When AI Changes Decisions, It Changes the Organisation

And since our last conversation, Fred, what's changed most in the technology and the market? Some of your people I was talking to suggested to me that decision intelligence is reaching an inflection point now.

What are you seeing that makes this feel like a different stage?

It's a combination of things.

Look, we started in 2017.

We were very early with that vision.

It took a long time to build the technology.

I think from our vantage point, and we operate in Europe, in North America, in Asia, the conversation is shifting from what is it and why do I need this? So basically from our side, a lot of work was around evangelizing the approach, the methodology, the why you need this to most companies today understand that they need this approach and now they're looking for a platform, they're looking for a partner.

So the shift really is from our vantage point, from eventualization to proposing a solution that companies will be able to deploy fast, reliable, in a fast manner, reliable manner, and so on and so forth.

What's been driving this? Well, it's the natural evolution of the need, right? So I just talked about speed, complexity, and You know, Gartner describes it very well.

They're saying we shifted from a world where we're thinking about data-driven decisions, which means that where the industry for the last 30 years was focused on data-driven.

How do I get the data in the right place so that people can make the right decision? So from data-driven to decision-centric decisions.

Now I start with my analysis, which what is the decision that I need to make at which point for which customer? And then what do I need to make that decisions digitally? So what is the logic? And it can be quite complex, obviously.

What we do is complex across our enterprises.

What data do I need? And so on and so forth.

So moving from data driven to decision centricity is very important.

So driving that surge, so to speak, is the realization that companies need that.

It's, as you know, Patrick, for the last couple of years, we've been talking about agentic, you know, agentic, deploying agents everywhere.

And companies now have this big problem, which is I've got agents, I've got people vibe coding across my company.

How do I operate? How How do I operate my business with that agentic layer? How do I trust these agents? How do I connect these agents to my data, to my processes? So there's been a big push and people are like, okay, is decision intelligence a way to actually leverage the full power of agentic and LLMs inside my organization? And obviously it is.

I would say the third factor is maybe more of a reflection.

I don't know if it's a factor, but you've seen the entire software and consulting industry shifting to that narrative, which we started, again, nine years ago.

But you listen to the SAP keynote.

With Christian Klein, he talked, the theme was the autonomous enterprise, which is something that we've been talking about, as you know, for many years, self-driving, the autonomous enterprise, autonomous supply chain.

And every vendor from the LLM vendors down to the ERP vendors are all converging their narrative toward that agentic decision intelligence.

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