Teams | Collaboration | Customer Service | Project Management

Claude Tag: Anthropic's Slack Takeover?

On June 23, 2026, Anthropic launched a product that should keep Slack’s leadership awake at night, and it launched it inside Slack itself. Claude Tag lets any employee mention @Claude in a Slack channel and hand it real work: watch threads, draft documents, fix code, chase forgotten follow-ups. It doesn’t behave like a bot. It behaves like a colleague, one that never sleeps, never forgets what was said in the channel last Tuesday, and never needs to be trained twice.

What an AI Contact Center for Financial Services Looks Like Inside Microsoft Teams

Customers have learned to expect that service should work like a conversation: describe the problem in plain language, get it resolved. Tools like ChatGPT and Gemini set that bar, and most contact centers fall short of it. The obvious fix is to add AI, yet MIT's NANDA initiative found that around 95 percent of enterprise generative AI pilots never reach measurable value. So the question worth asking is not whether to put AI into customer service.

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.

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.

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.

How AI Automation is Rewriting the Rules of Team Productivity in 2026

Team messaging has come a long way from the basic chat apps of a decade ago. Back then, the goal was simple: get everyone on the same page quickly. In 2026, that baseline expectation feels almost quaint. Today's high-performing teams aren't just communicating—they're operating inside intelligent systems that anticipate needs, eliminate busywork, and turn raw conversation into measurable progress.

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.