Most AI projects fail—but they don’t have to.
In this episode of the Dataliction podcast, John, Travis, and Jason Beutler break down why 95% of AI initiatives are missing the mark. They explore the real cost of poor implementation, the danger of closed models, and what it takes to truly integrate AI into daily operations. Jason brings powerful clarity on how to measure ROI, train teams, and ensure AI is actually solving business problems. If you want to move beyond hype and get to what works, this one’s a must.
Chapters
00:00 Introduction to AI and Purposeful Work
02:59 The Landscape of AI Projects
06:05 Integrating AI into Business Processes
09:02 Avoiding Common Pitfalls in AI Implementation
11:58 The Role of Leadership in AI Adoption
15:08 Understanding AI’s Limitations and Opportunities
17:43 The Future of AI Agents
20:52 Measuring ROI in AI Initiatives
23:53 Evaluating AI Tools and Solutions
26:41 Conclusion and Call to Action
The Dataliction Podcast—where data meets action. We break down analytics, share real-world stories, and give you the tools to turn your data into decisions that drive real growth. Follow us and keep the conversation going. Enjoy this episode? Leave a review and share it with someone who needs to hear it!
