Featured on Minerva Meets Podcast: The Human Side of Enterprise AI
TL;DRShort Answer
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, contact us, or book a free consultation to discuss your organization's AI journey.
Frequently Asked Questions
How can organizations make AI stick beyond pilot projects?
Making AI stick requires strategic training that builds real capability, governance frameworks that enable speed, new roles and structures that support AI at scale, focus on the human side of implementation, and clear connection between AI initiatives and business outcomes.
How does Elevate AI Consulting help with enterprise AI adoption?
We help organizations navigate AI adoption challenges through strategic training, governance frameworks, workflow automation, and advisory services. Our approach focuses on the human side of AI implementation, connecting initiatives to business outcomes, and making AI stick beyond pilot projects. Book a consultation to learn more.
What governance frameworks support AI at scale?
Effective governance frameworks enable speed while maintaining security and compliance. They should be light, flexible, and designed to support innovation rather than slow it down. Governance should include clear guidelines, human-in-the-loop review processes, and frameworks for safe development and deployment.
What is the gap between experimenting with AI and making it stick?
Many companies experiment with AI tools but struggle to demonstrate measurable business impact or scale beyond pilot projects. The gap exists because organizations focus on technology without addressing training, governance, change management, and creating structures that support sustainable AI adoption.
What is the Minerva Meets Podcast episode about?
The episode discusses 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. Topics include training, governance, new roles, and the gap between experimenting with AI and making it stick.
What new roles are emerging in AI-driven organizations?
As AI scales in organizations, new roles are emerging to support implementation, governance, training, and strategic alignment. These roles help bridge the gap between technology and business outcomes, support change management, and ensure AI initiatives connect to measurable results.
What topics are covered in the podcast episode?
The episode covers enterprise AI adoption challenges, why ROI is hard to capture, the human side of AI implementation, training strategies, governance frameworks, new roles in AI-driven organizations, and how to make AI stick beyond pilot projects.
What training strategies work for enterprise AI adoption?
Effective AI training goes beyond tool tutorials. It should build real capability across teams, focus on practical workflows, connect to business outcomes, and be part of a broader change management strategy. Training should be hands-on, customized to organizational needs, and designed to build confidence and competence.
Where can I listen to the Minerva Meets Podcast episode?
The episode is available on Spotify and Apple Podcasts. You can find both links in this blog post.
Who is Sonal Chandler from Minerva Meets?
Sonal Chandler is the host of the Minerva Meets Podcast, where she discusses enterprise AI, technology adoption, and organizational transformation with industry leaders and experts.
Why is ROI hard to capture with AI initiatives?
ROI is hard to capture because many organizations experiment with AI tools without connecting initiatives to clear business outcomes, lack proper training and governance, don't address the human side of implementation, and struggle to move beyond pilot projects to organization-wide adoption.
Why is the human side of AI important?
Technology is only part of AI success. The human side—training, change management, governance, and creating new roles—often determines whether AI initiatives succeed or fail. Most organizations underestimate the work required on the human side of AI implementation.