Applied AI1 min read10 June 2026

An analytics copilot that cites its work

A prototype for turning natural-language business questions into inspectable, source-backed analytical answers.

Problem

Business users needed faster answers without losing the definitions and controls encoded in the analytical layer.

Methodology

The prototype maps questions to governed metrics, generates constrained queries, and returns both the answer and its evidence trail.

Results

Users can inspect filters, data freshness, definitions, and query logic before acting.