A Multi-Agent Platform for Automated Enterprise Analytics and Insight Generation

Authors: Manoj N M, Vijayakrishna S, Manjunath Srinivas, Rohit Pahan | Published: 2026-08-19

2026.08.19

Authors: Manoj N M, Vijayakrishna S, Manjunath Srinivas, Rohit Pahan
Published: 2026-08-19

Source: https://arxiv.org/abs/2608.18740

PDF: https://arxiv.org/pdf/2608.18740

AIにより推定されたラベル

マルチエージェントシステム信頼性評価データ収集手法

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Abstract

This paper proposes a multi-agent framework built on CrewAI [1] for conversational business intelligence. Five specialized AI agents operate in a sequential pipeline to process natural language queries, retrieve and analyze data, generate visualizations via the Model Context Protocol (MCP) [2], and deliver actionable insights. The platform features a defense-in-depth security architecture for multi-tenant data isolation and a query parameterization mechanism for transforming conversational insights into reusable dashboard components. Evaluation across 300 end-to-end test cases spanning synthetic and production enterprise datasets demonstrates 95.3