Teams | Collaboration | Customer Service | Project Management

Meet Employee Service AI Agents: Automate HR support and action flows | Zendesk

Discover how Zendesk's employee service AI agents go beyond answering questions to complete tasks directly within tools like Slack. In this video, see how AI agents handle employee requests from start to finish—whether instantly approving policy-compliant time off or routing leave requests to managers for manual review. Learn how HR teams can easily build these automated workflows using Advanced Action Flows.

Asana AI Teammates for Strategic Operations

Meet the AI Teammates built for Strategic Operations in Asana. See how the Executive Reporter turns account data into leadership-ready updates, the Portfolio Advisor flags risks before they become problems, the Program Ops Manager keeps PMO intake moving, and the Capacity Planner balances your team's workload — all learning and improving as they collaborate with your team. Key moments.

WTF Is an MCP Server? (And Why You Should Care)

So, MCP servers. You’ve probably heard about them by now. Maybe someone mentioned them in a meeting, you read about them on LinkedIn, or one popped up in a product update from one of the tools you use at work. And maybe you nodded along like you knew what it meant. No judgment. We’ve all done it. (I’ve done it more than I’d like to admit.) But the problem is, most explanations of MCP servers I’ve read are written by developers, for developers.

Zendesk Employee Service AI Agents: They get the work done

Ever feel like getting access to basic software tools takes longer than completing the actual project? You’re not alone. In this episode of Office Confessions, we look at the frustration of slow internal approval processes and how to solve it. With Zendesk Employee Service AI Agents, your team doesn't just get answers to questions — they get real work done fast. Learn how Zendesk can help eliminate internal bottlenecks and empower your employees to move faster.

Say yes to AI context without losing control: a new way to set up and govern connectors in Atlassian Administration

Maya runs IT for Beaconstone Financial, a fintech company with 2,000 employees. Her engineering teams work in Jira and GitHub. Sales lives in Salesforce. Most decisions happen in Slack threads, Google Docs, and SharePoint folders that nobody can find six months later. Leadership wants Rovo to answer questions across all of it. Her head of sales has asked for account briefs that pull in the latest Salesforce opportunity data and last week’s customer call.

AI Resource Management for Operations Leaders

Resource management is mostly admin. Checking who’s overbooked, finding cover when someone’s off, or moving every date when a client slips. AI can now take on a lot of that work, from answering questions about your schedule to actually making the changes. This guide covers what AI in resource management usually handles today, and the data it needs before you can trust it to reschedule your people.