Teams | Collaboration | Customer Service | Project Management

Why collective intelligence needs friction to flourish

A colleague said something recently. We were talking about AI — how good it’s become, how fast it makes us — and he said: “It’s amazing, exciting. But also kind of lonely.” It’s true. We’ve built the most powerful thinking tool in history, handed a copy to everyone, and then used it to be more alone. Why? Because of a story we’ve always told ourselves about the lone genius. Except it’s not a story, it’s a myth.

Beyond Brainstorming: How AI is Reshaping Innovation Work

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.

Redesigning Client Collaboration: From "Big Reveal" to 12-Week Cycles in PDLC

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 full-stack builder and the new shape of the product organization

Tomer Cohen spent 14 years at LinkedIn, six of them as Chief Product Officer. At Canvas 26, he discussed the rise of the full-stack builder — what it means for roles, org charts, and coordination — and named the collaboration challenge nobody has cracked yet. In fall 2022, Tomer Cohen sat in a conference room in Redmond and watched a demo of GPT-4 — several months before the rest of the market would see it.

When AI Is Designing Us Back

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 Adoption in Professional Services: Lessons from the front lines

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.

Decide What to Build Faster with Miro Prototypes

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.