mlsanityData to 14 Oct 2026

An Agentic AI for a New Paradigm in Business Process Development

arXiv 2507.21823 ↗First posted 29 Jul 2025cs.AIcited by 2

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

Abstract (arXiv)

Artificial Intelligence agents represent the next major revolution in the continuous technological evolution of industrial automation. In this paper, we introduce a new approach for business process design and development that leverages the capabilities of Agentic AI. Departing from the traditional task-based approach to business process design, we propose an agent-based method, where agents contribute to the achievement of business goals, identified by a set of business objects. When a single agent cannot fulfill a goal, we have a merge goal that can be achieved through the collaboration of multiple agents. The proposed model leads to a more modular and intelligent business process development by organizing it around goals, objects, and agents. As a result, this approach enables flexible and context-aware automation in dynamic industrial environments.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 6 of its 10 references that are in the map. First posted on arXiv 29 Jul 2025.

Builds on

6 of 10 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025EvoFlow: Evolving Diverse Agentic Workflows On The Fly11 Feb
  2. 2025AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents22 Jan

Other references · 4

  1. 2025Agentic Large Language Models, a surveycited by 108
  2. 2025Agentic Systems: A Guide to Transforming Industries with Vertical AI Agentscited by 20
  3. 2025Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AIcited by 9
  4. 2025Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platformcited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026Agentic Business Process Management: A Research Manifesto
  2. 2026A Practical Guide to Agentic AI Transition in Organizations
  3. 2026Agentic Business Process Management Systems
  4. 2025AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
  5. 2026Design and Implementation of Agentic Orchestrations and Orchestration of Agents
  6. 2024BMW Agents -- A Framework For Task Automation Through Multi-Agent Collaboration
  7. 2025A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows
  8. 2026Organizational Memory for Agentic Business Process Execution