Teams | Collaboration | Customer Service | Project Management

As AI agents handle more customer conversations, knowing how they perform matters. AI Agent QA lets teams evaluate AI agent conversations using the same QA tools as human agents. Automatically or manually review bot interactions with scorecards, track results in dashboards, and monitor key metrics like escalations to refine AI workflows and improve support quality. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.

Learn how to use Miro AI + MCP (Model Context Protocol) to turn visual ideas into a working application in record time. In this video, we walkthrough a complete "Agentic Workflow" designed for hackathons and rapid prototyping. We start by using Miro AI Workflows (Flows) to transform a simple idea into a comprehensive project brief, user stories, and high-fidelity mobile prototypes. Then, we leverage the Miro MCP server to give an AI agent (Claude Code) full context of our board to generate a production-ready Node.js app automatically.

As AI tools get more powerful, a fair question keeps coming up –– If AI can connect everything, do you still need a PSA? With AI agents, MCP, and a bit of low-code creativity, it can feel like you could stitch together your own operating stack. That assumption misses an important distinction –– AI is an accelerator. It’s not infrastructure. For professional services businesses, reliability, structure, and trust come from having a clear system of record underneath it all. That’s what makes automation sustainable, reporting credible, and decisions defensible.

AI is quickly becoming the control center for operations teams. MCP is the next step – letting AI tools like ChatGPT, Gemini or Claude, securely connect to your systems and actually take action, not just respond to prompts. But there’s a catch. AI doesn’t fix messy operations. If your information is scattered across tools, spreadsheets, and workarounds, AI just amplifies the mess. The real value shows up when there’s a clear system of record underneath it all.

Cemre Güngor has helped shape how billions interact with technology, from Facebook and Instagram's global sharing experiences to Figma's AI-powered workflows, and now reimagining the browser at The Browser Company with Dia. In this conversation, we break down: Jira Product Discovery is the home for all your product ideas, customer feedback, and bets, so you can prioritize what actually matters and share living roadmaps with your stakeholders. Turn scattered requests and spreadsheets into a single, shared source of truth that connects directly to delivery in Jira.

Your AI coding agents, now more powerful, connected to visual collaboration. With Miro's MCP server, you can now understand exactly what your codebase looks like, and translate your inputs to generate new code, instantly. Onboard faster onto existing codebases with Miro's MCP server - connect to Cursor, Claude Code, GitHub Copilot, AWS Kiro, OpenAI Codex, or any other tool and visualize your codebase directly as a diagram, document, or table, making it easier to understand and collaborate with your team to build on top of what already exists.