Miro Pulse Brazil: Co-create the next big thing with AI

Kick off Miro Pulse Brasil and dig into what it actually takes to bring AI from individual wins to organization-wide impact.

AI is making individuals dramatically faster, yet 80%+ of companies see no measurable productivity gain — because the value doesn't lag, it leaks at the handoffs between people. Grisha Pavlotsky (Chief Transformation Officer, Miro) unpacks "Acceleration Drift": why the real unit of AI transformation is the workflow, not the individual, and why that change can only come from the top.

Everyone is building faster with AI. The organizations 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.

AI is transforming individual productivity. Copilots, agents, and assistants have begun supporting professionals in creating documents, analyses, hypotheses, and decisions at an unprecedented speed. At the same time, AI is expanding the capabilities of individuals like never before. But a new question is beginning to emerge: How to transform thousands of individual learnings into a lasting organizational capability? In this session, Amanda Appel de Castro (Head of Product, Itaú Unibanco) will share how the Itaú Way of Producing (JIP) has been evolving mental models, behaviors, and ways of working towards an increasingly AI-first reality. Based on the learnings from a pilot conducted with Miro, we will discuss how shared context, organizational memory, AI agents, and new forms of collaboration can help organizations transform distributed knowledge into collective learning.

If you work in product, you know the nightmare: endless workshops, burnt-out teams, and the struggle to reach consensus. The result is cognitive fatigue and wasted time.

There's a better way. In this talk, Michel Soares and Murilo Esteves Junior from Banco Banestes will show you how they built an AI assistant that automates the end-to-end concept development process. You'll discover how to use Miro AI Flows to spark creative divergence, push teams to think outside the box, and converge on a single vision. All in just one day.

What you'll take away:

• From 5 days to 1: how to drastically reduce concept development time and operational costs
• AI in practice: less theory, more execution — how to use AI as a real catalyst for innovation
• Frictionless alignment: how to unite your team around a clear purpose, without the burnout

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

AI has accelerated every phase of the product development lifecycle: ideation, prototyping, coding, shipping. But faster output is only valuable if it's the right output. As teams scale AI across the workflow, a new bottleneck appears. Not building speed, but building direction. Knowing what to generate, what to validate, and what is actually worth shipping.

Thomás Camargo (Director of Product, Design & Engineering, Ambev), Raphael Farinazzo (CEO, PM3) and Paulo Chiodi (Founder, Product Guru's) are in the middle of rebuilding how their teams work with AI. In this panel, they share what that looks like in practice: the structures they are putting in place, the tradeoffs they are navigating, and what it actually takes to move fast without losing direction.

What you'll take away:

• How to integrate AI across the full product lifecycle, from discovery to delivery, not just individual tasks
• How to close the gap between what AI generates quickly and what is actually ready to build
• How to maintain direction and team alignment as the pace of output accelerates

For years, the biggest source of friction between design and engineering had a name: the handoff. Design delivered the screen, engineering reinterpreted it in code, tokens drifted apart, and the cycle started over. The first wave of AI promised to fix this by making each person faster. But individual speed doesn't fix friction that lives between roles. When Carolina Gancev (Head of Product and Design, Creditas) built Lemon Pie, Creditas's AI-native design system, engineering stopped receiving the screen and started opening the PR. The human role didn't shrink. It became more central: deciding what enters the system and what's actually worth building. But the bottleneck didn't disappear. It moved. What you'll take away:

• Where the bottleneck moves when AI closes the gap between design and engineering — and how to manage it
• What an AI-native team structure actually looks like in practice, beyond the productivity gains
• What your team needs to unlearn to make the transition work

AI made you faster, but is your team aligned? Join this interactive session for startups about speed, culture, and collective intelligence in the age of AI. What you will learn:

• Why individual speed with AI isn't always team alignment, and how to recognize the 3 signs of misalignment in your team.
• How to transform dispersed context (calls, docs, dashboards) into shared decisions with AI, in practice.
• How to use the Miro Startup Program to keep your team aligned while growing rapidly.

This session has limited seats. If you're interested in attending, please reach out to Jair@miro.com.

Every team has AI tools. The pilot always works. Scaling it to how the whole team actually delivers is where most organizations get stuck. Claude for discovery, Cursor for engineering, Jira for tracking delivery, ChatGPT for everything in between — and almost none of it connects. What bridges that gap isn't another tool. It's a layer that takes what individuals are producing with AI and makes it usable across the whole team.

In this session, Marcelo Yassuo (Head of Data, Comgas) and Bruno Albano (Group Product Manager, Itaú) share what building that layer actually looked like — the decisions they made, the structures they put in place, and what it took to go from AI wins that stayed with individuals to AI that moved the whole team forward.

