One Platform for Service, Work, and Assets: Building the Foundation for AI-First Service Management 

Monday, November 9th | 2:00 PM ET

AI can only be as effective as the context it can access. When service tickets, development work, knowledge, and asset data are fragmented across disconnected systems, AI lacks the visibility it needs to deliver accurate answers, resolve issues, and drive meaningful outcomes. 

AI-first service management starts with connected work and trusted data, not AI alone. By bringing service, development, knowledge, and asset intelligence together, enterprises can move beyond AI-assisted responses to more informed decisions, faster resolution, and more proactive service operations. 

Join enterprise practitioners as they share lessons from connecting Atlassian Service Collection, Jira, and Confluence, and how Teamwork Graph brings service and development context together. The discussion will explore integration challenges, the data gaps that undermine AI, and practical steps organizations can take to build a stronger foundation for AI at scale. 

Key Takeaways 

• Understand why disconnected context, not AI capability alone, limits service management outcomes.
• Identify the gaps between service, development, knowledge, and asset data that hold AI back.
• Assess asset data readiness and the role of trusted, normalized data in AI-driven service operations.
• Explore how connected platforms enable more accurate, proactive, and effective AI for service teams.
• Learn where to start and what practitioners have found works in real enterprise deployments.

Register now to secure your spot.