Customer Spotlight | SEB
with Kimberly Lejonö & Gabriela Almonacid • August 19, 2026
Episode overview
What happens when a bank's technology leader and its L&D leader examine the same AI transformation side by side? In this Customer Spotlight episode, Kimberly Lejonö, who leads the technology teams modernizing SEB's corporate credit process across Stockholm, Vilnius, and Warsaw, and Gabriela Almonacid, L&D Partner for Global Business Services, trace how one of the largest banks in the Nordics is scaling AI and upskilling at the same time. Their central claim: 80 to 90 percent of this transformation is people work, not technology work.
The conversation is full of concrete, replicable moves. A weekly learning hour booked directly into 3,500 calendars after clearing four boards. A developer with zero agent experience shipping to production in one month. A step-by-step AI fluency path for non-technical roles that runs from Pluralsight Tech Foundations through hands-on workshops and ideation labs to a role-based AI Academy, with 90 percent of Business Services employees engaged in their assigned Tech Foundations content. Along the way, the two compare notes on manager engagement (nearly tripled in three years), risk versus experimentation inside a regulated institution, why Sweden's consensus culture is slower to decide but faster to move, and what tech and L&D leaders consistently misunderstand about each other. A must-listen for any leader who suspects their AI strategy and their learning strategy should be the same strategy.
Connect with Kimberly Lejonö: https://www.autogram.id/kimberly
Connect with Gabriela Almonacid: https://www.autogram.id/gabriela
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