Teams | Collaboration | Customer Service | Project Management

Miro MCP + Claude Code: Shipping Open Source Features with AI Agents

Discover how AI Agents are revolutionizing the open-source engineering lifecycle. In this technical demo, we integrate Claude Code with Miro via the Model Context Protocol (MCP) to bridge the gap between visual planning and production code. Watch as autonomous agents analyze the MCP-Obsidian codebase, gather visual context from a website, and ship a new feature, directly from sticky notes on a board to a live Pull Request.

AI in Compliance Recording: What It Actually Delivers, Where It Fails, and Why Your Foundation Matters

When checking recordings for possible compliance breaches, you shouldn't need to listen to millions of calls. AI promises to find the three that matter. But before it can help, it needs something solid to work with. Without a compliant recording foundation, AI doesn't reduce your risk. It amplifies it.

A people-centered approach to AI adoption in the workplace

McKinsey’s 2025 State of AI research lands with a clear message: AI adoption in the workplace is stalling not because of the technology but because of the people. Most organizations are experimenting with AI, but few have scaled it in ways that deliver meaningful value.

Rovo at Work: AI agents in action

Meet the next evolution of teamwork with Rovo at Work—spotlighting Atlassian’s AI agents in action. See how AI agents are working alongside humans to transform teamwork—right inside the tools you already use. In this video, you’ll learn: Watch now to see how AI can move your most critical work forward. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

Rovo at Work: Meet the next evolution of Rovo agents

Ready to see AI agents power real teamwork inside the tools you already use? What you’ll see in action: About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

Claude + Miro MCP: Full Tutorial with Claude Code & GitHub

Learn how to transform AI from a tool that just answers questions into an active collaborator that can access your Miro boards to visualize complex codebases and generate working applications. In this tutorial, we demonstrate the power of the Miro Model Context Protocol (MCP) server. We walk through connecting the protocol via the Claude Desktop Connector and showcase real-world engineering use cases, including repository visualization and context-driven app generation.

Webinar Replay: Work Smarter, Not Harder: 3 Ways To Use AI to Stand Out at Work

Stop being the busiest person in the room! Here’s how to get recognition for your AI-driven work. You’re using AI to move faster, produce more, and check off tasks at an impossible pace—but why doesn't that extra output translate to the recognition you deserve? If you're a high-performer wondering how to stand out in the AI-driven workplace, you're not alone. Speed and output alone no longer guarantee visibility, recognition, or career growth.

Miro Sidekicks Tutorial: Get Started in Minutes

Miro Sidekicks are AI teammates that work right on your canvas, helping you go from idea to action faster. Sidekicks are part of Miro's AI Workflows, designed to keep your team moving without switching tools or losing context. In this tutorial, we cover the basics: how to open Sidekicks, browse the expert library (Agile Coaches, Product Leaders, Marketing Experts, and more), and set a default Sidekick for your board so everyone stays aligned.

Driving AI adoption through trust: Insights from Atlassian designer Rachel Shepard

At World Summit AI on October 9th, Rachel Shepard shared how Atlassian tackled this challenge by rethinking the presentation of ‘agents’ in AI design. Rachel, an AI design leader at Atlassian, shares a recent case study from a cross-functional design sprint that explores how we should introduce agents to users and why the team moved away from agent-focused UX in favor of simpler, composable Skills. Rachel brings deep experience in AI platform design and responsible AI frameworks.