Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab (opens in new tab)

Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work. By Leela Kumili