Last week in London, with OpenAI we gathered senior AI, data, and tech leaders from Docplanner, Allianz, Sky, Michelin, B-Yond, Virgin Media O2 and more — for an evening of real talk on moving beyond proofs of concept into production-grade AI. The conversations were as insightful as they were candid. Here are a few key takeaways: 💡 Continuous Evaluation Defines Success As Karol Traczykowski from Docplanner put it, “Evaluations give you a picture of how well you’re doing and what moves the needle.” AI systems must be continuously measured, not just launched. 👥 People Enablement Is the Real Differentiator Technology alone doesn’t make AI work - empowered teams do. Companies that invest in change management and capability building scale faster and safer. 🏢 Organizational Change Is Still the Biggest Barrier Enterprises are setting up structured processes for identifying AI projects - even internal submission systems - yet adoption still hinges on flexibility and culture. 💰 AI Value Must Be Measurable Top performers (like global pharma) hold projects accountable to ROI within three months - if there’s no visible business impact, they re-evaluate and move on. ⚡ Speed and Adaptability Win In a fast-moving field, the organizations that can test, learn, and deploy quickly are already setting tomorrow’s standards. It was an inspiring night - great discussions, real challenges, and shared optimism about how enterprise AI is evolving. The PoC era is over. Now it’s time for AI that works in production - reliably, securely, and at scale. #OpenAI #deepsenseai #AIatScale #EnterpriseAI #AIAgents #AIAdoption #LondonAI #GenerativeAI
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