Autonomous Event-Driven Multi-Agent Orchestration for Enterprise AI at Scale
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2606.20058.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThe paper evaluates DAG Plan and Execute and ReAct across 208 production-derived enterprise scenarios at Persona, Department, and Enterprise scales, and introduces a Task Manager for continuous multi-agent operation. Scale, not task complexity, dominates orchestration performance, with agent discovery noise as the primary bottleneck at enterprise scale.
Why it mattersQuantifies how multi-agent architectures actually degrade at scale and offers a Task Manager design with measured latency and correctness gains.
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