, and traceability through a combination with process technology. In this paper, we provide a classification framework for agentic orchestration options along properties such as task specificity, traceability and tractability, autonomy and reactivity, and correctness assurance and present qualitative decision criteria for realizations of different scenarios. We also provide metrics for the quantitative assessment of realization properties and show them through different agentic implementations of a predictive light sensing scenario. Altogether, this work aims at providing properties, criteria, and metrics for the design and implementation of agentic orchestrations and orchestration of agents.

Problem

• Agentic Orchestration
• Business Process Management
• Autonomy
• Traceability
• Correctness Assurance

Innovation

• Agentic Orchestration
• Business Process Management
• LLM-based Agents
• Traceability
• Autonomy