S2 E4 | Build vs Buy in the GenAI Era: Inside Belfius’ Data & AI Strategy

Nov 5, 2025

Hannes Heylen & Kris Peeters

How Belfius scales GenAI: claims copilot, fraud models, build-vs-buy, and governance - practical lessons for CIOs/CDOs.


Belfius Insurance’s Head of Data & AI, Hannes Heylen shares how his team scaled GenAI - from a fraud detection flywheel to “Nestor,” a claims copilot that speeds summaries, completeness and coverage checks. We unpack AI agents in the claims flow, build-vs-buy decisions, and why content/data governance drives LLM quality. Plus: a pragmatic delivery mantra - make it work, then right, then cheap - for CIOs, CDOs and Heads of Data.

Topics: ROI-first use cases • Claims automation • AI agents (GenAI + ML + human-in-the-loop) • Governance • Vendor flexibility & costs

Latest

The Data Challenge behind the Einstein Telescope

The Data Challenge behind the Einstein Telescope

Tjonnie Li explains gravitational waves, the Einstein Telescope, and why the future of science depends on data engineering.

Scaling Data in Aviation: Inside Brussels Airlines’ Data Strategy

How Brussels Airlines transformed a broken data setup into scalable data products, enabling self-service and real business impact.

Machine Learning in Energy: Forecasting, MLOps, and Business Impact

Inside Luminus: how machine learning models move from experimentation to production to forecast electricity demand.

Leave your email address to subscribe to the Dataminded newsletter

Leave your email address to subscribe to the Dataminded newsletter

Leave your email address to subscribe to the Dataminded newsletter

Belgium

Vismarkt 17, 3000 Leuven - HQ
Boomgaardstraat 115, 2018 Antwerpen


Vat. BE.0667.976.246

© 2025 Dataminded. All rights reserved.


Belgium

Vismarkt 17, 3000 Leuven - HQ
Boomgaardstraat 115, 2018 Antwerpen

Vat. BE.0667.976.246

© 2025 Dataminded. All rights reserved.


Belgium

Vismarkt 17, 3000 Leuven - HQ
Boomgaardstraat 115, 2018 Antwerpen

Vat. BE.0667.976.246

© 2025 Dataminded. All rights reserved.