Find and Request Test Data with an AI Agent and XDM

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What if you could ask an AI agent to find the test data you need and request it for your target environment?

In this webinar, Christoph Stock of UBS Hainer shows how AI agents connect to XDM, our test data management and orchestration platform, through MCP. XDM helps teams find, prepare, and provision test data. Its capabilities include data masking, test data reservation, and synthetic data generation.

Agents can talk directly to XDM to query information, start processes, find and request test data, and read or change configurations.

We’ll walk through a realistic business scenario:

1. An agent-supported workflow creates a reusable configuration for generating and provisioning test data.

2. An AI agent uses XDM’s Test Data Finder to identify a suitable set of related business data.

3. The agent turns that selection into a test data request for the target system.

You’ll see how AI agents and XDM can simplify test data management, reduce manual work, and help teams get the data they need through natural language.

Attendees will learn:

• How AI agents connect to XDM through MCP

• How an agent-supported workflow creates a reusable configuration for test data generation and provisioning

• How the Test Data Finder helps an agent identify a suitable set of related business data

• How to turn that selection into a test data request for the target system

Presenter: Christoph Stock, UBS Hainer

This session is intended for test data managers, QA and test engineers, DevOps teams, and data platform owners who want faster, less manual access to the test data they need.