Imagine describing in natural language which test data you want to analyze - and just minutes later, you receive a complete, interactive dashboard with statistical evaluation, threshold analysis, and meaningful visualizations. No manual scripting, no hours of data preparation.

 This is exactly what the combination of Peak Test Data Manager (PeakTDM), the ASAM ODS Standard, and modern AI agents such as Microsoft Copilot or Anthropic Claude enables. 

The following outlines a typical analysis workflow:

Data Import and Verification: The agent connects to the data management system, retrieves measurement data and metadata, and automatically verifies for missing or inconsistent values. Key KPIs such as minimum, maximum, and average are already included in the dataset thanks to PeakTDM - serving as the foundation for all subsequent analyses.

Data Analysis: Based on your specifications, the agent automatically identifies measurement values that exceed defined thresholds and flags them as outliers. It also calculates relationships between measurement channels and explains them clearly, for example: "Strong positive correlation between engine speed and exhaust temperature (r = 0.92)."

Visualization: Insightful charts with proper axis labels, units, and gridlines are generated automatically - either as customizable Jupyter Notebooks or ready-to-use image files.

HTML-Dashboard Creation: All results are consolidated into an interactive dashboard, including charts, statistical tables, and visually highlighted outliers. The dashboard is available in the browser at the click of a button and can be shared as a web app across teams.

Like writing a specification, you describe in natural language what the agent should accomplish – the prompt.

The AI agent works like a skilled team member: it generates code, asks clarifying questions if needed, and independently executes the task—from database query to final dashboard.

No programming skills required.