AI is moving fast — and so is the pressure to figure out where it actually fits in your organization. Whether you’re actively exploring use cases or just trying to separate real progress from all the noise, the hardest part is knowing where to start. What’s working today? And how are others making it work inside complex, real-world environments? Let’s explore recent AI pilots and the questions we’ve found most helpful for spotting good opportunities early on.

Cloud was supposed to make everything easier — and in many ways, it does. But as your environment grows into mission-critical infrastructure, it can also start to feel like the wild wild west. Teams move fast, flexibility fuels innovation, but without the right guardrails? Costs spiral. Security gaps emerge. Performance takes a hit. And often, organizations don’t realize the full impact until it’s too late.

Product teams are often handed ideas from executives, board members, or influential stakeholders with the expectation to deliver. But just because an idea comes from the top doesn’t mean it’s the best move. So how can you make a strong, evidence-based case not to move forward without losing trust? Join us for a discussion on the ROI of saying no and how to make a case not to build.