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You can now generate a full board from a single prompt, without having to build it piece by piece. Prepping a workshop and short on time? Tell Miro what you're planning, and get a structured layout ready to work from.

What changes when AI isn't an add-on, but part of how teams think and build together? Tata Consultancy Services used Miro to cut innovation cycles in half. In client workshops, teams co-created with AI — using personas to stress-test ideas and refine use cases, then building low-fidelity prototypes with stakeholders in the room. It collapsed the distance between idea, validation, and alignment into a single 90-minute session. In consulting, credibility lives in how fast an ambitious strategy becomes something a client can respond to. As Subin Pillai, Product Manager and Studio Lead at TCS Pace

Every app switch costs you more than just time. It costs you your train of thought. Miro keeps your team's work in one space, so you never lose the thread. #GetGreatDone

No more thinking stranded in a chat only you can see. With Miro MCP, you can turn what you've worked through in Claude, ChatGPT, Gemini, or Copilot into a board your team can build from — or pull that context back into your chat. Connected both ways, so nothing gets left behind.

Sure, you can build something - but building the right thing? Not as easy. Explore the complete guide for product leaders looking to prototype faster and drive innovation. Get the guide 👇

At Endava, shared memory has a home: the canvas. As Wesley Fagan, their Chief Design Officer and SVP of Strategy, put it: "We use Miro as that central touchpoint, where every single piece of context exists in the board space." A coffee conversation, a napkin sketch, a client workshop, the prototypes — all of it lands on the canvas. And through MCP, the boards and the agents in the IDE stay in sync, so engineering always builds from the latest context. 7,000 people at Endava now work this way, from commercial through delivery. See the full story: https://lnkd.in/e-eiaxUp

More than 7,000 Endava team members work on the same canvas every day. Workshops, prototypes, planning, decisions - all of it lands in one place. Previously, Endava had no long-term memory at enterprise scale. A team made a decision in a room, and months later nobody could reconstruct why. That context now lives on a collaborative canvas, reachable by people and agents alike: • Someone joining a project finds the reasoning behind the work vs. just its output • Context carries from the first client conversation through to delivery • The agents doing the work build from what the team actually de

Endava's clients can't risk an AI hallucination, so the decision-making authority is always a person. That principle is written into the work itself, down to the markdown files, so no agent can go rogue. Agent-to-agent coordination exists, but the core of the model is agent-to-team collaboration. It rests on a value the company held long before AI arrived: technology is the how, people are the why. Endava kept that through the whole transformation.

Proximie's hardest problem was never engineering the product. It was deciding what to build next without defaulting to the loudest voice in the room. Now a feature earns its roadmap slot based on evidence that exists in a shared workspace, where anyone from the CEO to sales can see it, react to it, and align on it. See how they decide the "right" thing to build, together. ⬇️

Belfius had a banking app so feature-rich that its 2.2M users often struggled to find what they needed. A 70-person product team tested prototypes with real users, then brought the findings back to one canvas - giving everyone the same context to make better decisions, together. The result? Hey Belfius, a smart assistant that’s handled 255K+ conversations since its soft launch. Get the eBook to discover the full story ⬇️

J.Crew Group found the obstacle in their design process wasn't a single step. It was the gap between teams that made it harder for everyone to understand the work well enough to move forward. They named the gap alignment latency and developed an AI-powered “Digital Atelier” to bring their teams together. Get the eBook to discover what this looks like in action ⬇️

79% of product, design, and engineering leaders are already using AI for prototyping - or plan to by 2027. The bigger question: Are you deciding what to build before you start building it? Jump to code too early and you risk building the wrong thing faster - with more rework when you eventually discover it. This guide covers: 🔍 The 3 categories of AI prototyping tools 🎯 When each one earns its place 📊 A scorecard to rank your shortlist based on how your team actually works

Rapid prototyping is easier than ever. Aligning and deciding - harder than ever. That's where most fast prototypes fail to turn into the right product.🗑️ This guide gives product leaders: ✅ A question set to help you home in on requirements and priorities ✅ An overview of the AI prototyping landscape ✅ A tooling evaluation framework and scorecard to help you decide where to invest

Building prototypes is faster than ever. Building the right thing is still the hard part. That's where most AI initiatives lose momentum. 🗑️ This guide gives product leaders: ✅ A question set to help you define requirements and priorities ✅ An overview of the AI prototyping landscape ✅ A tooling evaluation framework and scorecard to help you decide where to invest

Vibe coding tools make it easy to prototype fast but alignment on what to build still takes real work 🤝🛠️ Go into code too early, and speed turns into building the wrong thing faster. This guide maps the AI prototyping landscape and helps product leaders choose the right approach at the right time.

How did Lufthansa Group's Miles & More loyalty program cut product ideation from over two weeks to less than a day? ✈️ With Miro Prototypes, product managers can turn ideas into interactive prototypes, gather feedback, and align on the right solution before development even begins. The result? Faster iteration, less rework, and more confidence in what gets built.

Great product ideas shouldn't have to wait weeks to become reality. 🚀 At Lufthansa Group's Miles & More, limited design resources made it difficult to visualize ideas, validate solutions, and align stakeholders before development. With Miro Prototypes, Lufthansa Group's Miles & More loyalty program managed to overcome its design resource limitations and to: 💡Rapidly visualize ideas 🤝 Gather feedback and align in real time ⚡Go from ideation to validation in less than a day

Endava's clients can't risk an AI hallucination, so the decision-making authority is always a person. That principle is written into the work itself, down to the markdown files, so no agent can go rogue. Agent-to-agent coordination exists, but the core of the model is agent-to-team collaboration. It rests on a value the company held long before AI arrived: technology is the how, people are the why. Endava kept that through the whole transformation.

Endava's clients can't risk an AI hallucination, so the decision-making authority is always a person. That principle is…

Rapid prototyping is easier than ever. Aligning and deciding - harder than ever. That's where most fast prototypes fail to turn into the right product.🗑️ This guide gives product leaders: ✅ A question set to help you home in on requirements and priorities ✅ An overview of the AI prototyping landscape ✅ A tooling evaluation framework and scorecard to help you decide where to invest

Rapid prototyping is easier than ever. Aligning and deciding - harder than ever. That's where most fast prototypes fail …

Messy brainstorms don’t have to stay messy! I’ve been testing the new AI features Miro launched at Canvas 25, and it’s made organizing my creative process so much easier. Be the first to try it out — join Miro’s early access waitlist to explore these new capabilities. The link’s in my bio. ✨ #Canvas25 #MiroPartner @MiroHQ