--- title: Grab Cuts Mechanical Analytics Work From 44% to 30% with... description: Grab reduced the share of mechanical analytics work handled by human analysts from 44% in February to 30% in June by deploying AI agents across its analytics... canonical: https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents | daily.dev og:description: Grab reduced the share of mechanical analytics work handled by human analysts from 44% in February to 30% in June by deploying AI agents across its analytics... og:url: https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy og:image: https://api.daily.dev/og/posts/M43V7awpY.png og:image:alt: Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents **[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 0 upvotes · 0 comments ## Summary Grab reduced the share of mechanical analytics work handled by human analysts from 44% in February to 30% in June by deploying AI agents across its analytics workflows. The company uses a five-level autonomy model, with its Spartan system routing natural-language requests (including via Slack) using over 50 skills and 120 analysis frameworks. Supporting infrastructure includes more than 5,000 certified tables and metrics, 4,000 context documents, and 2,000 golden records managed through a ContextIQ lifecycle system. A separate agent, Scarlet, handles pipeline failure root cause analysis and remediation. Self-service resolution rates for metric, data pull, and SQL requests rose significantly between March and May, with 85% of threads getting a first response within a minute. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How much did Grab reduce manual analyst workload by using AI agents for analytics? Grab cut the share of mechanical analytics tickets handled by human analysts from 44% in February to 30% in June. This covered tasks like data preparation, alerting, and reporting, achieved through a five-level autonomy model where agents discover data, write and execute queries, validate results, and draft analysis while humans retain oversight of metric definitions and final decisions. _See how daily.dev surfaces real-world AI agent adoption stories for teams evaluating analytics automation._ ### What is the five-level autonomy model used for AI analytics agents? The five-level autonomy model defines how much of an analytics workflow an agent can own while humans retain oversight. At Level 3, humans frame questions and review results while agents handle data discovery, queries, and analysis. Level 4 lets agents plan and orchestrate workflows subject to review gates, and Level 5 is end-to-end autonomy with humans only setting objectives and escalation rules. _Teams designing agent autonomy tiers can track emerging frameworks like this one on daily.dev._ ### How much has self-service analytics adoption grown at Grab without analyst involvement? Between March and May, self-service resolution without human involvement rose from 53% to 67% for metric requests, 63% to 90% for data pulls, and 50% to 81% for SQL requests. About three-quarters of these threads originated outside the analytics team, and 85% received a first response within one minute. _Engineers benchmarking self-service analytics gains can follow similar case studies on daily.dev._ ## Similar posts on daily.dev - [How AI is transforming analytics at Grab](https://daily.dev/posts/how-ai-is-transforming-analytics-at-grab-c5954fome) · Grab Tech Blog · 4 upvotes · 1 comments - [How Grab is Using AI Agents to Boost Team Productivity](https://daily.dev/posts/how-grab-is-using-ai-agents-to-boost-team-productivity-fkppsh0tc) · ByteByteGo · 2 upvotes · 0 comments - [From firefighting to building: How AI agents restored our team’s core productivity](https://daily.dev/posts/from-firefighting-to-building-how-ai-agents-restored-our-team-s-core-productivity-zfyvdslnl) · Grab Tech Blog · 2 upvotes · 0 comments - [Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab](https://daily.dev/posts/designing-a-multi-agent-system-for-engineering-support-at-scale-a-case-study-from-grab-2dxw8zpbf) · InfoQ · 0 upvotes · 0 comments - [Reducing Time-to-Insight in Company Financial Data by 90%](https://daily.dev/posts/reducing-time-to-insight-in-company-financial-data-by-90--lyxlee5ii) · SoftwareMill · 2 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#automation](https://daily.dev/tags/automation), [#data-analysis](https://daily.dev/tags/data-analysis) [View this post on daily.dev](https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents","url":"https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy"},"datePublished":"2026-08-17T13:51:51.492Z","dateModified":"2026-08-17T13:52:13.023Z","description":"Grab reduced the share of mechanical analytics work handled by human analysts from 44% in February to 30% in June by deploying AI agents across its analytics...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/909e7a8602daf177093ff39c17079bb7?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/909e7a8602daf177093ff39c17079bb7?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"InfoQ","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"InfoQ","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/afc3bced3e1e4b188dd9127017a60e0c","url":"https://daily.dev/sources/infoq"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,automation,data-analysis","timeRequired":"PT3M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"InfoQ","item":"https://daily.dev/sources/infoq"},{"@type":"ListItem","position":3,"name":"Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/grab-cuts-mechanical-analytics-work-from-44-to-30-with-ai-agents-m43v7awpy#faq","mainEntity":[{"@type":"Question","name":"How much did Grab reduce manual analyst workload by using AI agents for analytics?","acceptedAnswer":{"@type":"Answer","text":"Grab cut the share of mechanical analytics tickets handled by human analysts from 44% in February to 30% in June. 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