PushButton AI Team ·

Goldman Sachs isn't tracking whether their engineers use AI. They're measuring whether the work actually got better. That's the whole difference. You probably bought a tool because someone said you
Goldman Sachs isn't tracking whether their engineers use AI.
They're measuring whether the work actually got better. That's the whole difference.
You probably bought a tool because someone said you had to. Maybe a consultant set it up, disappeared, and now it sits there costing $200 a month while your team quietly avoids it. That's not a you problem. That's what happens when adoption gets pushed before purpose gets defined.
Goldman's CIO made one thing clear: the metric isn't usage. It's effectiveness. Did the output improve? Did the decision get faster? Did the result get better?
That reframe matters for your business. Stop asking "are we using AI?" Start asking "where is work slow, inconsistent, or error-prone right now?"
That second question points you to your first real win.
One thing you can do this week: pick one repetitive task your team complains about. Not your whole operation. One task. Ask whether AI could make that specific thing faster or more accurate. That's your test case. Low risk. Measurable. No system overhaul required.
Small proof beats big promises every time.
What's one tool you've paid for that your team quietly stopped using — and what do you think went wrong?
#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation
Wall Street is split on whether to track engineers' AI adoption to enforce its use. I sat down with Goldman Sachs' CIO to hear about his approach.