The Pluralsight Podcast podcast

Customer Spotlight | SEB

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One leads technology. One leads learning. Same bank, same transformation. In this episode of The Pluralsight Podcast, Josh sits down with Kimberly Lejonö, technology leader inside SEB's corporate credit process, and Gabriela Almonacid, L&D Partner for Global Business Services, to trace how two functions inside one of the largest banks in the Nordics are shaping the same AI transformation from entirely different vantage points. What surfaces is a series of connections neither had fully drawn before: where their work already overlaps, where old assumptions don't hold up, and where the real opportunity sits waiting between tech and L&D.

We explore:

  • Why 80 to 90 percent of an AI transformation is people work, not tech work, and what that demands from leaders on both sides of the business

  • The calendar move that put a weekly learning hour in front of 3,500 employees at once, and why it had to clear four boards to happen

  • SEB's step-by-step path to AI fluency for non-technical roles: Tech Foundations, hands-on workshops, ideation labs, and a role-based AI Academy

  • How a developer with zero agent experience shipped to production in one month, and why your first use case should be finishable, not flashy

  • Why manager engagement in learning nearly tripled in three years (hint: people don't listen to HR, they listen to their manager)

  • What tech leaders and L&D leaders consistently miss, and why consensus culture pays back ten times at the end

 

Connect with Kimberly Lejonö: https://www.autogram.id/kimberly


Connect with Gabriela Almonacid: https://www.autogram.id/gabriela?card=open

 

Chapters:


02:02 Meet Kimberly and Gabriela of SEB



05:32 Two roles, one goal: democratizing technology



09:17 The hardest part of scaling AI is people



12:31 Automating the credit process



14:18 A learning hour in 3,500 calendars



19:21 From proof of concept to production



21:39 Skills planning for 20,000 employees



24:04 Ideation labs and the first agents shipped



27:06 Building AI fluency step by step



28:56 What we wish we'd known about AI adoption



34:00 The future workforce



36:13 Will we lose the basic skills?

 

40:23 Logged hours vs. real learning



42:52 Why manager engagement nearly tripled



44:59 Risk, experimentation, and intentional mistakes



49:05 The Tech Foundations story



52:32 Consensus culture and the mirror exercise



56:20 Leading distributed teams through change



1:00:55 What tech and L&D misunderstand about each other



1:04:47 Measuring what matters



1:07:29 What winning looks like

 

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