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Ownership and control of AI
If you do not own the layers, AI owns your decisions. These essays are about keeping control of the AI you pay for: who builds it, who changes it after they leave, who is accountable when it decides, and what to ask before you approve another AI budget.
6 essays
06/10/2026
Who Changes It After They Leave?
The one question to ask before any vendor builds your AI. Your AI vendor shipped on time. The agent works. The demo was great.
6 min read
05/08/2026
The Real AI Risk Is Not Underspending. It Is Spending Without Ownership
Three questions to answer before you approve another AI budget. Most AI budgets do not fail at the model. They fail at the part nobody wants to fund.
11 min read
17/06/2026
Outsourcing Business-Critical AI Is a Mistake
Outsourcing non-core work can make you faster. Outsourcing business-critical AI can make you weaker. That is the part most companies miss.
7 min read
02/06/2026
If You Don't Own the Layers, AI Owns Your Decisions
78% of organizations have deployed AI into at least one business function. Only 25% have a fully implemented AI governance program.
7 min read
29/04/2026
If AI Makes Decisions, Who Is Accountable?
AI is no longer suggesting. It is deciding. Approving loans. Rejecting candidates. Routing operations. Triggering actions.
5 min read
12/02/2026
If You Don’t Internalize AI, You Don’t Control Your Company
Let’s be very clear. AI is no longer a topic. It is no longer a project. It is no longer an experiment.
5 min read
Working on this right now?
If this topic sits on your desk today, the next step is a 30-minute call. No pitch deck. No sales process.