Teams | Collaboration | Customer Service | Project Management

BPO compliance starts with the software an outsourcing team runs on every day, not the policy document sitting in a compliance folder. BPOs handle enormous volumes of sensitive customer data across large, distributed, and often remote agent teams, and when something goes wrong, it is the compliance team that has to explain what happened, who had access, and what evidence proves the organisation met its obligations.

Every week, it seems like the rules change for building products. We’re all figuring this out in real time, and one of the best ways we’ve found to do that is to sit down with other leaders who are in the thick of it. That’s why Atlassian recently started a series called AI Talks at our San Francisco offices with senior leaders building AI products. We break down what’s working, what’s broken, and what feels uncomfortable.

According to Atlassian’s 2026 State of Teams report, a growing gap has emerged: while AI makes individual tasks faster, many teams are struggling to keep that work aligned. In this panel discussion, Atlassian executives share an inside look at how they are operationalizing AI within their own departments to turn early experimentation into durable, connected ways of working.

Process mining and task mining solve different problems. Learn the differences and how process intelligence combines both for insurance claims teams.

For a long time, Jira was where you went to track work. You updated a status, closed a ticket. Something important has shifted now that agents can be assigned to work items. Jira is still a record of what happened, but now it’s something else too: a place where work can move between humans and agents. That shift got me thinking. What if I leaned into it fully and ran an experiment? What if each stage of the SDLC had its own specialized agent and the board itself handled the routing between them?

Every organization now runs on a growing web of laptops, servers, cloud tools and remote endpoints. Each device carries its own operating system version, patch status, storage load and security configuration, and any one of these can quietly drift out of shape. An outdated OS, a missed security patch, a nearly full hard drive or an unmonitored network setting rarely looks urgent on its own.

Where your SaaS data actually lives refers to the physical and legal locations where your organization's cloud data is stored, processed, backed up, and shared across infrastructure and third-party services. Understanding these data locations is essential for maintaining regulatory compliance, strengthening security, supporting digital sovereignty initiatives, and deciding when cloud or on-premise deployments are the better choice for sensitive business information.

Learning how to automate employee onboarding starts with connecting the entire employee journey. A hiring event—such as an accepted offer or a new employee record—can trigger coordinated workflows across HR, IT, identity management, payroll, compliance, and employee-support systems. BambooHR notes that onboarding should continue for at least three months. When such an extended process depends on spreadsheets, repeated data entry, emails, and manual handoffs, it becomes a serious cost burden.

Managing today’s workforce isn’t just about tracking work; it’s about maintaining visibility across different ways of working. Some employees split time between home and the office, while others work fully remotely. Many others spend their day in the field. It means employees nowadays are working in different models. However, many organizations use the same tracking approach for all employees. That’s where problems begin.

Process intelligence for knowledge workers captures the top 5 workflow performance signals. Learn how to access it without a six-figure implementation.