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Some rooms change the conversation. This was one of them. Lucas Perraudin took the stage at the Lenovo EMEA Retail Executive Forum in front of retail leaders from Europe, the Middle East, and Africa. The question in the room was not what AI can do. It was what breaks when you try to scale it. That shift matters. It means enterprises are done debating. They are trying to build. Fabio Cannavaro was in the room. World Champion. Ballon d'Or winner. Italy 2006. Lucas was too. Even legends are watching what comes next. Thank you Lenovo for the partnership and for building that room. #AI #EnterpriseAI #Lenovo #Retail #DigitalTransformation

We brought the team together in San Sebastián. Not to escape work. To do the work that speed usually prevents. Mission. Vision. Strategy. Technical stack. How we deliver at the pace enterprise AI demands. But this is San Sebastián. So it also meant local food, surf, cooking classes, and every ritual in between. The AI market is not slowing down. But moments like this make sure we are building something sustainable. Long term. Together. Behind every enterprise AI deployment is a team that trusts each other completely. This is that team. Topics: team culture, company offsites, sustainable growth, AI TO MARKET

You are late. Not a provocation. A timeline. If your organisation is not running AI in production today, the companies that are have already banked 12 months of compounding productivity gains you do not have. We shared it at L'Oréal adopt'AI conference : functional productivity is done. The conversation has moved to agentic AI at scale. Fully integrated agents running inside global enterprises, handling complex processes end to end. AI To Market builds those systems. For the companies that decided not to wait.

How to not die as an enterprise in the AI era. Most enterprise AI programmes do not die from bad technology. They die from a sentence said in a meeting. We have spent two years building AI agents inside global enterprises. The same six statements show up every time, and every time they quietly kill the programme before it ships. "Our data is too messy. We must fix that before we start." "People will figure it out. They just need a quick training." "It's plug and play. AI will autonomously manage our processes." "Let's run 10 to 15 POCs and see what sticks." "We need the latest model to stay competitive." "It's too early. Let's wait for the models to stabilize." Each one sounds reasonable in the room. Each one buys delay while a competitor compounds an advantage you cannot see yet. Which one have you heard inside your own building this quarter? Swipe through for the reality behind each.