‘Proof of Control’ (Without Slowing Everyone Down)
Most mid‑market leaders don’t want ‘AI governance.’ They want confidence: that the business can move fast and still explain what happened if something goes wrong. Let’s talk about the phrase that makes people tense: “proof of control”. It sounds like audits, screenshots, and paperwork. But in practice, proof of control is just your ability to […]
Ownership Beats Enthusiasm (Risk, Value, and Escalation)
AI adoption doesn’t usually break because people don’t care. It breaks because nobody knows who can say yes, who has to say no, and what happens when something feels ‘off.’ If you want the truth about AI in the mid‑market, it’s this: everybody is interested, but nobody wants to be blamed for a failed project, […]
Define ‘Good’ Before You Ask AI to Help
If you want the business to trust AI output, you have to define what ‘good’ means. Not in theory—in the exact places where AI touches customers, money, and decisions. Here’s a quiet reason a lot of GenAI rollouts stall: people try it, get a few answers that are ‘almost right,’ and then they stop using […]
What an “AI Foundation” Really Is (Without Creating More Red Tape)
Last time we talked about why GenAI pilots stall. This week: what I mean by ‘foundation’ – in plain English – so you can move faster *and* reduce risk. When people hear ‘governance’, they picture a committee, a 40‑page policy, and weeks of meetings. That’s not what I’m talking about. A usable AI foundation is […]
Why GenAI Pilots Stall in the Mid‑Market (And It’s Not for Lack of Effort)
Mid‑market leaders are feeling the same push‑pull everywhere: AI promises real productivity gains, but no one wants to trade speed for a data leak, a compliance headache, or a brand hit. What I’m seeing most often isn’t a motivation problem; it’s a foundation problem. Teams jump into tools, run a few exciting demos, generate some […]