Related question
How do we restart an AI initiative that has gone quiet?
Short answer
Three steps. Audit what actually moved, and find the one or two experiments that quietly worked before being abandoned. Pick one operational problem and solve it inside a fixed deadline. Then put one name on it, not a committee.
Audit what actually moved. Go back to the beginning of the year and find the experiments that showed real promise and then got dropped. Not the flashy ones. The ones that quietly worked. Those are your starting point, and they are cheaper to restart than to originate.
Pick one operational problem and solve it before the quarter ends. Not an initiative. Not a task force. One specific problem that costs your team time, money, or mental energy every single week. Assign AI to that problem. Measure the result against the baseline you should capture before you start.
Put a name on it. Every AI priority needs one person accountable for the outcome. Not a committee. Not a team. One person who will stand up at the end of the quarter and say here is what we did and here is what it produced.
The companies that enter a new quarter with momentum are not the ones that spent the previous one waiting for conditions to improve. They are the ones that used it.
Worth asking your team this week: what is the one experiment from earlier this year that deserves a second look?