AI reporting for business teams

From your question to the right dashboard.

Describe the analysis you need. T-NEX Dynamic AI Reporting creates a dashboard based on your connected data. You can edit charts, check results and share analyses with your team.

Discuss reporting for your use case Explore the application

T-NEX Dynamic AI Reporting

Explore your business question as a dashboard.

From a report to the next question: create analyses, review results and share dashboards with your team.

The Result

Every AI-generated answer becomes a complete, decision-ready dashboard with charts, tables, and variance flags, ready to export or refine with follow-up questions.

Turn analysis into a complete visual output that's ready to review and act on.

Export

Export the full dashboard or select individual charts, choose the format and quality, and download clean visuals ready for any presentation or report.

Take exactly the visuals you need and use them anywhere.

Export dialog for a T-NEX dashboard, with layout, included elements, file type and quality options.

Share dashboards with the right people by role (Manager, Controlling, Admin) with view or edit access and control over which visualizations they can see.

Give every user the right level of access to the right information.

Share dialog for a T-NEX dashboard, showing view access by role: User, Manager, Controlling, Admin.

Published and Reusable Charts

Publish your dashboard and turn every chart into a reusable visualization. Bring any chart into another dashboard, so great work is built once and reused everywhere.

Build visualizations once and make them available wherever they're needed.

T-NEX AI Reporting Dashboards overview, listing published reports shared across the organisation.

In daily work

Turn your business question into a dashboard

For IT cost management and business teams that need to create reports and check how their figures were calculated.

T-NEX Dynamic AI Reporting translates a question into reporting logic. The generated application queries the connected data source and presents the result as charts, tables or metrics. Business users can then develop the dashboard further through the conversation or editor.

An initial question might be: “Show the largest budget variances by cost centre for the selected quarter.” A follow-up can narrow the period or add a cost category. The meaning of budget, value type and period must match the underlying data for the report to be meaningful.

Functions

How the application supports your team.

Dashboards through chat

A question describes the analysis you need. The resulting dashboard can then be edited.

Edit individual charts

The editor lets you adjust a chart’s title, data source and dimensions.

Four viewing modes

Switch between a mixed view, full visualisation, text view and focus view.

Organise reports

Folders group dashboards, while search finds charts by name, classification or description.

Share by role

Viewing and editing are granted separately. A link can lead directly to an individual chart.

Export images and PDFs

Export individual charts or the whole dashboard for use outside the application.

Overview

Create reports based on the data structure

In the schema-only approach, the model receives structural information and generates the reporting logic. The application accesses the records themselves. Report generation and processing of the underlying data can therefore be designed as separate steps.

AI interpretation of specific amounts or individual records requires a different information scope. We define which content may reach which model for each use case. A schema-only setup does not establish the data behaviour of every analysis function.

Overview

Understand and refine charts

The detail editor separates the data side from presentation. You can change titles, data sources, dimensions and display settings; a JSON editor supports advanced changes. Available visualisations include bars, lines, heatmaps, networks, process views, tables and metrics.

A visualisation can be attached as context to the next question. Chart annotations can mark a variance before a review meeting. This keeps the business question next to the analysis it concerns.

Overview

The right view for each analysis

Mixed view places the visualisation beside the conversation. Full visualisation view concentrates on charts and tables; text view foregrounds the written analysis. Focus view opens one chart for detailed work.

The presentation should serve the decision: a compact management overview, a table for checking individual entries or an annotated chart for investigating causes. These views provide different ways into the same analysis.

Overview

Organise recurring reports together

Folders group dashboards by work area, such as cost centres, personnel or investment. Search finds visualisations by name, classification and description. Shared dashboards provide a starting point for recurring questions.

Viewing and editing permissions are granted separately by role. A direct link can lead to one chart. Dashboards and individual visualisations can be exported as images or PDFs for presentations and use outside the application.

Overview

Introduce AI reporting into your environment

We first select a reliable data source and a report with a clear business purpose. Together we define the metrics, dimensions, time basis and control totals. The data connection, roles and permitted model connections are then configured.

Acceptance compares generated analyses with known results. It also covers empty datasets, incomplete sources and ambiguous questions. Only after this comparison is the report made available to further roles, with responsibility for interpretation and approval clearly assigned.

Inputs and outputs for the first report
Connection	Scope and status	Preparation
Data source	Database and file sources are included in the architecture. The application reads the approved source; the specific connection and refresh are configured.	Schema, fields, period, control totals and a known reference report.
AI model	Schema-only creation uses structural information. Content-based analysis needs a separately defined data scope.	Permitted model connection and decisions on processed content.
Sharing	Image and PDF export; separate read and edit permissions.	Recipients, roles and required output format.

The workflow

How we introduce the solution.

01
Agree the data source and business terminology.
02
Describe the required analysis as a question.
03
Check the query and visualisation against the source data.
04
Edit, share or export the dashboard.

What needs to be agreed before use

A generated dashboard does not establish that your data is complete or that a business interpretation is correct. Check the data scope and calculation before sharing the result.

FAQ

Questions about the solution

Which questions make a useful starting point?

Recurring analyses with clear definitions work well, such as budget variances, cost distributions or investment by organisational unit. An existing reference report helps validate the first dashboard.

Can we use existing databases and files?

The architecture supports database and file sources, including data from warehouses, ERP, core banking systems and Excel. We assess and configure the interface, scope and permissions for your source.

Can I change a generated chart myself?

Yes. You can edit its title, data source, dimensions and presentation. The conversation and advanced editor provide further ways to refine it.

Does a language model automatically see all bank data?

No. Access depends on the configured function. Schema-only creation uses structural information; permitted content and model connections are defined separately for content-based AI analysis.

Is a generated report automatically correct?

Generation does not replace checking the data scope, metric definitions and calculations. We validate reference cases and agree responsibility for business approval.

How do we share results?

Within the application, roles receive separate viewing and editing permissions and can use direct chart links. Image and PDF exports support further use.

Related options

Which task would you like to solve next?

Bring a concrete task. Together, we will define what the application needs to do.

Discuss reporting for your use case

From your question to the right dashboard.