Miro has unveiled a series of platform innovations designed to solve a critical problem for operations leaders: individual AI productivity is soaring, but organisational-wide gains remain elusive . The company is repositioning its platform as the connective layer that unifies human and agent collaboration on a single, shared canvas.
The collaboration fracture
The core challenge, according to Miro, lies in fragmented collaboration. Teams now operate across three modes—human-to-human, human-to-agent, and agent-to-agent—but these often run in silos. As a result, AI amplifies misalignment rather than correcting it, and gaps only surface when work is consolidated .
“AI leverage is locked inside private chat windows—accelerating individuals, but never reaching the organisation,” said Andrey Khusid, CEO and founder at Miro. “When every collaboration mode converges on one surface, individual speed becomes company speed, and individual clarity becomes shared clarity” .
Agentic sidekicks and intelligent flows
The platform's Sidekicks have evolved from reactive assistants to agentic thought partners capable of understanding intent, breaking down ambiguous problems, and generating full board content from a single prompt. Voice interaction and persistent memory allow these agents to build context over time .
Meanwhile, Flows now extend beyond the canvas through Connectors, automating repeatable workflows such as standups and sprint reviews. These workflows pull in meeting transcripts, update project trackers, and surface Kanban views, with human-in-the-loop approval steps ensuring governance .
Connecting the enterprise stack
New connectors link Miro’s tools to Slack, Atlassian, Granola, Notion, and GitHub, enabling bi-directional data flow. Decisions made in Miro can now update Jira tickets or Slack channels without manual rework, preserving context and eliminating broken chains from insight to action .
Matt Cloke, CTO at Endava, noted: “Accelerating work with AI in a silo creates speed without direction. What Miro brought to life for me was the importance of keeping context on the canvas, where everyone can see and build on it” .
Prototypes for faster alignment
Miro Prototypes now pull code directly from tools like Claude Code and Figma, generating interactive, on-brand prototypes that teams can review and refine. Multiple variants can be compared before handoff to coding agents, reducing late-stage rework and ensuring the right decisions are made early .
With these updates, Miro positions itself as the shared decision-making layer where human judgment meets agentic output—a crucial capability for operations leaders seeking to transform individual speed into company-wide competitive advantage .
