Every team has its own version of the numbers.
Sales, finance and operations each calculate the same KPI their own way. Meetings start with whose number is right, and simple questions wait days for the data team.
- Two dashboards, two numbers for the same KPI
- KPI logic buried in SQL and spreadsheets
- Simple questions queued for analysts
- AI chatbots that guess what a KPI means
Define, answer, check with review.
We turn each KPI into one governed definition, agreed with finance and the business owner.
- One definition per KPI
- Versioned in Git
- An owner for every metric
People ask in plain language where they already work. The agent answers from the governed definitions.
- Number, chart and explanation
- Query and definition shown
- Your access rights apply
It builds dashboards from the same definitions and flags any tile that drifts from them.
- Dashboards from governed KPIs
- Mismatches flagged
- Fixes approved by an analyst
For each KPI, agreed with finance and versioned in Git.
Every answer shows the query and the definition behind it.
An analyst approves every change to a definition or dashboard.
Questions we hear
How is this different from a chatbot on our data?+
A generic chatbot writes its own SQL and guesses what a KPI means. AI Analyst only uses the definitions you approved, and shows the query and definition with every answer.
Does it change dashboards on its own?+
No. It proposes each change, and an analyst reviews and approves it.
Which tools does it work with?+
It connects to your warehouse or lakehouse, your BI tool and the channels your teams already use, such as Slack or Microsoft Teams. We confirm your stack during scoping.
Where does the model run?+
On the AI service already in your cloud account: Amazon Bedrock, Snowflake Cortex, Databricks Agent Bricks or Vertex AI. On-premises, we host open-source models on your infrastructure.
Who can see which numbers?+
Each query runs with the asker’s own access rights, so people only see data they are already allowed to see.
Can we add it to a running platform?+
Yes. It can be part of a Production Sprint or added to a platform that’s already live.
Where does it run, and who controls it?+
Everything we build for you is yours: pipelines, data models, infrastructure code and documentation, in your own cloud account and repositories. Our agents and accelerators come with a licence that keeps working even if you stop working with us. If you need full source access, we offer that too.
Stop debating whose number is right.
Tell us which platform and BI tool you run.