#358 Why 95% of AI Projects Fail and How to Succeed
From Embracing Digital Transformation by Dr. Darren Pulsipher
June 11, 2026 · 30 min · Episode 358
About this episode
Dr. Darren and Michael Chavira discuss the reasons behind the high failure rate of AI projects and how to ensure successful implementation.
Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. Host **Dr. Darren** sits down with **Michael Chavira**, co-founder and managing partner of **Axiologic**, to unpack the real reasons **AI projects fail**. From AI governance and workflow redesign to training, adoption, and ROI, this conversation shows why successful **AI implementation** is rarely a plug-and-play solution—and why people, process, policy, and technology all have to move together. ## Key Takeaways - **AI amplifies existing systems**: If your workflows are broken, AI will usually make the problems bigger, not better. - **Start with AI maturity assessment**: Before buying tools, determine where your organization is actually ready for AI adoption. - **Fix the process first**: Many AI failures come from outdated workflows, poor training, and disconnected tools. - **Governance matters**: Clear AI policies, data protection rules, and shadow AI controls are essential for organizations. - **Pilot before scaling**: Choose one use case, prove value, and measure ROI before rolling AI out across the business. - **Use AI to support people, not replace thinking**: The best results come from…
People in this episode
Host: Dr. Darren
Guest: Michael Chavira
Topics covered
- AI project failure
- AI implementation
- AI governance
- workflow redesign
- training and adoption
Keywords
- AI projects
- failure
- implementation
- governance
- workflow
- ROI
- adoption
Mentioned in this episode
Organizations: Axiologic, paidar.ai
Products: AI Augmented Teams
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