New Podcast Series Episode #2
Episode 2 Recap: “AI Governance—Your Foundation for Confident Innovation”
In Episode 2 of The Conversation with Model Mind AI, CEO Loren Horsager joins host Angela Schultz to demystify AI governance and explain why it’s not just for legal teams or IT departments. It’s about everyone—from HR to customer service—understanding what tools are safe to use, how data flows, and how to make responsible, innovative decisions.
Key Insights:
- Governance = guardrails, not handcuffs. It’s about managing risk while empowering people.
- Good policy starts with open dialogue across departments.
- Companies already using AI—often without a clear policy—are at serious risk.
- Transparency with employees and customers builds trust and strengthens your reputation.
Tools You Can Use:
- AI Policy Planner: A simple, 4-page framework to assess tools, data, and risk—ready to download.
- AI Readiness Assessment Tool: A high-level guide to help you benchmark your organization's preparedness and prioritize next steps.
Next week, the conversation continues with Track 2: People & Training. Don’t miss it!
Listen Here:
the Conversation with Model Mind AI | Podcast on Spotify
the Conversation with Model Mind AI Podcast on Amazon Music
the Conversation with Model Mind AI - Podcast - Apple Podcasts
Episode 2: AI Governance — What It Is, Why It Matters
In this episode of The Conversation with Model Mind AI, Angela Schultz and CEO Loren Horsager break down what AI governance really means. They explain how companies can balance innovation with responsibility, why governance is not just legal red tape, and how every team member—from HR to IT—has a role to play in AI success.
Why Governance Matters
Angela introduces the topic by likening governance to the blueprint and guardrails of a bridge—an essential structure for crossing safely and confidently. Loren reinforces that most teams are already using AI tools, even without formal policies. Without proper governance, companies expose themselves to serious data risks.
Governance as a Catalyst, Not a Bottleneck
The discussion emphasizes that AI governance isn’t about red tape. Instead, it creates clarity, confidence, and cross-team momentum. When people know what tools they can use and how, innovation accelerates.
What Employees Need to Know
Angela and Loren agree that governance must be communicated organization-wide—not just within legal or IT departments. From customer service to sales to HR, everyone should understand what’s acceptable and where guardrails exist. This shared understanding builds trust and aligns decisions with strategic goals.
Evaluating Tools in a Rapidly Changing Landscape
Loren shares that new AI features are constantly being added to tools already in use. Without continual policy review, companies can unknowingly put sensitive data at risk. He stresses the importance of defining what data is being used, where it’s going, and how it's stored.
How to Get Started with AI Governance
Loren recommends three simple first steps:
1. Ensure you're using paid versions of AI tools to retain data control.
2. Use Model Mind’s free AI Policy Planner to assess risks and document decisions.
3. Review your policies quarterly—or whenever a tool changes its data terms.
Governance as a Strategic Advantage
Angela and Loren close with an important insight: governance isn’t just about avoiding risk. It’s a strategic lever for growth, operational clarity, and customer trust. It helps companies evaluate tools, workflows, and automations more effectively, and gives employees the confidence to act.
Prompt of the Week
Angela shares a practical prompt to help teams begin the governance conversation:
"Act as an experienced AI governance advisor. We’re having coffee—I want your candid advice. Ask me thoughtful questions. Share real-world examples. Help me think through how to start an AI governance approach for my business."
Use this prompt in ChatGPT, Copilot, or Gemini to spark thoughtful internal dialogue.