One company’s Friday report now lands on Wednesday.
It was a weekly update for leadership. Eight team leads sent status emails, someone compiled them into a document, formatted it, and sent it out by Friday. AI sped up the compiling and the formatting, and the whole thing still took two days, because the chain itself was the problem. Email to document to email, with a person stitching the seams.
Then someone asked a different question: if we built this today, knowing what AI can handle, would we collect eight separate emails and stitch them together?
They replaced the chain with a shared workspace the AI pulls updates from directly. The AI didn’t get faster. The process got smaller.
Two different skills
Picture a pilot and an airport designer standing at the same runway.
The pilot sees the landing: approach angle, wind, touchdown zone. The designer sees how runways connect to gates, how crews and passengers move, how the whole system shifts a thousand people an hour.
Landing the plane and designing the airport are different jobs.
Most businesses are flying the plane. They added AI to existing tasks and got faster at each one. Better landings, same airport (opens in a new tab).
The question that changes it
Put this to any process your team runs:
If we started this from scratch today (opens in a new tab), knowing what AI can handle, would we build it the same way?
Almost nobody answers yes. And the honest answer shows you which steps only exist because a human used to be the only option.
Don’t ask how AI can help your current process. Ask what process you’d build if you started today. That’s a different exercise, and it’s the one that rebuilds the workflow rather than decorating it.