Collect
Web, public registers, your own documents.
Research & analysis: Bring sources and decisions together.
AI-assisted research that brings sources and decisions together: collect, compare, flag contradictions, write structured reports – once or as monitoring.
In short: Research & analysis provides evidence, not an opinion: sources, comparisons, contradictions and open questions. The assessment remains with people.
What the building block does
Tasks and limits.
Compare
Flag agreements and contradictions.
Structure
Report with sources, date and open points.
Monitor
Recurring, showing changes since the last update.
Prepare
Figures, tables, summaries for reports.
Hand over
Into MABEX, the CRM, reporting.
When does it fit?
Decision guide.
| Fits when | Doesn’t fit when |
|---|---|
| decisions need input from many sources | the answer is in one system |
| regular monitoring is needed | a one-off Google search is enough |
| sources are publicly or internally accessible | information only exists verbally |
In action
What working with it looks like.
Sample images from our visual library – the interfaces shown are illustrations, not client data.
Use cases
Where this building block is used.
Technology & products
What’s behind it.
Products only where they fit the task.
Model Routing
Public research uses an external model; internal analysis runs locally, depending on the data class.
View detailsMABEX
Research for feasibility studies and property brochures.
View details
Frequently asked questions
Frequently asked questions: research & analysis
Is it reliable?
Sources are named and contradictions flagged. We don’t promise completeness – the assessment stays with you.
External models?
For public data, yes; internal analysis runs locally.
How often?
As often as you set it in Studio.
Next step
Check research & analysis for your process.
The AI potential assessment checks this on a specific workflow – free of charge, with a clear recommendation.