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In this episode, We sit down with Kristof Meganck, CDO @ BNP Paribas Fortis in Belgium.

We explore how to turn AI from buzzword to business value with BNP Paribas Fortis’ CDO, moving from NLP chatbots to LLM-powered assistants, from RPA to agentic automation, and from siloed experiments to group-scale services. Along the way, we talk leadership under pressure, data governance, and why guardrails matter more than speed.
• EQ–IQ leadership shaped by crisis and delivery
• Personal influences and the change mindset
• AI strategy pillars: client experience, efficiency, augmentation
• Rebuilding SAMI with LLMs for voice and text
• Guardrails to prevent hallucinations and bias
• LLM hub, model selection, and sustainability
• End-to-end process redesign beyond RPA
• KYC, AML, fraud, IDP, and speech-to-text minutes
• YARA for all and vertical tools for roles
• Data governance, BCBS 239, GDPR, and Colibra
• Responsible AI, testing, and safety practices
• Local innovation vs group “as-a-service” components
• Mistral partnership, sovereignty, and agents
• Five-year outlook: internet of agents and paradigm shift
• Scaling impact across tribes and measurable P&L value
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Chapters

1. Hosts And Guest Intro (00:00:00)

2. Leadership Style Shaped By Crisis (00:00:53)

3. Personal Signals & Influences (00:03:06)

4. Question from Dr. Barak Chizi ( Chief Data Officer at KBC) (00:05:39)

5. AI Strategy based on 3 pillars (00:06:27)

6. Pillar 1: Client Experience: From NLP to LLM Assistants (00:06:44)

7. Lessons learnt in upgrading SAMY chat bot (00:12:27)

8. Pillar 2 - Efficiency: End-to-End Process Re-Design (00:15:03)

9. Beyond RPA To Agentic Automation (00:20:11)

10. Pillar 3 - Employee Augmentation (00:29:38)

11. Foundations that Make AI Work (00:37:43)

12. Question from Thomas Geerinck (CDO at ING group) (00:41:12)

13. Partnership with Mistral (00:50:00)

14. The Next 5 Years - Banks Serving Agents, Not Just Humans (00:56:47)

15. Where do you see your team in the next 5 years? (01:02:40)

16. Lightning Round + Close (01:04:17)

17. Thank you and closing (01:05:53)

30 episodes