S4 E14

The Rubik's Cube Approach: Simplifying Complexity and Raising the Bar

Technology transformation isn’t just about replacing outdated systems or adopting the latest innovations. It’s about building the right foundations, connecting technology to business priorities and making sure every investment delivers real value.

In this episode of CXO Secrets, David McClelland sits down with Serge Lengagne, Group CIO & Director of Technology, Data & AI at KRYS GROUP, to explore how he is transforming the technology foundations of one of France’s leading optical retail groups. With close to 2,000 points of sale, its own lens manufacturing capabilities and a complex operation spanning retail, manufacturing and supply chain, Serge shares how he is aligning technology and data with the group’s wider business ambitions.

Serge discusses why transformation must go beyond updating legacy systems, how a strong ERP foundation supports everything from inventory management to customer experience, and why organisations should focus on building the capabilities that differentiate their business rather than reinventing existing technology. He also explores the practical application of AI, explaining why organisations should start with business problems, make the most of capabilities already available in their technology platforms and avoid confusing impressive demonstrations with scalable transformation. Throughout the conversation, Serge reflects on the importance of communication, engineering discipline and breaking complex challenges into manageable steps.

Topics include:

Transforming technology from a support function into a driver of business performance
Modernising legacy ERP systems and building stronger technology foundations
Aligning technology and data strategy with business ambitions
Managing complexity across retail, manufacturing and supply chain operations
Using ERP to improve inventory visibility, procurement and operational efficiency
Building a transformation roadmap around business capabilities rather than a shopping list of technologies
Why sequencing matters when delivering long-term transformation programmes
Communicating transformation priorities and progress across the organisation
Deciding what to build internally and what to buy from established technology providers
Focusing internal development on the capabilities that differentiate the business
Applying AI to real business problems rather than pursuing innovation for its own sake
Making the most of AI capabilities already built into existing enterprise platforms
Why a successful AI demonstration doesn’t necessarily translate into scalable transformation
Improving prescription recognition accuracy through AI
Using data intelligently to improve business operations and customer experience
Breaking complex problems into smaller, manageable steps
Why simplifying, challenging and benchmarking solutions helps raise the bar
Applying engineering discipline and structured thinking to technology leadership

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