Contact

Status: Has ended

From AI Strategy to AI-Native Operations

7 May 2026

12:00 - 13:00 CET

Online

Free

Online / Webinar

English

From AI Strategy to AI-Native Operations

SORRY, REGISTRATIONS ARE CLOSED FOR THIS EVENT. 95% of GenAI initiatives fail because engineering cycles are too slow and disconnected from business reality. In this session, we explore the shift to AI-Native Operations. We’ll show you how to close the "Strategy-to-ROI" gap by using modern engineering tools to validate ideas in days, not months—no sales pitch—just the strategic reality of building an AI-native organization.

Organisers

Nick Limère 4

Nick Limère

AI Advisory lead at ML6
Francesco Cilurzo 5

Francesco Cilurzo

AI Governance & Design Expert at ML6
ThomasStandaert_webinar

Thomas Standaert

Postdoctoral researcher at University Ghent

About this event

No sales pitch. We are just sharing our architectural and strategic experience with building an AI-native organization.

AI is no longer an innovation experiment; it is a board-level mandate. However, the gap between a "strategic priority" and "measurable ROI" remains wide. Up to 95% of GenAI initiatives fail, not because the models aren't capable, but because the engineering and validation cycles are too slow and disconnected from business reality.

In this AI Strategy & Engineering Masterclass, we move beyond the hype to explore the shift from traditional software development to AI-native engineering. We will demonstrate how to bridge the strategy-to-execution gap by combining disciplined prioritization with modern tools like Lovable to validate ideas in days, not months.

Agenda

  • The Reality Check: Why AI Fails at Scale

    An autopsy of failed GenAI programs. We’ll unpack the structural and cultural issues that cause most AI portfolios to stall and why "Standard IT" approaches often fail AI.

    ThomasStandaert_webinar
    Thomas Standaert, Ghent University
  • The “Ready, Fire, Aim” Trap

    Many organizations launch AI initiatives because they feel they must. But without clarity on ambition, success metrics, and risk appetite. We explore how leadership teams can define the right ambition level, from efficiency gains to disruptive innovation.

    Francesco Cilurzo 5
    Francesco Cilurzo, ML6
  • The Design-Led Prototype: Validating with Lovable

    Strategy meets reality. We demonstrate how Design Thinking pairs with tools like Lovable to move from "No Idea" to a functional, validated prototype that business users can actually test in record time.

    Nick Limère 4
    Nick Limère, ML6
  • AI-Native Engineering: The New ROI Engine

    We dive into the core of AI-native engineering. Learn how teams are re-architecting their entire development lifecycle to unlock 2x-5x speed while ensuring security, compliance, and long-term code quality.

    Francesco Cilurzo 5
    Francesco Cilurzo, ML6
  • Live Q&A

    A deep dive into your specific challenges regarding prioritization, engineering workflows, and scaling AI-native practices across your organization.

Who should attend?

This session is designed for senior leaders responsible for strategy, innovation, or digital transformation, including:

• CEOs and Managing Directors
• Chief Digital Officers
• Chief Data / AI Officers
• VPs of Strategy or Innovation
• Senior IT and Technology Leaders

Key takeaways

  • Why most AI initiatives never reach measurable business impact
  • How leadership teams align ambition, governance, and risk appetite
  • A framework to identify AI use cases that create real competitive advantage
  • Lessons from real AI transformation journeys

Practical information

Type
Online / Webinar
Date
7 May 2026
Time
12:00 - 13:00 CET
Price

Free

Location
Online
Language
English