Insights use case
Build an AI data agent that answers questions over your own data
Ask in plain language, and your agent queries the warehouse, validates the numbers and returns a chart-ready dashboard — with the SQL it ran attached.
Works with
Works with the tools your team already uses
10x
faster ad-hoc analysis
0
dashboards to maintain by hand
100%
answers with a source trail
How the data analysis agent works
Ask a question
Type the question the way you'd ask an analyst — no SQL, no dashboard hunting.
Locate the data
The agent maps your question to the right tables, sheets or connector records.
Query and validate
It runs the query, sanity-checks row counts and reconciles totals before answering.
Deliver a dashboard
You get a shareable HTML dashboard, the underlying rows and the query that produced them.
What makes it different
Grounded answers only
Every figure traces back to a record the agent actually read — no invented numbers.
Charts, not CSV dumps
Results render as dashboards with KPIs, tables and trend charts your team can share.
Runs code when it needs to
The built-in sandbox lets the agent transform, join and aggregate data before reporting.
Scheduled reporting
Turn any question into a recurring Monday-morning report delivered to Slack or email.
Ask it anything
No workflow builder to learn. Talk to the agent the way you'd brief a colleague, and watch each step of its work in the thread.
What changed in revenue week over week, and which segment drove it?
Build a dashboard of pipeline by stage and owner for this quarter.
Find rows in this sheet that don't reconcile with Stripe payouts.
Summarise the top 10 accounts by expansion potential and why.
Everything the agent needs, built in
Isolated connections
Each user connects their own accounts — nothing is shared unless you say so.
Model choice
Pick fast, balanced or deep-reasoning models per agent and switch any time.
Triggers and schedules
Run on a schedule, on a new email or from a webhook — no babysitting.
Governed by default
Role-based access, audit logs and usage limits across the workspace.
Common questions
Does it need access to production data?
No. Connect a read-only warehouse user or a sheet; each user's connections are isolated.
Can I see the query it ran?
Yes — every step, tool call and query is shown inline in the thread.
Explore other use cases
Build your data analysis agent
Connect your tools, start from a template and have it running in an afternoon.