Hosted a dinner with about 15 IT leaders around the future of AI Agents in the enterprise. Here are a few updates on the state of the world at least at some large enterprises: * For many organizations, the demand from the business for AI is continuing outstrip the ability to implement the technology. This is super relevant because we’re already 2.5 years after the ChatGPT moment and there’s really no slow down in use cases. * AI is causing more department lines to collapse or blur. Companies are finding that teams can now begin to do more of the work of their adjacent functions, which clearly will have some very interesting implications to corporate org structures in the future. * Getting workflows well understood before you add AI Agents to them continues to be a hot topic. If you don’t have a clean process today, it’s very hard to bring automation to that work, so many companies are using AI as an opportunity to bring more discipline to the workflows. * AI Agent interoperability remains a continued focus for IT leaders. It’s obvious that no singular system can handle all the agentic workflows across the enterprise, which means having AI systems talk to each other is still a huge focus. * Training of the next generation workforce remains a huge focus. It’s clear that everyone believes the next generation will work way faster, but there remains some concern on how this new workforce can fully learn the ropes of the business without having to “do the work” now. Overall, momentum remains very strong for AI Agents in the enterprise, and at the same time it’s clear that there will be years of change management ahead to fully deploy agents across the enterprise.