From connected data.
To a report you can deliver.
Follow five steps with a synthetic reporting example. This is a website illustration, with no app session, live AI or data connection.
An approved dataset is the starting point.
Connect an authorized source and inspect the fields before designing. The real application supports configured database, file and REST data connections.
- DatasetMonthly sales
- FieldsMonth · Region · Revenue
- BoundaryUse authorized data only
Start from a useful structure.
Choose a template, a supported Figma import or a blank report. Decide where the headline measures, chart and supporting records belong.
- SummaryRevenue KPI
- AnalysisMonthly comparison
- Supporting detailRegional table
Give every component its data.
Assign the relevant dataset and fields to each visual. Review aggregation and formatting against your report definitions.
- Chart categoryMonth
- Chart measureRevenue
- Table columnsRegion · Revenue
Inspect the proposal before keeping it.
Use your configured local or cloud AI to assist with the task. Review its suggested structure, bindings and calculations.
- Application hostingHosted or on-premises
- AI inferenceConfigured independently
- Final decisionYour review
A finished report needs a final check.
Inspect the report and its output with representative data. Actual report design, save and export happen in the separate application.
- ReviewValues · Layout · Permissions
- OutputPDF · Excel · Word
- Next stepTry it with your own use case
Step 1 of 5: Connect data
Illustrative tour. Explore the standalone sample reports, or request access to evaluate the real application.