How do you set up approvals when an AI agent needs to deny bug reports?

Setting up approvals for an AI agent denying bug reports requires a robust human-in-the-loop workflow. First, when the AI identifies a report as invalid or duplicate, it doesn't deny it outright but instead flags it with a denial recommendation. This triggers an automated approval process, routing the specific report to a designated human reviewer, such as a QA lead or product manager. The AI must provide clear reasoning and supporting evidence for its proposed denial, enabling the human to make an informed decision. The reviewer then has the option to

. All decisions, especially overridden ones, should feed back into the system to refine the AI model's accuracy and ensure proper governance. This layered approach ensures efficiency while maintaining critical human oversight for complex or nuanced bug reports.