Teams | Collaboration | Customer Service | Project Management

When AI can generate ideas on demand, the real work of innovation shifts elsewhere. Idea generation is no longer the constraint. Making sense of ideas, aligning teams, and turning insight into action is. In this session, Colin Duff (CEO of Mosaic Innovation) reframes how innovation work actually happens when AI is part of the system. Drawing on real client examples, he walks through how workflows are evolving across research, synthesis, ideation, and prototyping using Miro-based approaches.

@maddyzhang shows how Sidekicks helps turn AI conversations into shared team context. Instead of your best thinking staying in a chat window, it becomes something your whole team can react to, refine, and build on together.

For many teams, client collaboration still follows a familiar pattern: long discovery, heavy specs, and a polished "ta-da" moment at the end. That model is starting to break. Big reveals stack risk at the end, delay meaningful feedback, and expose misalignment when it's most expensive to fix. In a world of faster change, AI-accelerated delivery, and hybrid product teams, collaboration needs a different rhythm.

The "rationality-based, user-centered approach" has been the gold standard in business, product development, and marketing for decades. But it's hitting its limits — and AI is accelerating that reckoning. In this closing keynote from Canvas 26 Tokyo, Yuichi Inobori, Ph.D. reframes the role of the objects and tools we create in sparking human and organisational creativity, through the lens of Ontological Design. As AI — itself an artifact — weaves itself into the fabric of everyday life, what does creativity truly mean for us now? And how should we design the organisations of the future?

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.