AI Agents Are Coming: What Project Managers Should Know?
AI agents are moving from hype to real project work. In this session, Saket Bansal explains what AI agents mean for project managers, Scrum Masters, PMO leaders, and delivery professionals. We go beyond basic prompting and explore how AI agents can reason, use context, access tools, support workflows, and assist in project management activities. In this video, you will learn: ✅ What is an AI agent? ✅ How AI agents are different from simple automation and ChatGPT-style prompting ✅ Why project managers need to understand reasoning, memory, tools, and guardrails ✅ How Google Workspace agents can help in email response workflows ✅ How Atlassian Rovo / Jira agents can support backlog refinement and issue analysis ✅ How Make.com can be used to create simple personal AI agents ✅ Why governance, access control, testing, and human accountability are critical ✅ How the project manager role may evolve from managing only human teams to managing human + AI worker ecosystems The key message is simple: Project managers do not need to become AI engineers, but they must understand how AI agents work, how to guide them, how to validate their output, and how to keep them useful over time. 👉 Explore our AI for Project Managers program: https://www.izenbridge.com/project-ma... 🔔 Subscribe to iZenBridge for more videos on AI, project management, PMP, PgMP, Agile, Scrum, SAFe, and leadership skills. #AIAgents #AIForProjectManagers #ProjectManagement #ScrumMaster #PMO #ArtificialIntelligence #Atlassian #Rovo #MakeAutomation #GoogleWorkspace #AIInProjectManagement #izenbridge Chapters 00:00 Introduction: Why AI agents matter for project managers 03:01 Market signal: AI agents entering enterprise work 04:41 What makes an AI agent different from normal AI use?ols 10:26 Email agent example for daily work 16:39 Automation vs agentic workflow 24:52 Guardrails and accountability for project managers 30:06 How the project manager role is changing with AI workers 35:38 Atlassian Rovo and Atlassian Studio demo 45:46 Getting started with Make.com 50:32 Enterprise limitations and responsible AI usage 51:13 AI for Project Managers program overview 56:20 Program format and learning approach 1:06:22 Closing remarks

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