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Grab is deploying AI agents to automate complex analytics workflows, shifting analyst roles from manual execution to high-level oversight of certified data contexts. This implementation demonstrates a practical application of autonomous reasoning in enterprise settings, where agents handle SQL generation and root cause analysis while humans retain accountability for business logic and causal interpretation. The strategy highlights the evolving definition of human-in-the-loop systems as AI capabilities expand into end-to-end orchestration tasks previously reserved for mechanical analysts.
Surse care acoperăInfoQ, Analytics Vidhya, arXiv
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Grab Cuts Mechanical Analytics Work from 44% to 30% with AI Agents

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Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention. By Leela Kumili

Grab is using AI agents to automate analytics workflows, reducing the share of routine work handled by analysts and shortening the time required to answer business questions. The company reports that the share of mechanical tickets handled by analysts fell from 44% in February to 30% in…

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