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LLM agent translates natural language to governed enterprise API analytics

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

Researchers have developed Analytic Agent, an LLM-based system designed to securely interact with enterprise analytics APIs using natural language. This system addresses the limitations of Text-to-SQL by enabling non-technical users to access complex, governed data through APIs rather than raw databases. Analytic Agent translates user intents into API calls, validates permissions, and generates compliant visualizations, demonstrating reliability on 90 real-world enterprise use cases. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables non-technical users to securely access governed enterprise data through natural language, potentially improving business intelligence workflows.

RANK_REASON Academic paper detailing a new LLM system for enterprise analytics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Shashi Bhushan TN ·

    Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs

    Enterprise analytics aims to make organizational data accessible for decision-making, yet non-technical users still face barriers when using traditional business intelligence tools or Text-to-SQL systems. While recent Text-to-SQL approaches based on Large Language Models (LLMs) p…

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