Teams | Collaboration | Customer Service | Project Management

AI has made every individual faster. The harder question — one we spent the day discussing at Canvas 26 Sydney — is whether it’s made teams faster. Those aren’t the same thing, and confusing them is where a lot of organizations’ AI ambitions get stuck. Jacky Koh has watched it happen up close. As founder and co-CEO of Relevance AI, an AI workforce platform used by Canva, Databricks, and Uber among many others, he spends his days helping companies put agents to work.

Whether I speak to customers or Atlassian’s own engineering teams, the message is consistent: the unprecedented adoption of powerful coding agents has transformed software development, but the hard parts of delivering software are…gasp…still pretty hard. Teams still have to decide what to build, and why it should exist. They need to understand the system they’re changing and which constraints matter.

Monday morning shows up, your calendar's already full of meetings, and your to-do list is quickly turning into a novel. You know what needs doing, but what you don't have is fifteen free minutes to figure out when. That's the gap our AI Teammate, Scout, just stepped in to fill. Meet Plan my week, Scout's newest job and the fastest way to turn a pile of tasks into an actual, workable schedule.

Ask most IT and HR leaders why IT and HR need different AI tools than Copilot, and the answer comes down to how a request actually ends. IT requests resolve in an action. HR requests resolve in a lookup or a handoff. Copilot, built as a single AI layer inside Microsoft 365, treats both as the same kind of task — a question to answer — and that's where it starts to fall short for support teams specifically.

Compare AI agents vs. AI chatbots. See key differences regarding autonomy, workflow automation, use cases, and how each improves CX and EX outcomes.

In Q4 FY26, Atlassian’s People Insights (PI) team stopped treating AI as a productivity add-on and committed to something harder: fully agentifying its operations—giving AI persistent access to the team’s context, data, definitions, and workflows so it can act as a genuine collaborator rather than a smarter search engine.

Most AI talks are about the technology. Jamie Pride opened the afternoon at Canvas 26 Sydney by promising the opposite: A session about AI without really talking about AI. Jamie is CEO of Humanly Agile, and he’s had a front-row seat to a few technology waves as the CEO of REA Group, Partner at Deloitte, and one of the first employees at Salesforce. These days he works with boards, C-suites, and executives on the part of AI most strategies skip: People.