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 talk about!
Paul Papasavvas - https://www.linkedin.com/in/paul-papasavvas/
Paul Varnedoe - https://www.linkedin.com/in/paulvarnedoe/