Summary
Leaders from Atlassian and Expedia discussed why enterprise AI remains an ongoing experimentation cycle, not a one-time transformation program. They emphasized faster learning loops, data-backed adoption, function-specific workflows, responsible cost controls, and governance that makes the safe path easy for employees.
Key Topics
5 key topics from Avani Prabhakar, Chris Burgess and Ron Miller at HumanX Amsterdam 2026. Thicker branches were mentioned more often in the talk.
Building for the AI Era
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Key Takeaways
- Create faster internal learning loops for AI experimentation.
- Measure adoption before shifting focus to business ROI.
- Give non-technical teams problems to solve with AI.
- Use telemetry and AI wallets to manage token costs.
- Make governed AI usage easier than workarounds.
“the only way to learn more about AI is just by creating faster learning loops internally”
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