One thing Im curious about with AI-assisted project management is what happens after the AI generates the initial work items. For example, an AI could take a requirement and generate: User stories Development tasks Test cases Risks BDD scenarios But generating these artifacts is only the first step. The more difficult part is keeping them connected and making sure the team can see what was generated, what was modified by a human, and what has actually been completed. Id be interested in a workflow where AI handles the initial decomposition, while the team validates the output and maintains traceability throughout development and testing. This is also why Im interested in platforms like Sharkly , where AI agents can participate in project workflows alongside human teammates rather than operating separately. https://sharkly.ai/ For those using SpiraTeam, how are you currently reviewing and tracking AI-generated tasks or requirements? Do you prefer AI to generate the initial work items only, or would you trust it to keep them updated throughout the project? en-US(C) Copyright 2006-2026 Inflectra Corporation.support@inflectra.com/Computers/Software/Project_Management//Computers/Software/Quality_Assurance/KronoDesksupport@inflectra.comhttp://www.inflectra.com/kronodesk/forums/threads120/Support/Forum/spirateam/issues-questions/3225.aspxthreadId=3225Dev luc (luc.dev01234@gmail.com) One thing Im curious about with AI-assisted project management is what happens after the AI generates the initial work items. For example, an AI could take a requirement and generate: User stories Development tasks Test cases Risks BDD scenarios But generating these artifacts is only the first step. The more difficult part is keeping them connected and making sure the team can see what was generated, what was modified by a human, and what has actually been completed. Id be interested in a workflow where AI handles the initial decomposition, while the team validates the output and maintains traceability throughout development and testing. This is also why Im interested in platforms like Sharkly , where AI agents can participate in project workflows alongside human teammates rather than operating separately. https://sharkly.ai/ For those using SpiraTeam, how are you currently reviewing and tracking AI-generated tasks or requirements? Do you prefer AI to generate the initial work items only, or would you trust it to keep them updated throughout the project? Wed, 02 Sep 2026 07:26:01 -04002026-09-02T08:30:21-04:00/Support/Forum/spirateam/issues-questions/3225.aspxmessageId=7710Victoria D (nino.diasamidze@inflectra.com) Hello, The trust model Id recommend: AI generates, humans promote. An AI-created item stays in a draft or pending review status until a human explicitly approves it. Updates proposed by AI go back into draft. That way the team always owns whats in the active workflow. Regards, Victoria - Wed, 02 Sep 2026 08:30:21 -04002026-09-02T08:30:21-04:00/Support/Forum/spirateam/issues-questions/3225.aspx#reply7710