“Our BI works. We want to talk to it.”
The AI Analyst
Ask your data anything in plain English, in Slack or on your dashboards, with sources shown. Every install starts with a foundation check, because an AI analyst is only as good as the layer underneath it.
Who it's for
Your dashboards answer the questions you already knew to ask.
A dashboard is a fixed set of answers. The moment the question changes, someone has to go build something, and by the time it lands the meeting is over. Most of the questions that actually matter are the ones nobody thought to put on a screen.
The AI Analyst sits on top of your governed numbers and answers those in plain English, at the moment you think of them, with the sources behind every answer shown.
Two ways to use it
Ask it, or let it tell you.
Ask
Questions in plain language, answered from the modeled data. In Slack, on your dashboards, or wherever you already work. Every answer shows what it was built from, so you can follow any number back to the system it came from.
Be told
Watchdogs on the numbers you cannot afford to miss. You describe the situation once, in your own words, and we configure the check. When it trips, you hear about it before it costs you.
The gate
Every install starts with a foundation check.
This is the part most vendors will not tell you. An AI analyst is only ever as good as the layer underneath it. Point a capable model at ungoverned data and it will answer confidently and be wrong, which is worse than no answer at all, because a wrong number that looks right gets acted on.
So before we install anything we check what is underneath. If your foundation is ready, this is a short engagement. If it is not, we will say so before you spend, and the honest next step is The Foundation Build or BI Rescue first.
Don't take our word for it
Governed data increases AI accuracy by 4.5x.
Anthropic published how they automated 95% of their own internal business analytics. Without a governed data foundation, curated definitions, and maintained context underneath it, the same model answered correctly just 21% of the time. The model was never the differentiator. The layer under it was.
Read Anthropic's write-up →How it works
What actually happens.
The foundation check
We look at how your metrics are defined today and whether they reconcile to their sources. You get a straight answer about readiness before any install.
Wire it to the governed layer
The analyst reads your modeled, tested numbers. It is not trained on your data and it does not invent definitions. It uses the ones a human already signed.
Put it where you work
Slack, your dashboards, or both. The point is that asking is easier than opening a report, or the habit never forms.
Set the watchdogs
Describe the situations worth interrupting you for. We configure each check so you find out before it costs you rather than at month end.
What it costs
Scoped after the foundation check.
Pricing depends on what the foundation check finds, because installing on a governed foundation is a short engagement and building that foundation first is not. Either way you get the readiness answer before you commit to anything, and the free roadmap is the fastest way to start that conversation.
Find out whether your foundation is ready.
The free roadmap shows what you're running on today and what an analyst on top of it would need.