The Intelligent Enterprise: Live in Paris

Ideas, conversations and what’s next in enterprise transformation

Thank you for joining us

Thank you for being part of the conversation. Whether you joined us in Paris or are catching up afterwards, we’ve brought together the ideas, conversations and practical examples from Intelligent Enterprise: Live in Paris.

The central message of the evening was clear: when building costs next to nothing, scarcity moves. An AI agent can now be prototyped in an afternoon, and your competitors have access to the same models, platforms and tools. What remains hard, and what sets organisations apart, is choosing which prototypes deserve to become real uses, knowing whether an agent is right, and redesigning the way work is organised around it. The gap is visible in the numbers: only 13% of CIOs report significant or transformational value from AI (Gartner, October 2026).

In their keynote, Stéphane Beringuel and Pascal Malotti framed the path from proof of concept to MVP around three decisions: choosing, judging and absorbing. Choosing means running a portfolio rather than collecting agents, with a value hypothesis for each use case, an owner who can make the call and a date to extend, redirect or stop. Judging means testing for accuracy, compliance and uncertainty, and keeping those tests when the model changes. Absorbing means changing the work, not just speeding up the task: the large-scale gains from electricity came with the reorganisation of factories, not just with new motors. Their conclusion: responsibility can’t be bought. Someone has to decide, someone has to accept the use, someone has to answer for the result.

The executive panel brought together Marie Jelu (Air Liquide) and Ilias Charki (Louis Vuitton) around one idea: AI first transforms what the customer doesn’t see. Both started with internal uses, where teams’ work changes before customers notice anything. The discussion covered what has to be put in order before starting (processes, data, who has the authority to decide between countries), how to give teams autonomy without losing control of usage and cost, when a use case is mature enough to deploy while technology keeps moving, and how hard it is to turn the time savings promised in a business case into real value on the ground.

In the fireside chat, Arnaud Girard, Head of AI GTM at Google Cloud, brought the technology perspective: who is shaping the AI market, where value is really being created and how leaders can make sound choices in a market that never stops changing. The conversation looked at what organisations should buy as a foundation and what they should keep and build as their own advantage, and at what leaders need to know about every agent (its identity, its rights, its actions) before letting it act on their systems.

The evening continued with drinks, networking and live demos.

 

Explore the Intelligent Enterprise model

Moving from AI ambition to meaningful value requires more than individual use cases. It means connecting the experiences you create, the data and technology that underpin them, and the way people and AI work together. 

The Intelligent Enterprise model brings these elements together, providing a practical way to think about where your organisation is today, where the greatest opportunities lie and what may be getting in the way. 

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Explore the demos

Cre8, Valtech Content OS
Conversational Commerce
Valtech Concierge

Speakers

Marie Jelu
AI Program Manager - Sales & Customer Care Industrial World Business Line, Air Liquide
Ilias Charki
Global Head of Data and AI, Louis Vuitton
Arnaud Girard
Head of AI GTM, Google Cloud
Chrys Le Gall
Google Cloud and AI Architect, Valtech
Pascal Malotti
Global Retail Strategy Lead & Strategy Director, Valtech France
Stéphane Beringuel
CTO Valtech, France

Expert in digital transformation, specializing in composable DXP and commerce architectures. 

Continue the conversation

Every organisation is starting from a different place. The opportunity may lie in creating more intelligent experiences, strengthening the data foundations for AI, or redesigning how work gets done around people and intelligent technology. If one of the conversations from Intelligent Enterprise resonates with a challenge you're working through, we'd be happy to continue the discussion.