Grab your badge, meet peers, and explore hands-on AI demos over breakfast.

Everyone is building faster with AI. The organisations that are accelerating in the right direction aren't the ones with the most tools; they're the ones that have created the foundation for teams and AI to make decisions, solve hard problems, and build together. In this keynote, get a first look at Miro's latest product announcements and leave knowing exactly how to bring them back to your team.

Most organisations are running AI pilots, but far fewer have figured out how to make AI work the way their teams actually work at scale. That's exactly the challenge Endava set out to solve. In this keynote, they share the story behind Dava.Flow™ — their AI-native engagement lifecycle built on Miro as a shared context engine — including the principles that shaped it, the decisions they'd make differently, and the human side of change at the heart of their transformation.

To build at the speed of AI, ElevenLabs — one of the fastest-growing AI companies in the world — has had to reinvent itself in real time. From his role leading Growth and Engineering, Luke Harries shares what that evolution actually looks like from the inside: shifting from building on models to building products, creating small autonomous labs, and structuring for speed without losing direction.

Swap notes over lunch and make connections that last long past Canvas.

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 session, see how Miro Prototypes acts as the decision layer in your product development workflow, and walk away with a workflow your team can use immediately.

What does it actually take to go from early-stage AI experimentation to a GenAI assistant that's proactively guiding customers through their financial lives? In this session, Jonathan Neubourg, Head of AI & Tech Lab at Belfius, walks through how his team of 70 used collaborative AI workflows in Miro to align on a shared vision, map ideal user journeys, and get from early brainstorming to a product customers are using today.

AI coding tools are only as good as the context they get — and most teams are still copy-pasting context into prompts. With Miro's MCP server, start from your codebase to generate architecture diagrams and living documentation into Miro, or start from your board to feed existing specs and decisions straight into Claude Code, Cursor, or Codex. In this session, we'll demo both directions live — and show how the loop stays alive as your code and context evolve together.

When you're coordinating hundreds of people across multiple organisations on a multi-year digital transformation, alignment doesn't happen by accident. Grace Davey, VP of Product & Design at BCG X, shares how her teams use Miro as the shared context layer that keeps research, design, and development moving in the same direction — including what it actually takes to keep user needs at the centre when AI and automation are accelerating everything around them.

Every organisation has AI. Almost none have AI that works across teams. The gap between individual AI productivity and organisational impact is where most companies get stuck — and it's exactly what Miro built AI Workflows to close. In this spotlight, see how teams are using AI Workflows to move from isolated experiments to connected, automated systems, with real customer examples and roadmap announcements.

This session will bring another real-world story of how a leading organisation is using collaborative AI workflows to build faster, align better, and scale what's working across their teams. Stay tuned!

Your workforce isn't waiting for an AI strategy. Seventy-eight percent of employees are already using AI at work. Most of them without permission, without top-down tools, and without training.

Daniel Hulme is navigating this reality at WPP, one of the world's largest marketing and communications organisations, as Chief AI Officer. His conclusion: the companies that win with AI won't be the ones who clamp down hardest; they'll be the ones who moved fastest to make the sanctioned path better than the shadow one.

In this keynote, Daniel shares the framework he's developed to turn grassroots AI adoption into structured, scalable advantage, without sacrificing governance or innovation that's happening organically. He'll also zoom out to the macro forces reshaping business and society, so you leave with both the near-term playbook and the long-term perspective to lead with confidence.

Revisit the hands-on activations and unwind with your new connections (the LinkedIn requests can wait 'til tomorrow).