Most teams aren’t getting leverage from AI.
They’re just using it.
There’s a difference.
A lever gives you more output with less effort. That’s the whole point of the metaphor, at least that’s what I learned in 8th grade science with Mr Johnson
But when I see how most companies deploy AI, people are just working differently. Not better. Not smarter. Just . . . different.
They’re copy-pasting into ChatGPT instead of Google.
Same amount of effort. Same level of chaos. Just a new tool in the mix.
In working with over 200 companies, and many among theFortune 500, real leverage looks and can be as simple as:
👌🏼 Your team spends 30 minutes training on a properly configured system
👌🏼 That system connects to your actual company data
👌🏼 Now they get answers in 10 seconds instead of 10 emails
That’s leverage. More output, less effort.
The gap isn’t the technology. Claude exists. Your data exists.
In a lot of ways I think the gap is change management.
Even if you happen to have enough technical skills internally to set up these systems in a responsible and connected way, is your team actually using it? Is your team actually trained besides a 30-minute all-hands meeting?
Most companies skip the boring stuff (configuration, training, rollout) and wonder why AI isn’t delivering ROI.