InsightEdge AI layers on top of your existing Power BI estate to add AI-driven anomaly detection, natural-language narratives, and driver analysis — so executives stop asking analysts "what changed and why?"
Where InsightEdge AI fits — Power BI estates that have grown beyond what manual interpretation can keep up with.
Most enterprise Power BI estates have hundreds of dashboards, thousands of tiles, and one persistent problem: executives can see what happened but not why. The result is a parade of ad-hoc analyst requests — "can you tell me why margin dropped in the West region?" — that should be automatic.
InsightEdge AI fixes that. It sits on top of your existing Power BI semantic models, watches KPIs in real time, and surfaces the drivers and anomalies behind every number. Each chart comes with a plain-English narrative explaining what changed, why, and what's worth investigating next.
This is augmentation, not replacement. Your reports stay where they are; the intelligence layer is what changes.
Layered design, production tooling, native Azure integration. Every component is one we use in shipping client systems — not a theoretical reference stack.
Outcome ranges are illustrative — based on structural economics of the problem and what comparable production systems achieve. Actual results depend on baseline maturity, data quality, and integration depth.
Our products are designed to compose. InsightEdge AI works standalone, but most enterprise engagements combine three or four — built on a shared data foundation and a single Azure tenant.
Tell us about your current setup and the outcome you'd want from InsightEdge AI. We'll come back within one business day with a path forward.