The 5 stages of AI adoption maturity: Where businesses create real value

Most enterprises are rushing toward autonomous AI. They shouldn’t. Autonomy you haven’t earned doesn’t speed you up. In fact, it slows you down. Here’s what I’ve moved our organization toward: a five-stage set of AI adoption maturity benchmarks. It’s a practical framework for understanding where employee development, decision-making and business value intersect. Each stage provides…

The production assumptions AI just broke

Over the past decade, I have worked through multiple technology transitions, from virtualization and cloud adoption to containers and large-scale automation. Each changed how enterprise IT operated, but they all shared one characteristic: production systems still behaved in broadly predictable ways. AI is the first shift I have seen that changes the behavior of production…

Put trust infrastructure before intelligent automation for better collaboration

Astute leaders recognize that many times, automation and technology failures aren’t really about the technology itself. Rather, failures occur because the necessary underlying infrastructure linking people, processes, and technology isn’t in place. For example, consider organizations that try to partner together but don’t take the time to align their tech implementations in a way that…

Why meta agents must become the economic intelligence layer of the agentic enterprise

In “Micro and macro agents: The emerging architecture of the agentic enterprise,” I proposed a three-layer architecture for enterprise AI. Micro agents execute specialized tasks. Macro agents orchestrate end-to-end business processes. Meta agents provide governance through monitoring, compliance, security, and human oversight. As enterprises begin deploying thousands — and eventually tens of thousands — of…