Andreas Welsch

Real people with real experience because they can also read between the lines a lot better than AI can currently do that.

Yeah.

And nothing beats that, right?

But I'm curious, what about you?

And about the Gartner factoid, right?

Six, seven years ago, Gartner said about 80% to 85% of AI projects don't deliver the value they initially intend to create.

So 40% of failing is great.

That means 60% are successful, a lot better than 15% or 20% of AI projects.

That's a really good counterfactual, yeah.

It is.

But we also see a lot of times this traditional hype cycle.

So now we have vendors who have been adding agentic AI into their products.

It's new for them.

Yes, they are marketing it.

Yes, there is an opportunity.

But it's up to the customer to introduce that and implement that in their business and figure out how does work change if all of a sudden I have this agent, this AI thing that I can delegate to, that can do certain things on my behalf.

A lot of times we see a lot of optimism around this technology, what it will be able to do.

It doesn't matter if it's agentic or generative or machine learning or what have you.

So it takes human experimentation and experience to see what actually works and what makes sense in our business.

So the promises, the expectations we have, yes, they're huge.