Unlocking Enterprise Co-Intelligence through Multi-Agent Collaboration
Multi-agent Collaboration Systems (MAS), composed of autonomous and specialized AI agents coordinated through orchestration and communication protocols, provide a robust alternative. By enabling coordinated reasoning, tool use, and role-based task division, MAS delivers scalable, resilient intelligence to meet complex enterprise needs. This whitepaper examines how MAS enables enterprise co-intelligence through distributed reasoning, domain specialization, and adaptive collaboration, detailing core definitions, architectural patterns, tangible benefits, and critical design considerations for building effective multi-agent ecosystems at enterprise scale.
