SCALABLE MULTI-AGENT ARCHITECTURE FOR ENTERPRISE CUSTOMER EXPERIENCE: DESIGN PATTERNS AND IMPLEMENTATION

This article presents a comprehensive examination of multi-agent artificial intelligence systems deployed in enterprise customer experience applications. It introduces a novel architectural framework that enables sophisticated agent collaboration through dynamic task allocation, cross-agent learning mechanisms, and synchronized decision-making protocols. Further, the article analyzes implementation data from a large enterprise deployment, offering insights into effective agent orchestration patterns and communication methodologies. Additionally, a key contribution is the real-time market intelligence subsystem, which achieves exceptional accuracy in data synthesis whileChetan Manda