AI Adoption
Perspectives from the team on deploying, governing, and measuring autonomous AI agents in the enterprise.
Policy on Paper
Your AI policy says your agents cannot access customer data without authorization. Your agents can, in fact, do exactly that. Both statements are true. That is the problem.
April 20, 2026The Autonomy Paradox: How PE's Control Instinct Destroys the Value It Paid For
PE firms acquire companies and immediately tighten controls: standardized reporting, mandated tooling, new approval workflows. From the boardroom, it's responsible governance. From the engineering floor, it's the moment top performers update their LinkedIn. Fifty years of research and the DORA data say the same thing: this playbook destroys the value the deal was meant to create. Here's the boundary model that resolves the paradox.
April 14, 2026Your Engineering Team's AI Problem Isn't What You Think It Is
Most engineering teams already have access to AI coding tools. That is not the hard part. The real problem is that leadership often treats AI adoption like a software procurement exercise instead of an operating model change. Without clear norms, lightweight governance, and meaningful measurement, AI becomes another line item in the budget instead of a real driver of engineering throughput.
April 1, 2026The Engineer Who Won't Use AI Is the New Engineer Who Won't Write Tests
The engineer who refuses to use AI today looks a lot like the engineer who refused to write tests a decade ago: often smart, often experienced, and increasingly on the wrong side of where the profession is headed. AI tooling is following the same adoption curve as other once-controversial engineering standards, only much faster. In the near future, refusing to use AI will not read as principled. It will read as professionally obsolete.
March 16, 2026