agent/papers/items/2026-2606-18502-towards-scalable-customization-and-deployment-of-multi-agent-systems-for-enterpr.md

Paper: Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications

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type: paper title: Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications authors: Paresh Dashore, Shreyas Kulkarni, Uttam Gurram, Nadia Bathaee, Kartik Balasubramaniam, Genta Indra Winata, Sambit Sahu, Shi-Xiong Zhang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.18502 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-16 updated_at: 2026-06-16 status: queued relevance: high topics:

• coding-agent
• multi-agent
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: agentic-ai

One-line Takeaway

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

Why Collected

• matched queries: agentic-ai
• inferred topics: coding-agent, multi-agent, reasoning, tool-use, workflow-agent
• arXiv categories: cs.CL
• collection score: 16

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/2606.18502