KB DocuMira
Document OCRProcesses documents, extracts text, identifies relevant data and helps classify it within organised workflows.
View productKB DatoLens
Conversational business analytics using real data
KB DatoLens lets you ask about sales, operations, projects or indicators and receive answers connected to real databases.
Real processesIntegrationsHuman oversight
Integrable Cloud + AI
AI Agent in Action
KB DatoLens
Foundation validated with real data
Azure SQL + Azure OpenAI
Voice and reporting support
Designed for real data
Operational problem
Where this agent creates value
Many businesses have data but lack timely answers. Teams depend on analysts, spreadsheets or static reports, delaying decisions.
What it does KB DatoLens
- Connects to business databases.
- Interprets business questions in natural language.
- Queries authorised information.
- Returns concise, actionable answers.
- Supports reports, alerts or recurring queries.
Workflow
From initial contact to a traceable outcome
The workflow keeps clear steps for operating, auditing and improving the agent while maintaining control of the process.
- 1Definition of data sources
- 2Mapping metrics and permissions
- 3User query
- 4AI interpretation
- 5Secure execution on permitted data
- 6An explained, traceable answer
Architecture and integrations
Verifiable technical foundation
- Azure SQL Database
- Azure OpenAI GPT-4o and GPT-4o-mini
- Azure Speech
- SendGrid
- Azure Functions
- ACR and Log Analytics
- Container Apps
Security and limitations
AI with professional judgement
- Respect role-based permissions.
- Do not query data that the user is not allowed to see.
- Avoid responding with fabricated data.
- Document metric definitions.
- Keep logs for auditing sensitive queries.
Use cases
Natural applications of KB DatoLens
- Executive questions about sales and receivables
- Project status
- Operational indicators
- Frequent internal queries
- Summary reports for management
Frequently asked questions
Does KB DatoLens replace an analytics team?
Not necessarily. It reduces operational workload and helps answer recurring questions, but decisions, advanced modelling and data governance must remain under human responsibility.
Can it respond with real-time data?
It can query connected, authorised sources. How close the data is to real time depends on the database, integration, permissions and update frequency.
What happens if the data does not exist?
The agent must state when it lacks sufficient information and avoid inventing answers. This rule must be implemented as part of the product design.
Connected suite
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View productLet's validate whether KB DatoLens fits your operations
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