Dashboards answer anticipated questions
When a new question appears, users return to limited filters or join the data team's request queue
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Governed conversational BI
Ask your data and decide with context
Rumbleo turns your company's metrics into a useful business conversation. Teams ask in natural language, compare results, and investigate without waiting for a new report for every question
The same metric definitions for every team
Configurable agents for each business function
Permissions, limits, and usage monitoring
What conversational BI means
Conversational BI lets people analyze company data through natural-language questions and answers. Unlike a general-purpose chat, it uses the metrics, permissions, and rules already defined by the organization
The data team continues to define metrics and protect their quality. Rumbleo makes that work available to more people, who can explore causes, segments, and periods without requesting a new dashboard for every question
Beyond a dashboard and safer than a general-purpose chat
A fast answer only helps when the team can understand its foundation and trust that it respects company context
A general chat does not know your definitions
Without a business layer, terms such as active customer, margin, or churn may be interpreted differently in every answer
Direct access creates unnecessary risk
Rumbleo keeps the credentials, respects permissions, and limits data access to read operations
From question to a defensible readout
Every step preserves business language without giving up control of the data
- 1
Question
The user asks as they would ask an analyst
- 2
Context
The agent uses the conversation and relevant business definitions
- 3
Analysis
Rumbleo checks and runs a read-only query over authorized data
- 4
Decision
The answer combines figures, comparisons, and next steps when the data supports them
The same data, different questions for every team
Agents can adapt to each function's analytical criteria without creating incompatible versions of the metrics
Finance
“What explains the margin variance against plan?”
Compare periods, business units, and components before the close
Operations
“Where are cycle time, incidents, or cost per order increasing?”
Narrow the problem by site, supplier, category, or shift
Growth and product
“Which segment explains the change in conversion or retention?”
Explore cohorts, channels, and behavior without rebuilding the report
Leadership
“What changed and what needs attention this week?”
Summarize material signals and investigate them in the same conversation
Choose the approach that fits the question
Rumbleo complements existing BI assets when teams need to explore, interpret, and decide through conversation
| Criterion | Dashboard | General AI chat | Rumbleo |
|---|---|---|---|
| Interaction | Predefined views and filters | Open conversation | Analytical conversation |
| Definitions | Embedded in each report | Dependent on the prompt | Shared semantic model |
| Data access | Defined by the BI tool | Risky when connected without governance | Read-only, permissions, and limits |
| Specialization | Per dashboard | Loose instructions | Configurable agents by function |
Check the fit before the demo
AI data analyst
Natural-language analysis grounded in shared definitions
Chat with business data
Conversation without direct assistant access to the database
Governed analytics
Identity, permissions, semantics, limits, and traceability
Tools and alternatives
A sourced framework for comparing approaches and providers
Finance
Margin, budget, profitability, and variances
Operations
Service, capacity, incidents, and cost
Sales and growth
Pipeline, conversion, channels, and retention
Product
Activation, funnels, adoption, and cohorts
Use cases
Real questions by industry and function
How it works
Semantics, permissions, read-only access, and traceability
Rumbleo MCP
Governed analytics from compatible assistants
Pricing
Plans and approach comparison
Trust
Security, privacy, and documentation
Conversational BI frequently asked questions
How is conversational BI different from a chatbot connected to a database?
Governed conversational BI does not hand database control to the chatbot. It interprets questions through a semantic model, applies identity and permissions, validates the query, and limits execution to read-only access before returning results
Does Rumbleo replace Power BI, Tableau, or other dashboards?
Not necessarily. Rumbleo can complement existing reporting when teams need to ask new questions, investigate causes, or work through a conversational experience
Do users need to know SQL?
No. People ask in natural language and Rumbleo keeps the technical query out of the end-user experience. Authorized teams retain control of the semantic model and connections
Can every function have its own agent?
Yes. Agents belong to the company and can be configured with analytical instructions for each function while preserving common data governance, permissions, and usage controls
How is analytical data protected?
The analytical connection operates in read-only mode. The platform resolves identity and company from the session, applies policies and limits, and preserves execution and usage traceability
A demo grounded in your context
Start with a decision that takes too long today
Tell us the question, who needs the answer, and where the data lives. We will prepare a session around that journey, without generic promises
Your data stays under your organization's control