Accelerating Product Onboarding with a Multi Agent System on Databricks

The session explores how a Multi Agent System (MAS) architecture, built on Databricks, transforms product onboarding by orchestrating specialized AI agents for tasks such as site item setup, eCommerce attribution, supplier validation, and more. Leveraging Databricks’ robust data engineering, ML/LLM Ops, and security layers, MAS reduces onboarding time and effort through agent collaboration, human-in-the-loop validation, and seamless integration with enterprise applications. Attendees will learn how agent orchestration, context sharing, and secure deployment enable scalable, auditable, and value-driven automation, with a focus on practical implementation patterns and measurable business impact. The talk will include a walkthrough of the MAS architecture and a discussion of future opportunities for agentic AI in enterprise data platforms.