How AI Can Keep Experience From Walking Out The Door

“We need to talk about whether this relationship still works.”

That’s the email, in its entirety, that a junior accountant named Priya receives. As she reads it, her blood pressure spikes. Her breath comes in ragged gulps. That’s because Priya knows the context behind the pithy missive.

Her company missed a crucial delivery. Again.

Heart hammering in her chest, Priya checks the account record. As her eyes dart about, scanning past contracts, invoices and years of incomplete notes, she racks her brain for something to say to her upset client, something to alleviate the desperate situation. Her old boss, Roger, would have known.

The problem is he retired last Friday.

If Roger’s expertise had been captured before he left, AI could help Priya draw on that institutional knowledge. Now that we live in the Intelligence Age, we can turn to artificial intelligence for judgment of all things, to help us figure out how to speak to our clients, especially when the stakes are sky-high.

Recently, Salim Ismail, a frequent guest on Peter Diamandis’ podcast Moonshots, made the surprising case on his own YouTube channel for this very capability in the form of a product called Jev. “… It isn’t ChatGPT or a Claude competitor. It does one simple thing: it makes decisions fast and cheap.”

Ismail goes on to explain the tie-in with Daniel Kahneman’s book, Thinking, Fast and Slow, in which the Israeli-American psychologist describes what he dubs System 1 and System 2 thinking. The former represents your brain acting on autopilot: how you make snap judgments in the moment like hitting the brakes to avoid an auto collision. System 2 thinking requires deep analytical thought, solving heady problems like how to develop the best thesis for your upcoming keynote speech.