Most companies treat AI as a project. The ones getting returns treat it as an operation, with owners, budgets, service levels and a weekly review.
A project ends. An operation is reviewed, funded and improved on a schedule. The difference shows up in the second year, when the launch team has moved on and the system still has to earn its keep.
What an operating model contains
A named owner for every system in production. A budget line that covers running costs, not just the build. A service level the business has agreed to. And a weekly review where the numbers are read aloud.
Why quiet is the goal
When AI is run this way it stops being a headline inside the company. It becomes another dependable part of how work gets done, which is exactly where the returns are.
“The best-run AI programmes are the ones nobody inside the company talks about any more.”
Key takeaways
Give every production system a named owner.
Budget for running costs from day one.
Review the numbers weekly, not quarterly.
Hannah Ross
Managing Partner, Strategy. Fifteen years running data and automation programmes in finance and logistics.
