Episode Player
AI Agent Governance in Production with Logan Kelly
Definitely, Maybe Agile
Chapters
0:00
Welcome And Introductions
1:05
Why AI Governance Suddenly Matters
2:40
One Governance Layer Beats Point Tools
4:40
Observe First Then Add Policies
6:30
Agent Identity And Impersonation Risk
7:55
Auto Instrumentation Over Manual Checkpoints
10:10
Intent Versus Outcome For Control
12:45
Multi Agent Pipelines Multiply Failures
14:55
Building Skills With AI Coding Tools
17:25
Common Triggers Cost PII IP Leakage
20:05
Retry Loops Timeouts And Server Hammering
22:15
Governance For Non Developer Agent Builders
24:30
CI CD Checks For Safer Agents
26:20
Best Fit Customers And Final Takeaways
Definitely, Maybe Agile
AI Agent Governance in Production with Logan Kelly
Mar 19, 2026
Season 3
Episode 212
Peter Maddison and Dave Sharrock
Most organizations are somewhere between experimenting with AI agents and quietly hoping nothing breaks in production. Logan Kelly, CEO of Waxle AI, has spent a lot of time in that gap, and he thinks governance is the piece most teams are walking past too quickly.
In this episode, Logan joins Peter and Dave to talk about what agentic governance actually looks like in practice, why a single consistent layer beats a pile of point solutions, and how to keep developers moving fast without letting things go sideways when it counts.
This week's takeaways:
- Let your teams experiment. That's how you learn what agents can actually do. Just don't skip governance on the way to production.
- Governance doesn't have to be a gate. The best version layers in without friction, and gives everyone in the organization visibility, not just the dev team.
- If a developer has to do extra work to implement a governance feature, that's a design problem. Good governance should work for the developer, not the other way around.