Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
InfoQ AI/ML
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Generative AI
Data Science
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering 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