What you'll learn:

• How to define what your connective layer needs to do — and what you need to decide before you pick any tools
• How to make AI accessible across your whole team — not just the people who are already technical
• Why the people challenge is harder than the technical one — and how to actually manage it

Coffee, conversations, and a chance to catch up.

Most organizations have seen AI deliver at the individual level. Productivity is up. Teams are moving faster. The business outcomes — revenue growth, cost reduction, faster time to market — haven't followed. AI is working and stalling at the same time. The reason is rarely the technology. It's the structures, processes, and ways of working that were never redesigned around it. Igor Freitas (CIO/CTO, Cogna), Fernanda Faria (CPTO, AB InBev), and Mariana Zaparolli (Director of Digital Capabilities and Accelerators, LATAM Airlines) are actively closing that gap. In this panel, they share what it's taken: the hard decisions, the governance models that actually scale, and the organizational changes that made the difference. What you'll take away:

• Why AI gains stay individual and what has to change structurally to make them organizational
• How to build governance that enables experimentation without losing alignment at scale
• What it looks like to redesign how teams work, not just the tools they use

The market is full of tools to accelerate software development. But what about upstream? How do we accelerate end-to-end without discovery becoming the new bottleneck, and without losing direction along the way?

Ulysses Fredericci (Head of AI Engineering & Innovation, CI&T) shares lessons learned from applying the Agentic SDLC across multidisciplinary teams at scale: 20 teams operating with humans specifying and reviewing, while agents build. The gains can reach 20x! And that's where the real challenge emerged: as delivery accelerated, the bottleneck shifted upstream.

The answer was to take strategy off the slides and put it where AI could act: OKRs, user feedback, product shaping, and long-term vision captured as versioned knowledge, built with the participation of managers. With end-to-end traceability from tasks to OKRs, AI begins to help defend the company's strategy, enabling better prioritization and stronger connections across work.

What you will learn:

• How discovery roles are reshaped when agents take over the building process, and the reskilling path that enables design, product, and operations teams to work effectively with agents.
• How to move strategy from slides into a format where people and agents make aligned decisions toward the same objectives, with managers actively involved in the process.
• Which controls are effective when AI moves beyond suggesting and starts acting, building, deploying, and validating.

Getting teams to use AI is the easy part. The harder question is what kind of leadership that actually requires.

When speed goes up, clarity doesn't always follow. Teams are experimenting, building new ways of working, making decisions faster — but without the right organizational conditions, that momentum creates noise more than direction. The leaders navigating this well aren't the ones moving fastest. They're the ones who've created enough clarity for their teams to make good decisions, collaborate around a shared way of working, and turn individual experiments into real change.

Vanessa Carvalho (Head of Intelligence and Performance, FARM Rio) and Stephanie Fischer (Head of Product and Engineering, Grupo Boticário) will share what that has looked like from the inside — the decisions they've made, the assumptions they've had to revisit, and what they've learned about leading well when the environment keeps shifting.

What you'll take away:

• How to create organizational clarity when AI is accelerating the pace of decisions around you
• Why empowering teams to find better ways of working beats top-down tool mandates
• How to know if your team's AI momentum is building toward something, or just creating more noise

For too long, Product Discovery has been treated as a solitary endeavor, isolating Product Managers and Designers from the rest of the business. But building great products requires a village. In this session, Quezia Mara Miyazaki de Paula (Head of Product Experience & Product Design, EBANX) will explore why she created a structured Product Lifecycle at EBANX and how it shifted their culture from isolated work to radical collaboration.

By leveraging Miro as their central nervous system for collaboration, combined with AI, they transformed Product Discovery into a true team sport. You'll learn how to engage cross-functional teams, distribute ownership, and create a deep sense of belonging that not only drives better business outcomes but also serves as a powerful antidote to employee turnover. Discover how bringing everyone around the same (virtual) canvas can change the way your company builds products.

What you'll take away:

• The Power of a Unified Product Lifecycle: Understand why establishing a clear Product Lifecycle—drawn from our experience at EBANX—is crucial for breaking down silos and aligning the entire business around product goals.
• Fostering Ownership to Drive Retention: Learn how engaging different teams during the discovery phase creates a shared sense of belonging and accountability, ultimately boosting morale and reducing employee turnover.
• Supercharging Collaboration with Miro and AI: Discover actionable ways to use Miro's capabilities and AI tools to facilitate dynamic, cross-functional discovery, ensuring every voice is heard and effectively synthesized.

A moment to celebrate the community in the room, reflect on what the day surfaced, and leave with a clear charge: the window to build differently is open. What you do with it starts tomorrow.

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