The Illusion of Simplicity:
Why AI Is Harder Than We Think

AI development has never felt more accessible. With the rapid rise of generative AI and low-code tools, building proof-of-concepts is faster and cheaper than ever before. But that’s where many companies fall into the AI trap: mistaking early ease for long-term readiness.

As teams rush to deliver AI-driven products, they often face a harsh reality: what worked in a demo rarely scales in production. Integrating AI systems securely, reliably, and at scale introduces challenges that most initial prototypes are not designed to handle — from data quality and model drift to infrastructure, compliance, and cross-system compatibility.

At this dinner, we’ll bring together CTOs, Heads of Engineering, and technology leaders to discuss:

• Why building AI prototypes is deceptively easy and what that illusion costs later.
• The hidden complexities of turning AI PoCs into production-ready products.
• How leading organisations are structuring teams, systems, and governance to scale responsibly.
• What lessons early adopters are learning about balancing speed, risk, and long-term sustainability.

Join us for an evening of candid discussion, shared experiences, and practical insights over great food, and better company.