When can you let an AI agent act on its own in production, and when does a human have to stay on the gate?

This Signal Drop gives you the whole AI-ops governance model in one line: you decide what to automate by blast radius, not by how confident the tool is. Low blast radius, let it run. High blast radius, a human decides, every time. Because you can automate the action, but you can never automate the accountability.

 

What you'll take away:

- Why "how much can we automate?" is the wrong question to start with

- The blast-radius model: the open gate, the conditional gate, and the closed gate

- Why confidence is the wrong axis, and worst-case is the right one

- Two incidents on one night, and how the same tool earns two different answers

- The one habit: label your top five automated remediations and name who owns each gate.

 

Metrics and Mayhem, a CTO's guide to observability that actually works, is out now in Kindle, paperback and hardback. Grab a free chapter at masteringobservability.com/subscribe.