Solve common workplace AI challenges
5 min
By the end of this lesson, you’ll be able to:
- Explain the business impact of ineffective AI practices
- Identify common challenges teams face when integrating AI
- Identify best practices to make AI a valuable team member
The business impact of poorly integrated AI
When AI integration challenges aren’t addressed, organizations face real costs:
- Wasted resources: Time and money spent on AI tools that aren’t actually used by teams.
- Missed opportunities: Teams may fail to innovate or react promptly to changes, opportunities, or threats in their business environment.
- Reduced productivity: Poorly integrated AI can slow down workflows.
👇Click the icons below to explore statistics about common AI integration concerns
These insights come from research conducted by Atlassian found in our State of Teams 2025 report and AI Collaboration Report.
Overcome common AI integration obstacles
AI has the potential to improve teamwork, but many organizations face challenges when trying to unlock its full value:
- Data silos: Isolated information makes it difficult for AI to access what it needs.
- Security and privacy: Concerns about data privacy and compliance can delay or block AI adoption.
- Limited understanding: Teams may lack the knowledge or training to use AI effectively.
- Poor integration: AI tools that aren’t embedded in daily workflows can create confusion and friction.
How Atlassian addresses common challenges
Atlassian provides a range of solutions designed to help companies solve issues related to data silos, security and privacy, and collaboration.
👇 Explore how these challenges are addressed with Atlassian apps
Atlassian connects its apps (like Jira, Confluence, and Trello) through a unified platform. This means information from different apps is linked together, so AI features like Rovo can search, analyze, and provide insights using data from across the organization, rather than just from one app or team.
Make AI work for your team
Atlassian’s approach to integrating AI is rooted in our System of Work Practices—a set of principles designed to help teams collaborate openly, move quickly, and continuously improve. These practices emphasize transparency, inclusivity, and adaptability, ensuring that teams can respond effectively to change and deliver value together. When it comes to AI, our recommended best practices are organized under three core practices:
- Use AI to make faster, better decisions
Let AI surface relevant data and recommendations to help teams act with confidence and agility. - Empower everyone to build with AI
Give all team members—not just technical experts—access to AI tools. This encourages experimentation and continuous improvement. - Make AI part of the team
Integrate AI into daily work so it collaborates alongside humans. AI should suggest next steps, answer questions, and automate routine tasks to boost productivity.
By aligning AI integration with these pillars, teams can unlock the full potential of AI while fostering a collaborative and innovative culture.
To learn more about Atlassian’s approach to the system of work and recommended practices, visit Atlassian’s System of Work.