The "experimentation to deployment" gap is where most enterprise AI programs actually stall. What gets shared at events like OpenAI Frontiers tends to be the polished deployment story. What doesn't get shared is the six months of internal alignment, data access negotiations, and security reviews that happened before a single model touched production. We've seen this pattern across healthcare and enterprise clients. The technical part is often the fastest piece. The organizational part takes longer than anyone plans for. On the Tokyo and Seoul stops, we'll be watching whether the bottleneck looks different there. In our experience working with clients across India and the Middle East, the blockers shift by market but the timeline surprise stays the same. #EnterpriseAI #AIDeployment
At OpenAI Frontiers in San Francisco and London, we brought together leaders from across the globe to share how they’re putting AI to work across industries. Teams shared how they’re moving from experimentation to real-world deployment, using AI to rethink products, workflows, and customer experiences. We also heard from builders and executives on what it takes to bring AI into organizations responsibly, securely, and at scale. A highlight from the series: Sarah Friar and Sam Altman in conversation on what comes next as AI becomes part of how companies operate at scale. Now we're bringing Frontiers to Asia, we look forward to meeting with leaders in Tokyo and Seoul this week!
