Session
Beyond Simple Q&A: Building an Agent Orchestrator for Enterprise Analytics
Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Financial Services |
| Technologies | AI/BI, Databricks Agents |
| Skill Level | Intermediate |
What does it take to go from multiple separate Genie spaces to a single agent that can coordinate across them all? How do you ensure they reference context from your unstructured data, pull up relevant BI reports, and loop in downstream reporting agents? In this breakout session, we’ll share how the World Bank built a multi-agent system that coordinates Genie spaces, document retrieval, and downstream reporting behind a single interface.What we'll cover:Orchestrator architecture: Designing a LangGraph-based orchestrator that routes natural-language questions to the right domain Genie, decomposes multi-step queries, and synthesizes unified answers.Consistency through the metrics layer: Introducing metrics-grounded Genie spaces to reduce answer variability.Bridging structured and unstructured data: Combining Genie's structured query capabilities with a RAG-powered agent for document retrieval and an auto-visualization agent that can show users plots and surface relevant BI reports.
Session Speakers
Max Marcussen
/AI Engineer, AI FDE
Databricks
Suresh Kaudi
/Data Leader & AI
World Bank