Miro is making an ambitious play to become the connective tissue of the AI-powered workplace, unveiling a sweeping set of platform upgrades aimed at solving one of enterprise AI’s biggest emerging problems: collaboration breakdown at scale.

At Canvas 26, the company introduced major enhancements to its AI ecosystem — including upgrades to its agentic AI tools, Sidekicks and Flows, alongside new Connectors designed to integrate workflows across the enterprise.

The move positions Miro not simply as a digital whiteboard provider, but as a central coordination layer where employees, AI agents, and business context converge to make decisions, solve problems, and accelerate execution.

The timing is significant. While generative AI has dramatically boosted individual productivity, many organisations are struggling to translate those gains into company-wide transformation.

Instead, enterprises are increasingly confronting fragmented workflows, disconnected AI systems, and siloed collaboration between humans and machines.

Miro argues the challenge is no longer just about access to AI tools — it is about orchestration. As teams now operate across three parallel modes of work — human-to-human, human-to-agent, and agent-to-agent — visibility and alignment are breaking down.

In many cases, AI is accelerating inefficiency rather than eliminating it, with inconsistencies only becoming visible once projects reach execution.

Miro’s answer is the canvas itself: a shared collaborative environment where teams and AI agents can work in context, together, rather than in isolation.

The company says its platform is designed to unify these emerging modes of collaboration into a single operational layer, helping organisations move beyond isolated productivity gains toward coordinated, enterprise-wide impact.

“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.”

“A collection of 10x people pulling in different directions transforms to become a 10x company pulling in the same direction.”

“Every organisation will need to make that shift to stay competitive. That’s the outcome we’re building toward.” said Khusid.

Miro is also leaning into a message many AI vendors are beginning to rediscover: human collaboration still matters.

While agentic AI is becoming increasingly capable, the company maintains that trust, judgement, creativity, and shared understanding between people remain at the centre of meaningful innovation.

“AI is more powerful when it supports and augments teamwork,” said Wayne Kurtzman, Research Vice President, Collaboration and Communities, at IDC.

“Leaders must seek out the tools and technologies that enhance their teams’ creativity, agility, and innovation.” said Kurtzman

“As work becomes more agentic, AI’s ability to connect to work, alongside teams, becomes critical to tackling bigger challenges.” he said.

“Accelerating work with AI in a silo creates speed without direction — and that’s a problem,” said Matt Cloke, at CTO Endava.

“What Miro brought to life for me was the importance of keeping context on the canvas, where everyone can see and build on it.” said Cloke

“People think about context as static things — documents, images — but everything can be visual context: a sticky note, a table, a workflow, even a pop-up interaction.”

“Having that context accessible and connected is what makes AI powerful. How you parse it through and onwards to other elements of AI — that’s where the real value is.” he said.

Key updates announced at Canvas 26 include:

• AI agents can now work directly inside Miro’s canvas, with expanded integrations across Slack, GitHub, Atlassian, ChatGPT, Claude, and Microsoft Copilot.
  
  
• Sidekicks evolves into an agentic “thought partner,” able to interpret intent, generate full boards, retain context, and support voice-based collaboration.
  
  
• Flows expands workflow automation, connecting systems to run recurring work, manage approvals, and synchronise tasks across tools.
  
  
• Miro Prototypes adds AI-powered capabilities including code-to-prototype generation, multi-variant design creation, Figma integration, and automated brand styling.

The updates mark a clear push by Miro to move beyond traditional collaboration software and into the emerging layer of agent-driven work.

By embedding AI agents directly into the canvas, extending automation across systems, and deepening its design and prototyping capabilities, the company is positioning itself as a central hub where ideas, execution, and AI increasingly converge.

The broader ambition is less about adding tools and more about reshaping how work flows across organisations — turning fragmented, multi-tool processes into a connected, context-rich environment where teams and AI systems can operate together in real time.