Upcoming Event

Building AI-native products

Most product teams today are told they need AI, but very few are shown how to make it work for the user, for the business, and for the team.

After 20+ years building and transforming products around the world, Tey Bannerman has seen what separates a successful AI-native product from a shallow prototype.

In this Product Apéro, Tey will break down what he’s learned while leading AI implementation across global industries. You’ll hear about the product decisions, adoption measures, and design principles that separate AI features from hype.

This session is for anyone navigating high expectations, emerging use cases, or just wanting better instincts for AI product bets.

🎙️ Our speaker

Tey Bannerman bridges the gap between building great products and navigating the world of AI. Starting as a software engineer and evolving through product design roles, he’s spent over 20 years in the trenches of product development.

As a McKinsey Partner leading AI implementation for clients globally, his work has ranged from creating financial guidance platforms serving millions to transforming legacy product experiences.

He's particularly focused on helping companies navigate AI integration: moving beyond pilots to production, measuring what actually matters for adoption, and ensuring AI enhances rather than complicates the product experience.

🗓️ Agenda

18:00: Check-in & networking
19:00: Keynote
19:30: Discussion + Q&A From
20:00: Networking, free pizza & beers 🍕🍺

You’ll walk away with

- A clearer lens for spotting AI use cases that deliver value

- Lessons from AI features that failed and why

- Tactics to design, measure, and iterate AI-native products

- A room full of peers building the next generation of intelligent products

📍Avenue Louise, 350 - Ixelles, Belgium (8th floor)

🎟️ Spots are limited! Reserve your seat now.

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In this Product Apéro, Tey Bannerman will break down what he’s learned while leading AI implementation across global industries. You’ll hear about the product decisions, adoption measures, and design principles that separate AI features from hype.
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