This strategy is grounded in findings from the Executive Insights Report: Strategies for Cloud and AI Transformation. Developed in partnership with AWS, this research shows how C-suite leaders are making a connected cloud foundation a top priority to unlock the full potential of AI.
AI only delivers when your foundation is connected — here’s the playbook
Moving to cloud is more than just a modernization step. It’s about creating a connected foundation that unlocks new capabilities, supports how teams really work, and enables AI-powered workflows. Without this, AI tools end up on disconnected systems and produce scattered results.
Our recent study shows that AI is a major driver of companies’ cloud adoption, along with cost savings. Organizations that make the switch gain more flexibility and can scale faster, especially when leaders set a clear path for success.
Moving to the cloud is a huge shift — and without rethinking how teams plan and share information, old habits like working in silos or duplicating effort can follow them there, slowing things down
Why consolidating your tech stack matters
Moving to the cloud creates an opportunity to rethink how teams work, not just where their tools run. The most successful organizations use that moment to consolidate scattered tools and eliminate the silos and repetitive work that slow teams down.
By adopting Teamwork Collection, which brings together Jira, Confluence, Loom, and Rovo, they connected goals, projects, and knowledge in one place, so teams spend less time searching and more time moving work forward.
Scaling global collaboration across 150 sites with Cloud Enterprise
For large, global organizations, uniting users, data, and security is about empowering teams to work their way, while IT maintains visibility and governance. With Cloud Enterprise plan, companies can support up to 150 sites, all under one roof. This means each business unit or region keeps the flexibility to do what works best for them, while IT provides the oversight and connection needed for smarter, organization-wide AI insights using the Analytics app.
When teams work from a single, connected hub, they spend less time untangling messy workflows or hunting for information. It’s easier to spot where work overlaps, share context, and build trust across teams. For tech-focused teams, this means fewer headaches from tool-switching and less time lost to broken processes. And because AI is woven into every part of planning, building, and sharing, Teamwork Collection doesn’t just improve coordination; it helps teams deliver results that matter.
Three key pillars for transformation
A cloud ecosystem helps teams work toward shared goals, and 48% of leaders say it improves collaboration. With this in mind, tech-focused teams focus on three pillars: speed, clarity, and impact.
Pillar 1: Building a connected system for work and intelligence
When planning and documentation live in separate, disconnected tools, teams lose time hunting for context. A connected system eliminates that friction
The Teamwork Graph is Atlassian’s data intelligence layer that automatically links work, people, and knowledge — surfacing the right information where and when it’s needed, without manual upkeep. Jira drives planning and execution; Confluence serves as the shared knowledge base. Together, they ensure decisions, updates, and context stay connected so teams stop switching tools and start moving faster.
Pillar 2: Strengthening teamwork for better results
Teams that align their work with goals are 6.4 times more likely to deliver high-quality results. Loom helps teams stay aligned by making it easy to share richer context with visual walkthroughs and spoken details —so everyone can act on the same information, no matter where or when they work. A Forrester Total Economic Impact™ study found that Loom delivers a 232% ROI by cutting weekly meeting time by 15%, saving users an average of 27 minutes per week that can be used for more valuable work.
Loom lets teams send video messages across locations, replacing low-value status meetings with async videos that keep tone, intent, and visual details clear. New hires get up to speed 30% faster when live training is replaced with Loom video libraries. Included in Teamwork Collection, Loom is a key part of a connected work system: a recorded walkthrough can quickly become a Confluence page, which Rovo can turn into a guide or Jira work item, so conversations become action.
Pillar 3: AI that drives real progress
Today, 52% of leaders say AI is a main reason for moving to the cloud. Rovo brings AI right into the workflow across Teamwork Collection, letting teams search, automate tasks, and use agents to complete work more efficiently.
Rovo helps teams coordinate, automate, and find insights in your organization’s knowledge base. Teams don’t need to learn new tools because Rovo works inside Jira, Confluence, and the workflows they already use. This helps everyone make smarter, faster decisions.
Real-world impact: With Rovo’s AI built into Jira, Confluence —the tools your teams already know — adoption is easy, and results show up sooner across workstreams. Teams company-wide use Rovo to find information faster and reduce cognitive load, allowing engineers to stay in the flow of their work without switching tools.
Gaining a competitive advantage
Organizations that adopt the cloud and connect their planning, knowledge, and teamwork move faster, make better decisions, and turn AI into a real advantage.
Teamwork Collection brings all these parts together:
- Jira: Plan and prepare with full visibility across goals, projects, and teams
- Confluence: Build and share the organizational knowledge that supports every decision
- Loom: Communicate asynchronously to keep teams aligned without extra meetings
- Rovo: AI teammates that coordinate, automate, and find insights from your team’s work and knowledge
The real question isn’t just about moving to the cloud. It’s about whether your teams are ready to succeed once they get there.
