Teams | Collaboration | Customer Service | Project Management

AI is taking root differently across every organisation — faster among younger generations in some places, driven top-down by leadership in others, and complicated everywhere by the question of how to balance development speed with cultural change. In this panel from Canvas 26 Tokyo, leaders from three professional services firms come together to share what AI adoption actually looks like when you're running large-scale projects: the hands-on realities, the Miro use cases, and what it takes to make the shift stick across an entire organisation.

Building is happening everywhere. But just because you can build it doesn't mean you should ship it. The teams pulling ahead have figured out how to move quickly from idea to validated direction — aligning before building, not after. In this product spotlight from Canvas 26 Tokyo, Mathias Davidsen (Solutions GM, Prototypes at Miro) shows how Miro Prototypes acts as the decision layer in your product development workflow.

AI is no longer confined to screens. It's becoming a partner in how we think, collaborate, and create. In this fireside conversation from Canvas 26 Tokyo, Hidetoshi Kikuchi (General Manager, BUSINESS INNOVATION LOUNGE TOKYO, Ricoh), Masumi Harazuka, and Kosaku Nakajima explore what it actually takes to build effective human-AI collaboration — in meeting environments, in product development, and in everyday decision-making.

Every organisation has AI. Almost none have AI that works across teams. The gap between individual productivity and organisation-wide impact is where most companies get stuck — and it's exactly what Miro built AI Workflows to close. In this product spotlight from Canvas 26 Tokyo, Product Management Director Joe McLean shows how teams are moving from isolated AI experiments to connected, automated systems that everyone can see, run, and build on together.

The AI agent customer journey report helps teams visualize how customers move through AI-powered support experiences from start to resolution. Using an interactive conversation journey map, teams can identify successful automation paths, uncover where escalations happen, and spot opportunities to improve AI workflows. Filter by AI agent, channel, or use case to better understand how automated experiences perform across customer journeys.