Most organizations have run an AI pilot. Far fewer have made AI a reliable, everyday part of how their teams actually work. The gap between experimentation and meaningful adoption is not a technology problem. It is an implementation, trust, and change problem, and the teams who have crossed that gap have lessons worth hearing directly.

In this session, four European enterprise customers Deichmann, Personio, Ilkari, and Edenred will share how they moved from isolated AI experiments to measurable, repeatable workflows embedded across their organizations. Spanning industries including payment technology, HR technology, Managed Services, and Employee Benefits, these teams represent very different operating models, team structures, and starting points. What they share is a commitment to moving past proof of concept and into production. The conversation will cover how each organization identified the right workflows to begin with, how they reduced manual overhead and improved cycle times, and what responsible, governed scaling of Rovo looks like when it works in practice across Jira, Confluence, and connected tools.

Key takeaways:

• Discover how Ingenico, Personio, Ilkari, and Edenred moved from isolated pilots to repeatable, production-grade Rovo workflows that reduce manual overhead and improve cycle times across their organizations.

• Understand the specific approaches these organizations used to build internal confidence, maintain oversight, and scale agentic workflows responsibly across complex environments.
• Take away a practical, immediately applicable action you can bring back to your own AI journey and put into motion the week you return.