Project Overview
We implement an AI-assisted analytics stack: NL→SQL for self-serve questions, automated forecasting and anomaly detection, and copilots inside BI to generate visuals and narrative insights—governed by your semantic layer.
Decision Latency
↓ 40–70%
Time from question → action
Forecast Accuracy
+6–15%
Ensembles & automation
Adoption
2–4×
More users self-serving via copilot
Security
RLS, encryption, audit logs, data retention
Scalable
In-warehouse compute; cache & scheduling
Decision-Ready
Narratives, thresholds, and action links