Teams | Collaboration | Customer Service | Project Management

What is the Role of AI in Employee Monitoring?

Remember when “checking in” meant stopping by someone’s desk, not logging into surveillance software? Well, that world vanished overnight in 2020. Now, three years after offices emptied, companies face a workforce management crisis they never asked for — how to oversee employees without turning into Big Brother. The numbers show that before COVID hit, about 30% of large employers used monitoring tools. Today, that figure has doubled to 60%.

How Design Ops built an AI teammate with no engineering lift

Our Design Ops team supports more than 600 designers across Atlassian. And like most operations teams, we were seeing the same pattern over and over again: important questions landing in Slack, manual triage happening in the background, and too much useful knowledge trapped in docs that people either couldn’t find or didn’t have time to read. We built DOT, the Design Org Teammate, to change that.

Automations in Jira with Cursor | Atlassian

What if every incoming issue could trigger Cursor Agent automatically? With agent automations in Jira, you set a condition, like a specific summary prefix for security issues or improvement requests, and when a matching ticket lands, your chosen coding agent (Jira Coding Agent, Claude, or Cursor) picks it up and gets to work. No manual triage, no delay. Set it once, and your agents do the rest. Watch to see how to wire up agent automations in Jira step by step.

Miro x Endava: Powering Dava.Flow AI-Native Delivery

Miro and Endava have partnered to embed collaborative AI workflows into Dava.Flow, Endava's AI-native delivery model — helping global teams design, align, and deliver complex transformation programmes faster. By deploying Miro enterprise-wide, Endava is strengthening how its teams run workshops, align stakeholders, and hand over work across programmes. Early adoption is already showing measurable improvements in workshop outcomes, stakeholder alignment, and handover quality — with some processes reduced from weeks to days through automated, multi-step AI flows.

From prompts to orchestration: Scale AI coding agent impact with Jira Automation

Connect any coding agent to your system of record to automate engineering loops AI coding agents have made individual developers faster. But faster individuals working in their local environments do not automatically create faster engineering organizations. The bottlenecks that slow software delivery are usually systemic: work stalls in human queues, triage waits for idle cycles, and routine handoffs depend on manual intervention.