Peter H. Diamandis

You do not touch the existing organization.

Yeah.

Don't touch the cash cow.

And what's happening right now is people are trying to stick AI, inject it into places, and it's just not working.

So what you do is at the edge of your organization, you create an AI native digital twin.

And then what you do once you set that up, separate entity, take three to five of your crazy young people, partner with a company that's a builder, not a consulting company, but a builder.

So you get what's called four deployed engineers, which is the latest buzzword in software these days.

And what you do is you pick a workflow,

You've got all these workflows on the legacy organization.

Is that a product or a service?

Well, call it invoice processing as a workflow.

That's a very standardized cookie cutter workflow that you know exactly how it works, and you rebuild it in this new entity.

You don't move it, you copy it.

So now you take the steps in this, and we've got a whole methodology for how to task breakdown and score each task, et cetera, that's built into the methodology of the whole approach.

You replicate it in this new system.

You fork the data so that you have the data to do it, and now you start running it here.

Now you've de-risked it also because if something goes horribly wrong, you're not risking the mother ship.

Sure.

Cannot stress this long.

So you run this in parallel until you hit that recursive self-improvement loop.