Analytics · Ask your data
AI Data Analyst
Answers questions from your data, and shows its working.
The answer to a simple business question sits in a warehouse only two people can query. Both are busy. So decisions get made on last quarter's dashboard or on a hunch, and the number nobody checked turns out to be wrong.
What it does
Three things it takes off your team.
A plain-English question answered in seconds, without waiting on an analyst's queue
The exact query and logic shown alongside every answer, so it can be checked, not trusted blind
Your data stays in your warehouse — the agent reads it in place, nothing is exported
How it works
Three steps, then it runs.
Connect the warehouse
Link your data, read-only. The agent learns your tables and definitions so it answers in your terms.
Ask in plain language
Type the question like you would ask a colleague. The agent translates it into an accurate query against your real schema.
Get the answer and the working
It returns the number or chart with the exact query it ran, so anyone can audit how the answer was reached.
Point it at
- Self-serve reporting
- Ad-hoc data questions
- Revenue and cohort analysis
- Operations monitoring
- Board-pack figures
Who this is wrong for
Trust here depends on clean data. If your source tables contradict each other and nobody owns the definitions, the agent will answer faithfully from a mess. Fix the warehouse first, or scope the work to the tables you trust.
Will it reach production on your workflow?
Six questions, scored out of thirty, against what actually stops automation reaching production. The result is immediate, no email required, and it will sometimes tell you not to hire us.