The risk of direct access
Connecting an LLM to credentials or physical schemas combines experience, permissions, and execution in one layer that is hard to control.
- Queries outside the expected scope
- Inconsistent definitions
- Incomplete traceability
Chat with business data
Talk to your data without handing control to a chatbot
Rumbleo separates conversation from analytical execution. The assistant can request information, while the platform decides who is asking, which tools are available, and how each query is validated.
No direct assistant access to the connector
Shared semantics across the web and authorized channels
Answers over internal data through read-only access
How Rumbleo separates concerns
The assistant requests analysis through governed capabilities while the platform retains control over identity, policies, and execution.
- Real session and tenant
- Semantic model
- Query validation
Where conversation can happen
The same governance foundation can support the web and approved external clients without exposing the analytical connector.
- Rumbleo web
- MCP-compatible clients
- Organization-approved integrations
A conversation that preserves context
Follow-up questions reuse the period, segment, and criteria already agreed instead of starting from scratch.
First question
“How did sales change this quarter?”
Rumbleo identifies available metrics and dimensions and requests clarification when the scope is ambiguous.
Follow-up
“Which regions explain the change?”
It keeps the period and investigates through the regional dimension defined in the model.
Decision
“Where should the team investigate first?”
It summarizes changes supported by the results and separates observed facts from possible hypotheses.
Explore the experience and its governance
Frequently asked questions
Does Rumbleo connect the LLM directly to the database?
No. Access passes through governed layers that resolve identity, policies, semantics, validation, and read-only execution.
Can it be used from ChatGPT or Claude?
The architecture supports authorized external clients through governed tools. Specific availability depends on the organization's configuration and policies.
Can every user ask for the same data?
Users work within the data available to their tenant and according to their role and policies resolved from the session.
A demo built around a decision
Design a useful chat over your data
We will review the data you want to query, who may access it, and how recurring questions can become a governed experience.
We will start with a real question from your team