Featured on Minerva Meets Podcast: The Human Side of Enterprise AI

TL;DR
I was featured on the Minerva Meets Podcast discussing enterprise AI adoption, training, governance, and the human side of AI implementation. The episode covers why ROI is hard to capture, how to make AI stick in organizations, and the importance of training and governance. Available on Spotify and Apple Podcasts.
I'm excited to share that I was recently featured on the Minerva Meets Podcast, where I had the opportunity to discuss what's actually happening inside organizations as AI scales, why ROI is still hard to capture, and why the human side of AI matters more than most teams expect.
In this episode, hosted by Sonal Chandler, we dive deep into the real challenges companies face when implementing AI at scale—beyond the hype and pilot projects. We explore training strategies, governance frameworks, new roles emerging in AI-driven organizations, and the critical gap between experimenting with AI and making it stick.
What We Discussed on Minerva Meets
This conversation was particularly meaningful because it addressed the questions I hear most often from leaders:
Why is ROI Still Hard to Capture?
Many companies experiment with AI tools, but struggle to demonstrate measurable business impact. We discussed why this happens and what actually works when it comes to connecting AI initiatives to real business outcomes.
The Human Side of AI Implementation
Technology is only part of the equation. The human side—training, change management, governance, and creating new roles—often determines whether AI initiatives succeed or fail. This is where most organizations underestimate the work required.
Making AI Stick in Organizations
There's a significant gap between experimenting with AI and making it stick. We explored practical strategies for moving from pilot projects to sustainable, organization-wide AI adoption.
Training and Governance
Effective AI training goes beyond tool tutorials. We discussed how to build AI capability across teams, establish governance that enables speed (not slows it down), and create frameworks that support innovation while maintaining security and compliance.
Listen to the Full Episode
You can listen to the full conversation on your preferred platform:
🎧 Spotify: Listen on Spotify
🍎 Apple Podcasts: Listen on Apple Podcasts
I'm grateful to Sonal Chandler and the Minerva Meets team for having me on the show and for creating a space to discuss these critical topics in enterprise AI.
What This Means for Your Organization
If you're working on AI adoption in your organization, this episode covers many of the challenges you're likely facing—and practical approaches to solving them. The conversation emphasizes that successful AI transformation requires:
- Strategic training that builds real capability, not just tool familiarity
- Governance frameworks that enable speed while maintaining security
- New roles and structures that support AI at scale
- Focus on the human side of AI implementation
- Clear connection between AI initiatives and business outcomes
If you're interested in learning more about how we help organizations navigate these challenges, explore our AI consulting services, check out our case studies, or book a free consultation to discuss your organization's AI journey.