Teams | Collaboration | Customer Service | Project Management

Secure AI adoption with data loss prevention (DLP)

AI makes your organization’s knowledge easier to find and use. That’s the whole point. But it also means sensitive data moves faster, surfaces in more places, and becomes harder to track. The pressure to act is real, but the playbook isn’t new. You still need to know where sensitive data lives, govern how it’s being used, and prevent it from unauthorized exposure. AI is now giving you a reason to revisit your data security posture and make sure it’s strong enough to keep up.

What 5M+ daily MCP tool calls taught us about the future of AI at work

Less than six months ago, the Atlassian Rovo Model Context Protocol (MCP) server went GA, giving Claude, Cursor, and every major AI agent direct access to Atlassian for our customers. Today, over one million users trust it every month to do real work through agents. But that number isn’t the story. The story is what’s happening inside those interactions: how AI agents are actually being used at enterprise scale, and who’s getting the most value.

No Lost Luggage, No Lost Context: How Flight Centre Delivers with AI

Great ideas from workshops. Lost somewhere in the handoff. That's the problem Flight Centre Travel Group set out to solve — and at Canvas 26 Sydney, Global Chief Product Officer Wendie Lee and Head of Design Hans Barroga share exactly how they're tackling it. In this fireside chat, they discuss how Flight Centre is reimagining their product operating model across multiple brands and markets with Miro — using AI to make sure context doesn't get left behind when a collaborative session ends and the real work begins.

The COO's Guide to Measuring ROI with Workforce Analytics

Most COOs can tell you their revenue per employee. Far fewer can tell you why that number moved last quarter, or where it is heading next. Workforce decisions made without data carry a real and recurring cost, including avoidable turnover, idle headcount, overtime bleed, and compliance exposure, all of which only show up once it is too late to act on them.

Real-time monitoring: Spot and resolve service issues before they escalate with AI | What's New

Real-time monitoring gives support teams a live view of service operations so they can spot issues early and respond faster. Track anomalies, monitor ticket trends, evaluate agent availability, and identify urgent conversations before backlogs grow. With Monitoring Assistant and live operational dashboards, teams can take proactive action to improve productivity and reduce resolution times. 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.

What Is an HR AI Agent? | HR Chatbot vs AI HR Agent | How to choose one in 2026!

What is an HR AI Agent, and how is it different from a traditional HR chatbot? If you're an HR Manager, CHRO, HR Executive, or business leader exploring AI for HR, this video explains everything you need to know before investing in an HR AI solution. In this video, you'll learn: What an HR AI Agent actually is HR Chatbot vs HR AI Agent: What's the difference? How AI HR Assistants automate repetitive HR work Real HR workflow examples like parental leave, employee benefits, and onboarding What HR AI Agents can and can't do How to evaluate the right AI solution for your HR team.