Engage 𝗔𝗜 ����𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀 on your projects. Most project managers are still treating AI like a fancy search engine. The ones winning right now? They're treating it like a stakeholder. You see, Agile was built around people, feedback loops, and adaptive planning. But guess what? AI processes feedback. It adapts. It informs decisions. If your framework already treats retrospectives and sprint reviews as stakeholder touchpoints, AI belongs in that same conversation. Ok, how do you actually do this? 𝙂𝙞𝙫𝙚 𝙮𝙤𝙪𝙧 𝘼𝙄 𝙨𝙩𝙖𝙠𝙚𝙝𝙤𝙡𝙙𝙚𝙧 𝙖 𝙣𝙖𝙢𝙚 (𝙮𝙚𝙨, 𝙨𝙚𝙧𝙞𝙤𝙪𝙨𝙡𝙮). Call it Allison. Alex. Whatever. Naming it forces your brain to engage with it intentionally, not casually. Then manage it like any other stakeholder — 🟣 𝗪𝗵𝗮𝘁 𝗱𝗮𝘁𝗮 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗻𝗲𝗲𝗱? 🟣 𝗜𝗻 𝘄𝗵𝗮𝘁 𝗳𝗼𝗿𝗺𝗮𝘁? 🟣 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗺𝗮𝗸𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀? 🟣 𝗪𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝘁𝗵𝗮𝘁 𝗮𝗳𝗳𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁? Build these into your sprint planning. Add it to your RACI. Reference it in your comms plan. Agile in the AI era isn't about replacing ceremonies. It's about expanding who, and what, sits at the table. 𝚁̲𝚎̲𝚖̲𝚎̲𝚖̲𝚋̲𝚎̲𝚛̲... The PMs who thrive won't be the ones who use AI the most. They'll be the ones who manage it best. 📌 So, how are you engaging AI stakeholders on your projects? [𝘚𝘩𝘢𝘳𝘦 𝘺𝘰𝘶𝘳 𝘵𝘩𝘰𝘶𝘨𝘩𝘵𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴.] #ArtificialIntelligence #ProjectManagement #Agile
According to me - Treating AI as a stakeholder is a start; AI Agile goes further, AI becomes part of the system itself, co-creating decisions with accountability, ethics, and continuous learning.
Oliver Yarbrough, M.S., PMP®, thought-provoking discourse. See an attached example of a team RACI w/AI stakeholders.
I discuss this topic and more in my, "𝘼𝙧𝙩𝙞𝙛𝙞𝙘𝙞𝙖𝙡 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 𝙛𝙤𝙧 𝙋𝙧𝙤𝙟𝙚𝙘𝙩 𝙈𝙖𝙣𝙖𝙜𝙚𝙧𝙨" course. ► View here - https://tinyurl.com/3365x42r