Your Data Should Answer
Follow-Up Questions Too.
Dashboards answer the questions you thought to ask. Conversational BI answers the questions you have right now — including every follow-up, drill-down, and what-if that comes after.
Built for enterprise teams on Power BI, Microsoft Fabric, Snowflake, and Azure who are tired of static reports.
Traditional BI Dashboard
Conversational BI by Sunflower Lab
A Conversation with Your Data
Watch how context carries across questions — exactly like talking to a colleague who knows your business.
Conversational BI — What Makes It Different
Traditional BI tools answer the questions you thought to ask when you built the dashboard. Conversational BI answers the question you have right now — and the follow-up after that, and the one after that.
The difference is context. Every question in a conversational BI session is aware of what came before it — like talking to a colleague who was in the room for the whole meeting, not someone handed a brief 10 minutes ago.
We build this on top of your governed Power BI semantic model, so every answer — however deep the conversation goes — is still traceable back to your verified business definitions.
What your teams can do with it.
Conversational BI isn't a single use case — it's how every department gets answers without ever filing a request.
Board-ready numbers without the wait
Drill into revenue, margin, and cost in real time. Ask follow-up questions mid-meeting without waiting for a post-meeting report from the BI team.
Root-cause conversations, not just metrics
Ask about cost overruns, then drill to facility, then to line, then to shift — all in one conversation thread, no new report required at each step.
Pipeline analysis without RevOps
Start with territory performance, drill to rep, then to deal, then to next action — without waiting on a Salesforce report or bothering RevOps.
Billing and claims conversations
Trace denial patterns from payer to code to provider — in one conversation that retains which payer and period you're investigating throughout.
Shift-level ops without the IT queue
Ask about production efficiency, then drill to shift, then to machine, then to maintenance history — all without a single ticket to the data team.
Spend less time on ad-hoc, more on strategy
Let business users have their own conversations with data. Your team focuses on the governed model and high-value analysis — not fielding the same questions weekly.
From first question to deep insight — in one session.
Conversational BI isn't just NLP on top of a database. It's a governed session layer that understands where you've been in the conversation and where you're trying to go.
You open with any business question
No SQL. No navigating to a specific dashboard. Type in plain English — "How did we perform against targets last quarter?" — and the session begins.
The engine maps it to your governed data
Your question is resolved against your Power BI semantic model — using your actual DAX measures, business rules, and RLS policies — not a generic AI inference.
You get a verified answer with context stored
The answer comes back as a chart, table, or summary. Critically — the session layer stores what you asked, what entities were involved, and what filters were applied.
You ask a follow-up — context carries automatically
"Why did the West underperform?" doesn't need you to restate what you mean by West, which period, or which metric. The session already knows. Follow-ups are as fast as the first question.
Every step is validated and secured
Each turn of the conversation passes through the same validation layer — RLS enforced, query checked, access verified — before any data is returned. Going deeper in a conversation doesn't bypass governance.
What changes when your data talks back.
From manufacturing ops to healthcare finance — results from teams that replaced their BI bottleneck with conversational analytics.
The ability to ask follow-up questions changed everything. Before, every drill-down meant another ticket. Now our ops directors just keep asking until they have the root cause — all in one session.
Our finance team used to request 4–5 reports per board meeting cycle. Now they run the entire analysis themselves in one conversation. The context retention is what makes it feel like a real analyst, not a query tool.
We were sceptical about governance holding up across multi-turn questions. It does. RLS is respected at every turn, and the answers stay grounded in our Power BI model no matter how deep the conversation goes.
Common questions answered.
Ready to have a real conversation with your data?
We'll map your current Power BI environment and show you exactly what a conversational BI layer would look like in your stack — in one 30-minute call.
No commitment. No sales pitch. Just a practical roadmap.
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