Description
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-management/ai-project-managers/
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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