Teams | Collaboration | Customer Service | Project Management

Meet Zendesk Contact Center: The direct path to an agentic contact center

Great customer service should feel effortless, like magic. Yet legacy systems and bolted-on AI leave support teams trapped in complex mazes of disconnected tools, missing context, and endless ticket transfers. Meet Zendesk Contact Center: Your direct path to an agentic contact center designed for complete resolution, not just routing. 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.

Jira AI Agent Guide 2026: How to Automate IT Support with Jira Service Management

The service desk is becoming a natural proving ground for AI agents. That makes sense. IT support contains exactly the kind of work AI agents are increasingly designed to handle: repetitive employee requests, fragmented knowledge, predictable troubleshooting steps, approvals, system lookups, and actions that need to happen across multiple applications.

Atlassian's usage-based pricing: AI value with predictability and control

AI is changing what entire organizations can accomplish. As it moves beyond individual productivity to orchestrating entire workflows, the value of software outgrows what seat count alone can capture. Atlassian customers are already realizing tangible business value from AI and automations, from reporting processes that run up to 40x faster with agents to saving 400 hours per month with automations.

Streamlining AI Project Workflows With Modern Team Collaboration Software

Deploying artificial intelligence in a legacy corporate environment requires constant, real-time coordination across entirely different technical departments. When organizations force brilliant data scientists to communicate through outdated email threads, the entire machine learning pipeline grinds to a devastating halt. The harder companies fight to maintain siloed update methods, the faster their high-profile AI initiatives sink into operational quicksand.

5 Best AI Note Takers for In-Person and Hybrid Team Meetings in 2026

Hybrid teams run into a documentation problem that purely remote teams rarely face: meetings happen in two places at once. Some people are in the conference room. Others are on a screen. The person taking notes is trying to capture what the room is saying while also following what's being said on the call. Something always gets missed.

Rocket.Chat 8.8 introduces native MCP server for AI agents

Every AI assistant or automation connected to a messaging platform needs a way to act on your behalf: sending a message, managing a channel, pulling context from a conversation. Rocket.Chat 8.8 gives agents a standard way to do that with a native MCP server, so any MCP-compatible agent can work inside your workspace without your team building and maintaining a custom integration for it. This release also brings tighter security and more reliable calling.