A Scalable Architecture for Multi-Agent Collaboration in Enterprise Environments

Enterprise adoption of multi-agent systems is held back less by model quality than by coordination, failure handling and visibility into what agents are doing. We propose a layered architecture that separates planning, execution and supervision, with explicit contracts between agents.

A case study across three enterprise workflows shows lower task failure rates and faster incident diagnosis compared with a monolithic agent baseline.