Build an AI Agent Governance Framework

​Engineering leaders are asked what AI agents changed, and most can point to a few demos and a bigger bill. The gap is not the model: nobody owns what agents may do, who approves and how the result is measured. Live, I build the governance framework my own company's agents run under: which work goes to agents, who owns each one, where a human signs off and what each agent costs a month. You leave with a one-page version for your own team.

​This session is hosted on Maven. Register at https://maven.com/p/0221f2 to get the Zoom link.

​What you will leave with

• ​Decide which work goes to AI agents: Sort your team's work by risk and repetition, and start where both favour agents.

• ​Set who approves what an agent does: Approval rules your managers can explain, with a record of every decision.

• ​Measure what the agents changed: Cost per agent, time saved and quality, on one page each month.

​Join this free live lesson to build an AI agent governance framework with a real company's agents, then design your organization's operating model in the AI-Native Transformation for Engineering Leaders workshop.