Darren Patterson

And so that's where agents really shine.

They also shine in terms of their resilience, so to speak.

Unfortunately, in the world we live in, even now, especially maybe now with a company that rhymes with proud flair, it goes down from every once in a while.

The systems go down.

And so the system goes down and in traditional automation, you know, it stops.

But an agent says, well, what's going on?

And it retries and it thinks through edge cases and it can think through and reason, so to speak, in order to make things happen effectively.

So this is kind of where we see the differences mostly occur between that kind of traditional automation approach and where an agent might make sense.

Yeah.

I don't know if it should be a human.

I subscribe to the world where we're all going to end up on the beach enjoying life and what that looks like.

We'll circle back on that.

All right.

We're all agreed.

Perfect.

I mean, certainly there are still times that human intervention is required or desired based upon the type of business process that you're interacting with.

But actually...

I really appreciated OpenAI actually produced a fantastic paper on exactly what are agents good at versus what are they not good at.

And it's really looking at the types of automations then that are resistant to being able to be automated because of the fact that they're highly dependent upon context that changes all the time or different qualitative types of inputs that would be struggled with in a normal automation environment.

They have a fantastic paper.