Episode 21 - AI Governance

<p>If your organization is exploring or already using generative AI, this episode is a must-listen.<br></p><p>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 <strong>40% of agentic and advanced AI projects</strong> will be scrapped by 2027 due to governance gaps.<br></p><p>We sat down with our colleague Andy Mears to break down a practical, fast-to-implement approach to AI governance.</p><p>1/ How to form a cross-functional Steering Committee<strong> </strong></p><p>2/ Four essential initial policy areas:</p><p>- Content Safety &amp; Acceptable Use</p><p>- Data Handling, Privacy &amp; PII Protection</p><p>- Model Selection, Approval &amp; Fairness</p><p>- Cost Management &amp; Resource Allocation</p><p>3/ Quick wins using powerful AWS tools:</p><p>- Guardrails for Bedrock </p><p>- Bedrock Model Evaluations</p><p>- AWS Budgets</p><p><br></p><p>This isn’t a months-long theoretical project. You can put real governance guardrails in place in hours and start iterating from there.</p><p><br>You can find Andy on LinkedIn at: <a href="https://www.linkedin.com/in/andrewmears1/" target="_blank" rel="ugc noopener noreferrer">https://www.linkedin.com/in/andrewmears1/</a><br></p><p>As always, let us know if you have ideas for future episodes, and what you’d like to hear us talk about!<br></p><p>Paul Papasavvas - <a href="https://www.linkedin.com/in/paul-papasavvas/" target="_blank" rel="ugc noopener noreferrer">⁠⁠https://www.linkedin.com/in/paul-papasavvas/⁠⁠</a><br>Paul Varnedoe - <a href="https://www.linkedin.com/in/paulvarnedoe/" target="_blank" rel="ugc noopener noreferrer">⁠⁠https://www.linkedin.com/in/paulvarnedoe/</a></p>