Teams | Collaboration | Customer Service | Project Management

Designers and UX pros spend too much time synthesizing research and mapping flows manually. In this video, we cover four AI-powered time-savers built for design workflows: summarizing user research instantly, turning insights into a structured repository with Miro Tables, visualizing user flows without drawing a single shape, and automating the entire research-to-direction process with Flows. From discovery to design direction. Without the busywork.

That place where company strategy decks go after everyone has finished presenting them? Martin Szugat calls it the “SharePoint graveyard.” As the founder of Datentreiber, a data and AI consultancy, Martin wanted to make strategy useful long after the presentation. So he built a workflow in Miro that takes a company strategy deck, extracts its objectives and key results, and turns them into prioritization criteria stakeholders can vote on.

Miro AI is more than a chatbot. It lives directly on your canvas and can generate Flows, Sidekicks, Prototypes, Docs, Diagrams, Sticky Notes, Tables, Images, and Mind Maps from simple prompts. In this video, we walk through every Miro AI capability so you know exactly what to reach for and when, whether you are running a sprint planning session, turning customer interviews into briefs, or generating an interactive prototype from a sticky note.

Most "AI transformation" conversations stop at strategy. The harder problem is what actually changes in how a team works day to day. In this episode of Miro Reframe, Josh Guice — Principal Architect at Liatrio — shares a year of real field notes from AI enablement engagements: watching product managers shape ideas before engineering ever sees them, replacing slide-deck training with pairing and teach-back, and learning that no workflow sticks unless the team structure around it changes too.

Leandro Barreto didn't set out to build a company. He set out to help his son. As a solo founder, Leandro built Epilog, an epilepsy tracking app, almost entirely with Miro as his AI product copilot. He started with sticky notes and a rough idea on a Miro board, then connected Miro MCP directly to his IDE so his AI coding assistant could pull the data model straight off the board. From there, the same AI reviewed the architecture like a solution architect, caught duplicated data and missing entities, and turned the fixes into a 22-item project roadmap.

David Balkind runs strategy workshops without booking a room full of people. As a Specialist Innovation Advisor, David built what he calls a Strategy Café Engine — a setup where Claude, connected directly to his Miro board through MCP, runs full multi-session strategy workshops. Claude plays the facilitator (David calls it MOIRA), works through a structured innovation canvas box by box, and models different stakeholder perspectives — founder, funder, customer — to pressure-test the strategy from every angle. David checks in at key checkpoints while the canvas builds itself live on the board.