Kristoffer Lundberg

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408 appearances 1 recordings 1 series first heard Jun 2026 last heard 23 Jun

Kristoffer Lundberg’s voice in public audio — every appearance, attributed to the second.

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Making Risk Flow | The Future of Insurance · Think Slow, Execute Fast: The New Playbook for Vertical AI Transformation in Insurance | Kristoffer Lundberg · 23 Jun 2026 podcast

And ultimately, all these initiatives require change management, right?

They require the clearance adjusters, the claims teams to feel comfortable with the recommendations from those AI-driven decisioning.

So I guess the involvement of the business is not just to best define the operating model, but also to feel comfortable with how it's working, right?

Yeah.

And then I think there's the two other things which came up when one of my conversations with another tech company on stage here was, A, the notion and the person I was speaking with had a background from Facebook.

And as she started off saying, well, Facebook was very famous for, you know, move fast and break things.

And

Many people don't know this actually, but they actually changed that statement to move fast on stable infrastructure, but not breaking things anymore.

And the sexy thing in the industry is just that let's go quickly, let's move fast.

But when you look at the big projects that gets done,

It's actually a bit the opposite.

It is you spend more time upfront thinking about, okay, what is it that we need to get done here?

Who are the people we need to have in the room?

What is the data we need?

So you're actually thinking slowly, and then you have a much more rapid execution because you've just gone through and mitigated for all of the things that you really don't want to come up once you're sitting and deploying, and then that's really then holding you back.

So I think that's what the case there with Travelers that they did really well is that they invested that time upfront to really get everyone in the business involved, really making sure that they knew before they started in executing.

So it was a good example of thinking slowly and then acting, executing very fast.

And then the other thing

which also from another conversation I had on stage was thinking about the human in the loop.

So they didn't go in and try to automate 100% of the claims.

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