Teams | Collaboration | Customer Service | Project Management

When Elena Verna joined Lovable, an AI-native startup, she wasn’t chasing another growth role. “I actually wanted to retire before I hit Lovable,” she admits. After leading growth at Dropbox, SurveyMonkey, Miro, and Amplitude, she’d seen the same patterns play out again and again. “I couldn’t do another gig where I felt like I’m doing growth 101. Onboarding flows, lifecycle emails, A/B tests.

96% of companies haven’t seen meaningful business value from AI. And yours might be one of them. IT leaders are spending big anyway – and wondering why projects still slip and service metrics refuse to improve. According to Atlassian’s AI Collaboration Index, 96% of companies haven’t yet seen meaningful business value from AI, despite widespread investment. AI has made it easier to get work done, but not easier to work together.

The learnings in this blog post are based on sessions from Atlassian’s Teamwork in an AI era event featuring Forrester Senior Analyst Will McKeon-White and Atlassian’s Teamwork Lab. You can check out these sessions and others on demand. Everything’s moving faster. Decks are drafted in an afternoon. Customer emails write themselves. Reports that used to take a week now show up in your inbox overnight. But the faster your teams move, the harder it gets to keep everyone on the same page.

AI is everywhere. It drafts emails, summarizes meetings, analyzes data, and writes a first pass of project briefs. On an individual level, it’s working. In our research at Atlassian, we found that knowledge workers say AI is helping them save 76 minutes per day. That’s the shallow end – useful, energizing, and a good way to build momentum.

Introducing Remix with Rovo and partner agents in Confluence — a new way to instantly transform Confluence pages into charts, prototypes, presentations, and apps.

The AI productivity paradox is real. Here’s how to turn AI busywork into real impact.

Rovo Dev code reviewer reviews your pull requests (PR), proactively catching quality, security, and performance issues early while recommending best practices for code quality and maintainability. Recognized by ICSE 2026, code reviewer is observed to reduce 30.8%of the PR cycle time.

If you’re a PM or PMM, your research cycle probably looks something like this: We recently ran this entire cycle completely asynchronously in a single afternoon, and ended up with an interactive, stakeholder-ready research report. It was all about changing how we spent our time and seeing what actually changes when AI is part of the whole research workflow, from raw interviews to a report that stakeholders will read and trust.

Classic ROI math is linear—but AI value compounds. Here’s how to measure enterprise AI ROI over time.

The real advantage of using AI comes from teaming up, not just speeding up.