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How do you successfully manage AI projects with remote teams, from kickoff and planning all the way to validation, deployment, and ongoing improvement? In this Scopic webinar, Anton Sokoli (Principal Project Manager) breaks down remote AI delivery into 5 clear phases, sharing the protocols, tools, and lessons learned from running distributed AI initiatives. This session focuses on what actually makes AI projects succeed: clarity, data readiness, alignment, validation, and operational ownership, not just the model. What you’ll learn in this webinar ✅ How to plan and scope AI projects without getting stuck on “the model” ✅ How to define success metrics and avoid ambiguity early ✅ How to manage data readiness and reduce risk from day one ✅ How remote AI execution stays aligned (sprint goals, checkpoints, transparency) ✅ What validation and deployment should include (security, performance, UAT) ✅ How to keep AI useful post-launch (monitoring, retraining plans, feedback loops) ✅ Real examples of AI features in action: AI-assisted customer communication and AI “experts” in business workflows Key takeaway from the session AI projects succeed when they are treated like a business product, not a technical experiment. The hardest part is often alignment, process, and outcomes, not the technology itself. 🎤 Host: Tia Anggraeni (Recruiting Department Manager) 🗣️ Speaker: Anton Sokoli (Principal Project Manager) Learn more about Scopic: 🌐 https://scopicsoftware.com/ #AIProjectManagement #RemoteWork #AI #ProjectManagement #AIDevelopment #SoftwareDevelopment