Peter H. Diamandis

Maybe it's receipt confirmation, and you move that over.

Maybe the next one is demand forecasting, and you move that one over.

And little by little, you grow this thing at the edge.

A full digital twin.

And the next thing you know, you've got your AI-native digital twin fully running.

Our current estimates are that once you have that digital twin running properly, your performance improvement should be between 100x or higher.

Per year?

Just 100x better.

If it's processing one invoice now, it should process 100 invoices next.

If you're taking 100 days to do something, it should take one day to do something.

Well, that's the whole thing.

That's where you're building up this thing and the human beings in this new model, you have human beings there, but there's less of them and they're doing more oversight, exception handling, problem solving, et cetera.

You're literally building your AI native digital twin at the edge.

You can do that.

Now, let me give you a real example.

There's two cases, sectors, by the way, that have gone through this full loop.

One is the contact centers.

We used to do human business processes and outsourcing.

We had call centers doing stuff.

Then phase two of that automation was chatbot-assisted automation.