What is this meeting about?
Performance Management & Copilot | Campari User Case
Moving the needle in HR with AI
In this session, Ivan shares how Campari Group has been rethinking performance, talent, and career growth-leveraging AI and Copilot to make it practical, scalable, and impactful for managing performance for 5,000+ employees across 26 countries.
This is not about big-bang transformation. It's about small, deliberate steps and process-focused adoption that stick, working with means available and leveraging Copilot.
Expect a user case with honest reflections: what works, what doesn't, and how to start building a strong foundation for Performance Management in an AI-driven world.
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Key take-aways:
Performance Management and Copilot Campari User Case – 05/06/2026
Performance management becomes more effective when clarity, consistency, and accessibility are embedded into daily workflows. This session highlighted how organizations can strengthen manager capability without redesigning their entire framework, by using AI and Copilot as practical enablers rather than replacements for judgment. The Campari user case illustrated how incremental adoption supports scale across countries, cultures, and maturity levels.
A recurring insight was that frameworks only work when managers can apply them in real situations. By embedding guidance on expectations, behaviors, and conversations directly into tools like Teams and Copilot, HR can move performance management from documentation to daily practice-supporting fairer, more meaningful conversations and stronger links to growth and careers.
- Adopt AI pragmatically, not radically
Sustainable progress comes from small, targeted AI use cases that solve real manager pain points. Incremental experimentation builds trust, adoption, and learning-without overwhelming the organization. - Use “What & How” as a shared language
Clear distinction between results (what) and behaviors (how) improves consistency and fairness. Managers need concrete examples and guidance to apply this effectively across teams and regions. - Embed guidance in the flow of work
Performance support is most effective when delivered via Teams, Copilot, and conversational tools, rather than static documents. Accessibility drives usage. - Support performance with career context
Linking performance conversations to job architecture and career paths increases relevance for employees and strengthens development outcomes.
AI generated by Copilot from designated meeting content only | Rumbold
