Every decision needs an owner

AI now approves or blocks transactions, escalates or ignores incidents, prioritises customers and triggers other systems. Once it acts, a decision has been made.

Most companies scaled decisions before they scaled accountability. Ask who is responsible for AI decisions and you get five answers: IT built it, data trained it, the business defined it, the vendor supplied it, leadership approved it. Everyone owns a piece. No one owns the decision.

Scaled decisions. Unscaled accountability. That gap is where risk lives.

“The AI decided” is not an answer. AI has no legal status and no accountability. It executes what you designed. And under the EU AI Act, hiring, credit scoring and critical infrastructure are high-risk uses.

• Decision ownership. Every automated decision has a named owner. A person, not a committee.
• Decision design. Decide the data, rules, thresholds and exceptions. AI executes; people design.
• Real-time control. Be able to step in before the impact scales.
• Ask five questions: who owns each decision, can we explain it, do we have real-time control, can we intervene, are we accountable by design?

OG holds two granted US patents in IT operations, one on fixing problems on remote devices without a person in the loop. Automation at that scale only works when the people around it own the result. See the patents.