Welcome to the PMO Strategies Podcast + Blog, where PMO leaders become IMPACT Drivers!

PMI Talent Triangle: Business Acumen

AI is rapidly transforming how organizations plan, prioritize, and execute projects. Yet while the promise of AI is exciting, many companies are diving in without a clear strategy—leading to confusion, inefficiencies, and missed opportunities. 

In this post, we’ll explore the insights from my latest conversation with Tim Goodman from Sciforma, where we discuss how PMO leaders can shift from reacting to AI trends to proactively preparing for AI-driven decision-making. 

The AI Adoption Problem in Project Management 

Too many organizations are rushing to adopt AI without first addressing a fundamental issue: data readiness. 

AI is only as powerful as the information it processes. If an organization’s data is disorganized, inconsistent, or lacking governance, AI-driven insights will be inaccurate and ineffective. 

🔥 “Executives still want a human in the loop when making big decisions.” – Tim Goodman 

📊 Key takeaway: Before investing in AI tools, organizations must first ensure their data is structured, high-quality, and governed effectively. 

AI’s Role in Decision-Making—Not Replacing It 

There’s a common fear that AI will replace human decision-making, but the reality is quite different. AI can process massive amounts of data at incredible speeds, but it still requires human expertise to interpret and apply insights strategically. 

AI can support project management in several ways:  
✅ Automating repetitive administrative tasks 
✅ Providing real-time insights for faster decision-making 

✅ Identifying trends and risks early in the project lifecycle 

However, AI should be seen as an enhancer, not a replacement. The best results come when AI is integrated into workflows alongside human expertise. 

How PMO Leaders Can Take Action Today 

If you’re looking to integrate AI into your strategy, here’s where to start: 
1️⃣ Audit Your Data – Before AI can be effective, you need clean, structured, and well-governed data. 
2️⃣ Identify AI Use Cases – Focus on AI applications that enhance decision-making rather than trying to automate everything. 

3️⃣ Develop an AI Governance Plan – Ensure AI tools align with organizational objectives and ethical guidelines. 

Real-World Applications of AI in PMOs 

Some of the most exciting AI applications in project management include: 
🚀 Predictive Analytics: AI can forecast project risks, helping teams mitigate issues before they arise.  
📊 Automated Resource Allocation: AI-driven insights can ensure the right people are assigned to the right tasks based on their skills and workload.  

📌 AI-Powered Meeting Assistants: Automating note-taking, summarization, and action item tracking to improve collaboration efficiency. 

If AI is integrated strategically, it can accelerate strategy execution and drive higher business IMPACT. 

 👉 Press play to learn how you can adopt AI-driven project management into your own practices. 

Connect with Tim Goodman

Connect on LinkedIn
Learn more about Sciforma 
 
 
 
 
 
 
 
 
P.S. Too many organizations deliver projects without driving real business value. On April 8th at 12 PM EST, I’ll be teaming up with Sciforma to uncover the hidden gaps that derail strategy execution—and show you how to bridge the divide between leadership vision and real results. 🔥 Save your spot for free now!
 

 

Thanks for taking the time to check out the podcast!

I welcome your feedback and insights! 

I’d love to know what you think and if you love it, please leave a rating and review in your favorite podcast player. Please leave a comment below to share your thoughts. See you online!

Warmly,

Laura Barnard

 

 

GET NOTIFIED ABOUT NEW EPISODES

TELL US WHAT YOU WANT TO LEARN

PDU REPORTING INSTRUCTIONS