AI analytics dashboards that answer questions in plain language: natural-language querying, automated insight summaries, and anomaly flags over your metrics.
Dashboards answer the questions you predicted
Traditional dashboards freeze last quarter's questions into tiles. The question that matters today, why did ROAS dip on Tuesday, which accounts drove the change, sits between the tiles, waiting for an analyst with a free afternoon. A natural-language layer over governed metrics answers it in seconds instead.
What we build
- Natural-language question answering over your governed metrics
- Automated plain-language summaries of what changed and why
- Anomaly detection that flags shifts before someone notices in a meeting
- The modeled metrics layer underneath, because that is what makes answers true
How we work
Model and govern the metrics first; AI amplifies whatever it sits on
Constrain generation to the semantic layer so answers stay computable
Show the query and chart behind every answer for trust
Start with one team and their real questions, then widen
Typical stack
Frequently asked questions
Those features work when your data is modeled and governed, which is precisely the work most stacks have skipped. We build the semantic foundation and then the AI layer, whether that layer is a native BI feature or a custom interface.
Any system can, so ours show their work: the generated query and underlying chart accompany every answer, and generation is constrained to governed metric definitions rather than free-form SQL over raw tables.