How AI is transforming analytics at Grab

This post details the evolution of Grab's AI-assisted analytics capabilities, moving towards more autonomous workflows. It introduces Spartan, an end-to-end agentic analytics workflow accessible via Slack, which uses over 50 skills and 120 analysis frameworks to answer business questions in natural language. It also describes Scarlet, an agentic system for near-self-healing pipelines that automates root-cause analysis and triage. The post highlights the importance of context management with ContextIQ and its Context Lifecycle Manager, enabling agents to maintain and update knowledge bases. It also introduces BriX, an internal portal built by data engineers to create purpose-built analytics surfaces, democratizing L3 workflows for non-analysts. The post discusses the 'ladder' of AI autonomy in analytics, from AI-Assisted (L2) to End-to-end autonomous (L5), emphasizing the role of human judgment in problem framing, metric definition, and decision-making.
More from the AI-Assisted Analytics trail
- Grab Bench: Evaluating AI on Grab-shaped production work
- Palana (Part 2): Architecting isolation, identity, and auditability for AI agents
- Palana (Part 1): Why Grab built a secure platform for autonomous AI Agents
- Agent platform (Part 1): How we help Grab build and run AI agents at scale
- From firefighting to building: How AI agents restored our team’s core productivity