The Boring Part of AI: Laying the Foundation for AI at Scale

AI at scale doesn’t succeed by accident — it succeeds because the foundation is built right. In this session, I’ll share how to prepare for scalable AI by focusing on the real enablers: people, process, technology, and data. From decoupling systems to building trusted data pipelines and clear governance, this approach treats AI not as a one-off initiative but as an organisational capability. If you’re working in a complex environment and wondering how to move from isolated pilots to enterprise-wide intelligence, this session offers a practical, lasting strategy — not just another short-term fix.
 
The Why:
Many organisations rush into AI without a scalable foundation — leading to isolated pilots, abandoned models, and wasted investment. This session shows how to build AI readiness through disciplined architecture, making AI initiatives sustainable, governable, and impactful.

Key Takeaways:

• How to frame AI readiness as a business capability using 4 architectural lenses
• Why “boring architecture work” is exactly what makes AI scalable and real
• Examples of AI projects at KLM

 
This session is for...
You work in a large or complex organisation, are facing legacy challenges, or are responsible for enabling AI — whether from a technology, data, or business leadership perspective. This session is especially valuable for CIOs, architects, product owners, and digital transformation leaders.