Teams | Collaboration | Customer Service | Project Management

Employee Experience Solutions for 2026: Top AI-Powered Platforms Compare

The employee experience platform market is more competitive than ever, with numerous solutions claiming to transform your digital workplace. But which platform actually delivers comprehensive capabilities, and how do you choose the right one for your organization?

How Zendesk Specialized AI Agents automate refund requests and sales out of the box

Your business isn’t generic — and your AI agents shouldn’t be either. In this demo, Mike Keohane (Senior Director, Product Management) breaks down how Zendesk Specialized AI Agents — like the Refund Agent — come ready out of the box to deliver real, fast results for your customers. Instead of handoffs or starting over, Zendesk Specialized AI Agents instantly understand customer requests and seamlessly handle multi-system workflows in real time.

What AI can do in performance management, and what it can't.

Performance management has been broken in most organizations for a long time. It was designed for offices, where managers could track progress through proximity and ambient visibility. Remote work removed the ambient visibility. AI is now removing the need for most traditional performance proxies.

Humans + Machines Unlocking Performance in Remote Teams

A manager copy-pasted a ChatGPT response to an employee's sick message, including the prompt fragment. The employee saw it. The trust damage was disproportionate to the effort saved. At @RunningRemote 2026, Nadia Vatalidis (Head of People, @todoist ) and Nick Francis (Chairman, @hellohelpscout ) discussed where AI belongs in performance management, and where it absolutely does not. Our take: AI can handle 90% of the synthesis work. Aggregating peer feedback, summarising months of data, addressing the recency bias that has always distorted annual reviews.

How Content Technology is powering Atlassian's AI quality

AI can sound confident about almost anything. The challenge is making sure it’s right. At Atlassian, Content Technologists are building the systems, standards, and structures that help AI deliver better outputs, removing the burden from our customers of knowing what information to trust.

AI agents that actually get work done | Zendesk Specialized Agents

Your business isn't generic, so your AI agents shouldn't be either. Zendesk Specialized Agents are built to reason, make decisions, and complete real work — so you can spend less time in meetings and more time driving results. 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.

How Asana uses AI Teammates to scale competitive intelligence across a sales team of hundreds

When Andrew King, who heads up competitive intelligence at Asana, needs to help a sales representative win a deal, the information has to be exactly right. This means sourcing specific, current details customized for each individual rep. King supports a 400-person sales team. Each rep is working different deals, facing different competitors, and at different stages of the sales cycle.

CurrentWare just got smarter about AI, inside your workplace and inside the product

AI is changing both how employees work and how IT teams manage the tools they rely on. We are building for both. This week, we added two new AI capabilities to CurrentWare Cloud. AI Usage Insights is the workplace side that shows you which AI tools your employees are actually using, how adoption is trending across teams, and where unapproved tools are showing up.

Giving AI agents design system context from the terminal: what we learned building a CLI

Earlier this year, we wrote about turning Atlassian Design System guidance into structured content that AI agents can actually use. Since then, agents have reached that content through our MCP server tools and an agent skill. We recently added a third distribution method: a command-line tool. The first question from our own engineers was a fair one: Why ship a CLI when you already have an MCP server?

AI time logging: your timesheet, already written

Open the Log Time modal in Teamwork.com, click over to the Log my day tab, and the entries are already there: an hour on a client kickoff call, thirty minutes on competitor research, two hours drafting a homepage design. Teamwork.com built each of these from the tasks and projects you actually worked in today, before you typed a single word.