Enhancing Conversational BI with a LangGraph-Powered AI Agent
Client Organization
The client is a US-based digital-first enterprise operating across eCommerce, marketing, and business intelligence functions. With teams spread across sales, marketing, finance, and operations, leadership relied heavily on data to make daily decisions. However, accessing insights required navigating dashboards, writing SQL queries, or waiting on analysts to create friction for business users, and slowing down executive decision-making.
The leadership team, particularly the CTO and Head of Analytics, wanted a smarter, more natural way for teams to interact with their data without sacrificing accuracy, governance, or scalability.
Project Brief
The client engaged Sigma to enhance an existing conversational analytics bot into a production-grade AI agent capable of answering complex business questions in plain English.
The goal was simple but ambitious. Enabling executives and business users to ask questions like “Show me monthly revenue trends for the last two years” and instantly receive accurate answers, validated SQL queries, and ready-to-use visualizations.
Behind the scenes, this required a robust AI workflow that could manage context, understand databases, generate accurate queries, select the appropriate charts, and scale across datasets without breaking down when questions became complex.