Article · Greg Howell · October 23, 2026
Governance comes before scale
When a tool catches on, adoption outruns the rules. One license becomes three, then nine, then 20. Early in this cycle you need to think about governance. Once AI is connected to your core systems, can someone delete records? Who sees which data? How do we log activity? How do we train people?
“The governance layer is the guardrails: the policies, rules and workflows that let an organization use technology in a scalable, safe and responsible way.”
Those are governance questions, and the time to answer them is early. Moving fast is fine. Moving fast without guardrails is the risk. AI governance might be the most boring and important policy you ever create and manage.