Developed an AI-driven automated testing evaluation workflow for the packit/ai-workflows repository, targeting preliminary testing of RHEL Jira issues. The solution leveraged Python to integrate with the GitLab and Jira APIs, orchestrating a BeeAI ToolCallingAgent that analyzes test results from GreenWave gating and OSCI merge requests. This workflow automates the evaluation of CI outcomes, reducing manual quality engineering effort and accelerating release readiness. The implementation included new Python modules, extended Jira utilities, and updated CLI commands, all documented for user guidance. The work aligned with established CI/CD and audit practices, demonstrating depth in workflow automation and AI integration.