AI-Native Ops: Making AI Safe for Production with William Collins

About this episode

William Collins discusses the implications of AI in production environments and how to maintain reliability while leveraging automation.

What happens when your “coworker” can generate code and changes faster than your team can review them, and production still has to stay up? William Collins breaks down what AI-Native Ops looks like when you take reliability seriously: where reasoning should stop, where deterministic automation should begin, and how guardrails like compliance checks, version pinning, and controlled workflows keep AI from turning into outage fuel. Cory and William also dig into why context windows and tool sprawl matter in real systems, how protocols like MCP and agent-to-agent communication are shaping day-to-day automation, and why regulated environments can’t adopt new tech with hype-driven shortcuts. If you’re a platform engineer trying to balance speed with safety, this conversation offers a practical way to use AI for the work that drags teams down, without giving up operational discipline. Guest: William Collins , Director of Technical Evangelism at Itential, AWS community builder, and the co-host of the Cloud Gambit podcast William Collins is a strategic thinker and catalyst for innovation. Over his career, he has helped enterprises build large-scale networks, driven modernization through…

People in this episode

Host: Cory O'Daniel

Guest: William Collins

Topics covered

• AI-Native Ops
• production reliability
• automation
• compliance checks
• cloud adoption
• platform engineering

Keywords

• AI
• automation
• production
• reliability
• cloud
• platform engineering
• compliance

Mentioned in this episode

Organizations: Itential, AWS, Cloud Gambit

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