---
title: "How AI is transforming analytics at Grab"
url: https://daily.dev/posts/how-ai-is-transforming-analytics-at-grab-c5954fome
source_url: https://engineering.grab.com/how-ai-is-transforming-analytics
type: article
source: "Grab Tech Blog"
published: 2026-08-03T01:34:50.491Z
updated: 2026-08-03T10:17:58.105Z
tags: ["llm", "ai-agents", "data-analysis", "data-engineering"]
reading_time: 13
upvotes: 4
comments: 1
language: en
---

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# How AI is transforming analytics at Grab

**[Grab Tech Blog](https://daily.dev/sources/grab)** · 13 min read · 4 upvotes · 1 comments

## Summary

Grab's engineering team shares how they've built a five-level autonomy ladder for AI-driven analytics, moving from AI-assisted work (L2) to fully autonomous loops (L5). Key internal systems include Spartan, an agentic Slack-based analytics workflow with 50+ skills and 120+ analysis frameworks; Scarlet, a near-self-healing pipeline tool; ContextIQ for managing metric context lifecycles; and BriX, an internal portal that grew 10x since September 2025. Concrete results include mechanical ticket share dropping from 44% to 30%, cycle times reduced by ~33%, and self-serve agent resolution of SQL requests rising from 50% to 81%. The post argues that as agents own more of the analytics loop, analysts shift from producing artifacts to owning problem framing, judgment, and decisions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.grab.com/how-ai-is-transforming-analytics>

## Community discussion

Top comments from developers on daily.dev.

**@agustinbarrientos** · 0 upvotes

> What tells you an analytics workflow can move from L3 to L4, especially when review quality is harder to measure than task completion?

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#data-analysis](https://daily.dev/tags/data-analysis), [#data-engineering](https://daily.dev/tags/data-engineering)

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