Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning
Enterprise Resource Planning (ERP) systems record transactions reliably but still delegate almost all operational decision-making to human specialists, because classical rule-based automation cannot reason about exceptions and monolithic AI assistants degrade when asked to coordinate across functional boundaries. This paper presents Agentic ERP, an expert-system architecture that combines role-aligned large-language-model (LLM) agents with a risk-tiered human-in-the-loop harness and a graph-base
Record details
Published: 19 July 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Agents & autonomy
Retrieved: 21 July 2026
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ethics.ai (19 July 2026), “Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning,” evidence record 11995, https://ethics.ai/record/11995 (originally published by arXiv).
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