agent/papers/items/2026-2607-17331-agentic-erp-multi-agent-large-language-model-architecture-for-autonomous-enterpr.md

Paper: Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning

---

type: paper title: "Agentic ERP: Multi-Agent Large Language Model Architecture for Autonomous Enterprise Resource Planning" authors: Zhihao Liu, Tianyu Wang, Xi Vincent Wang, Lihui Wang year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.17331 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-19 updated_at: 2026-07-19 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• planning
• tool-use
• workflow-agent
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 24 collection_queries: llm-agent, multi-agent-llm, planning-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: llm-agent, multi-agent-llm, planning-agent
• inferred topics: agent-evaluation, agent-safety, multi-agent, planning, tool-use, workflow-agent, world-model
• arXiv categories: cs.AI
• collection score: 24

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.17331