Aurora BI: Ask Your Business Central a Question. Get an Actual Answer.

The problem with every BI tool we evaluated for Business Central clients was the same: they required someone who understood both the business question and BC's data model to build the report. That person is rare. That bottleneck is why most BC users make decisions with last month's data on a PDF someone exported.

Aurora BI exists because we decided to solve the translation problem at the source — not by training business users to understand BC's schema, but by training an AI to understand it for them.

Why Generic NLP Tools Struggle With BC Data

Power BI with natural language mode struggles with Business Central data for a specific reason: BC's schema is ERP-shaped, not analytics-shaped. The data a CFO wants — "gross margin by item category for Q1 compared to Q2, excluding intercompany" — requires joining G/L Entries, Item Ledger Entries, Item Categories, and Dimension Value Entries in a way that a generic SQL generator does not know how to do correctly without BC-specific context.

Aurora BI's core is a Knowledge Base — a structured representation of BC's domain model that tells the LLM not just what the tables are, but what they mean, how they relate, and what business logic governs correct joins. The Knowledge Base is built and maintained by AL developers who know BC at the schema level. The LLM uses it as context at query time.

How Aurora BI Connects to Your BC

Aurora BI connects to your BC SQL Server database for on-premises deployments or via BC's published API endpoints for cloud. Setup takes one day. Knowledge Base configuration for your specific chart of accounts and custom fields takes two more days. After that, every person in your finance and management team has a BC analyst on demand.