Available with: Copilot Studio
Information Technology scenario: Automated QA testing agent
Scenario
Using AI Agents to create a QA testing agent
Automate the detection of failures and the generation of actionable insights for faster debugging.
Generates context specific test data (tailored to user input/business logic/etc.) required for running tests.

Copilot Studio Agent
Ensures relevant test scenarios by generating tailored data aligned with business logic.
Executes the tests (unit, functional and integration) automatically using the generated test data.

Copilot Studio Agent
Accelerates QA cycles with consistent, automated test execution across environments.
Collects and analyzes error data and performance metrics from test logs, failure reports, and code analysis.

Copilot Studio Agent
Surfaces key failure signals and performance bottlenecks for immediate visibility.
Identifies failure patterns and links them to probable root causes for faster debugging.

Copilot Studio Agent
Connects the dots between test failures and underlying issues to speed up debugging.
Provides actionable insights for issue resolution based on the analysis.

Copilot Studio Agent
Delivers prioritized recommendations to resolve defects and reduce recurrence.
Creates detailed test reports based on the analysis.

Copilot Studio Agent
Produces clear, data-rich test summaries for dev, QA, and leadership stakeholders.
The content in this example scenario is for demonstration purposes only. You should evaluate how Copilot aligns with your organization’s business processes, regulatory requirements, and responsible AI principles.
What's next
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