GenAI:As an Admin, I should be able to track our Xray AI usage metrics

Description 
Currently, Jira Administrators do not have visibility into how users are leveraging AI powered Test Case generation features. Admins need the ability to track AI usage at a user level, including:

• Which user triggered AI-assisted test generation
• The prompt used
• Number of test cases generated per prompt
• Date/time of usage

This capability is critical for governance, auditing, usage optimization, and evaluating the value of AI components.

User friction
Administrators and managers have no way to understand:

• How widely AI features are being used
• Who is relying on AI to generate test content
• Whether prompts are appropriate and aligned with internal guidelines
• How much AI-generated content is being created over time

This leads to challenges in both accountability and reporting.

Steps to reproduce (right now) / Actual Result:

1. User opens the Xray AI Test Case creation feature.
2. User enters a prompt.
3. AI generates test cases.
4. No logs or usage history is available to Jira Admins.

Current system behavior: No audit trail, no visibility, no reporting.

IMPACT

What would improve if solved:

• Better monitoring of AI adoption and ROI
• Clear audit trail for compliance and internal reviews
• Ability to identify improper or low-quality prompts
• Improved team performance insights
• Supports governance, especially in regulated industries
  Impact on stakeholders:
• Admins: Gain full visibility and control over AI feature usage
• QA Leads / Managers: Can assess contribution and efficiency
• Compliance Teams: Ensure responsible usage of AI
• Developers / Product Teams: Receive insights for improving AI features
  Current workaround:
• Relying on self-reporting
• No automated or reliable method
• Cannot verify prompt quality or usage volumes
  CONTEXT & EXAMPLES:

Concrete example:

A QA engineer generates 50 test cases using AI from a single vague prompt.
Another engineer uses multiple structured prompts to generate smaller, more accurate sets.
Admins currently cannot compare these usage patterns, identify issues, or optimize workflow.

Workaround risk:

• No audit trail → compliance and quality risk
• Over-reliance on AI without monitoring → potential content inaccuracies
• Difficulty managing usage
• Reduced transparency for team performance