9.1 - AI and Machine Learning in AIQ
AI and Machine Learning in AIQ — Knowledge Base articles.
AI and Machine Learning in AIQ
Recommended guidance
AI and machine learning features in AIQ should be documented with current product terminology and clear boundaries for supported use cases. Use AISG instead of Blueprint when referring to current AI-guided generation or analysis workflows.
What to cover
- Supported AI-assisted authoring, analysis, generation, or maintenance workflows.
- Required inputs, expected outputs, review steps, and human approval points.
- Data privacy, customer-data handling, and prompt hygiene expectations.
- How AI-generated assets are validated in Scenario Editor, Service Suite, or reporting workflows.
Best practices
- Review AI-generated content before using it in customer-facing or production tests.
- Validate generated scenarios, services, assertions, and data with controlled runs.
- Do not paste secrets, credentials, or sensitive customer data into AI prompts or examples.
- Document limitations, assumptions, and required reviewer actions.
Last updated: October 7, 2026