Episode 21 - AI Governance

Episode 21 - AI Governance

From Paul and Paul Podcast by Paul Papasavvas and Paul Varnedoe

May 17, 2026 · 14 min

About this episode

This episode discusses the importance of AI governance and practical steps organizations can take to implement it effectively.

If your organization is exploring or already using generative AI, this episode is a must-listen. Without proper governance, even the most promising AI initiatives can quickly lead to sensitive data leaks, surprise six-figure bills, compliance violations, or outputs that erode customer trust. Gartner predicts that up to 40% of agentic and advanced AI projects will be scrapped by 2027 due to governance gaps. We sat down with our colleague Andy Mears to break down a practical, fast-to-implement approach to AI governance. 1/ How to form a cross-functional Steering Committee 2/ Four essential initial policy areas: - Content Safety & Acceptable Use - Data Handling, Privacy & PII Protection - Model Selection, Approval & Fairness - Cost Management & Resource Allocation 3/ Quick wins using powerful AWS tools: - Guardrails for Bedrock - Bedrock Model Evaluations - AWS Budgets This isn’t a months-long theoretical project. You can put real governance guardrails in place in hours and start iterating from there. You can find Andy on LinkedIn at: https://www.linkedin.com/in/andrewmears1/ As always, let us know if you have ideas for future episodes, and what you’d like to hear us…

People in this episode

Hosts: Paul Papasavvas, Paul Varnedoe

Guest: Andy Mears

Topics covered

  • AI Governance
  • Generative AI
  • Data Privacy
  • Cost Management
  • Compliance

Keywords

  • AI governance
  • generative AI
  • data leaks
  • compliance violations
  • AWS tools

Mentioned in this episode

Organizations: Gartner, AWS

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