AI adoption is often presented as a question of tools, automation, and productivity. But in real organizations, the biggest challenges are usually much more human: unclear ownership, low trust, messy workflows, poor communication, and teams that are expected to adapt faster than they are supported. This session explores what it actually takes to move from AI experimentation to meaningful business impact. It will look at how AI changes the way teams learn, communicate, sell, market, support customers, and make decisions — and why many initiatives fail when organizations focus only on the technology, not the systems around it. The session will offer a practical framework for identifying useful AI use cases, preparing teams for adoption, building trust in AI-assisted workflows, and avoiding “productivity theatre” — the illusion of progress created by more tools, more outputs, and more speed, without better decisions or outcomes. Attendees will leave with a clearer way to evaluate AI adoption: what problem it solves, who owns it, how workflows need to evolve, what success should look like, and how to make AI useful without making work noisier.
