We present a Business Intelligence (BI) application designed for Contract Management, leveraging Large Language Models (LLMs) and AI Agents to integrate information from Contract documents (PDFs) and Contract Management systems (databases) and provide actionable decision-support insights. At its core is IntelliAgent, an AI specialized agent that orchestrates a dynamic ecosystem of agents, including Retrieval-Augmented Generation (RAG), Text-to-SQL, and visualization agents. IntelliAgent also incorporates predictive analysis capabilities, offering actionable forecasts and relevant insights focused on strategic decision-making. The system enhances precision and relevance through Dynamic Prompt Engineering techniques, eliminating the need for LLM retraining. Our evaluation, focused on IT Contracts, highlights the system’s effectiveness in improving response relevance and supporting complex contract analysis tasks, demonstrating its transformative potential in the BI domain.

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Business Intelligence for Contract Management Using Large Language Models and AI Agents

  • Antony Seabra,
  • Claudio Cavalcante,
  • Gabryel Medeiros,
  • João Nepomuceno,
  • Nicolaas Ruberg,
  • Vitor Sallenave,
  • Sergio Lifschitz

摘要

We present a Business Intelligence (BI) application designed for Contract Management, leveraging Large Language Models (LLMs) and AI Agents to integrate information from Contract documents (PDFs) and Contract Management systems (databases) and provide actionable decision-support insights. At its core is IntelliAgent, an AI specialized agent that orchestrates a dynamic ecosystem of agents, including Retrieval-Augmented Generation (RAG), Text-to-SQL, and visualization agents. IntelliAgent also incorporates predictive analysis capabilities, offering actionable forecasts and relevant insights focused on strategic decision-making. The system enhances precision and relevance through Dynamic Prompt Engineering techniques, eliminating the need for LLM retraining. Our evaluation, focused on IT Contracts, highlights the system’s effectiveness in improving response relevance and supporting complex contract analysis tasks, demonstrating its transformative potential in the BI domain.