Designed and developed an
enterprise-grade multi-agent Al automation system using non. The architecture includes a central Manager Agent that intelligently routes requests to specialized Al agents based on user intent. The system supports multimodal input, including text, voice, and images, processes knowledge through Retrieval-Augmented Generation (RAG), manages calendars, contacts, and emails, and integrates with multiple external APIs. Built for scalability, the solution automates complex business workflows while maintaining modular architecture for easy expansion and maintenance.