Designing a Multi-Agent System for Engineering Support at Scale: a Case Study from Grab

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

Key takeawayThis matters because developer tooling changes can speed up how teams build and operate AI systems.