Author: Florian Ivan PMP, IPMA B, DAC, DASSM, CSP
Generative AI is often used for answering questions, but in project management, it can be a powerful tool for solving complex problems and challenging your thinking. Here’s how project managers can use AI beyond simple inquiries.
Problem-Solving Partner
Instead of using AI to gather information, present it with project management challenges. Whether you're facing a tight deadline, resource constraints, or risks, AI can help break down these problems. For example, describe a project timeline and ask AI to identify potential bottlenecks, suggest risk mitigation strategies, or recommend resource optimization. The AI can analyze your project’s scope, dependencies, and risks, offering solutions you may not have considered.
Challenging Your Assumptions
AI can help sharpen your critical thinking by asking you thought-provoking questions. After outlining your project plan, ask the AI to challenge your strategy. It might ask, “What happens if a key milestone is delayed?” or “How will the team adapt to changing requirements?” These questions push you to rethink your assumptions, explore alternative approaches, and improve the overall project plan.
Stimulating Innovation in Project Delivery
Generative AI can also drive creativity in project management. By posing it complex scenarios—like managing a multi-disciplinary team across different time zones—you can receive fresh perspectives and innovative ideas. AI can suggest methods to enhance collaboration or ways to streamline workflows, sparking new ideas to improve project execution.
Should you wish to deepen your understanding of how AI can be effectively applied in project management, we would like to invite you to attend the 1-day masterclass on November 9th. This class has been designed to equip you with the knowledge, tools and insights that would allow you to put AI to work in real-life scenarios.
For further information and registration, please visit the event page.