Waar gaat deze meeting over?
Join us for an hour online about what is needed for a succesful AI Agenda with HR being integral part of drivers behind such transformation.
Our Panel Members for this meeting are:
- Therese Sevaldsen
- Michael Piker
- Christian Egeberg Forsingdal
This panel explores what it truly takes for HR to lead enterprise‑wide AI adoption. Above experets discuss the shift from early HR analytics to enabling AI across all roles and operating models, the cultural and safety foundations needed, and how HR can drive transformation while balancing its already full agenda.
Expect practical insights, leadership perspectives, and concrete steps to set HR up for sustainable and responsible AI‑driven change.
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Key take-aways:
What We Learned
AI adoption is no longer about experimentation at the edges—it is an urgent, enterprise-wide transformation. HR plays a central role in building the foundations: culture, skills, operating model, governance, ethics and rewards. A psychologically safe environment, strong leadership alignment and clear capability‑building pathways are essential for organizations to move from fear to confident adoption.
The biggest breakthroughs come when HR applies an AI‑first mindset, redesigns processes before adding technology, and uses Total Rewards and Mobility to accelerate skills and behaviour change. The conversation also highlighted the importance of secure AI environments, practical governance and a balanced people experience across generations.
Key Takeaways (Bullet Points)
- AI is a transformation, not a tool. HR must treat AI as a major organizational change, requiring structure, governance and leadership alignment—not isolated pilots.
- Psychological safety is a non‑negotiable. A culture that rewards experimentation and accepts failure as part of learning accelerates adoption.
- Process and data maturity come first. Without clean processes and quality data, AI cannot deliver value—workflows must be redesigned before automation.
- AI capabilities must be built deliberately. Organizations need structured competency frameworks, baseline literacy, prompting skills and mandatory learning for leaders.
- Rewards & Mobility can unlock adoption. Skill‑based pay, recognition for AI innovation and project‑based assignments accelerate capability and culture change.
- Secure AI environments are essential. Blocking tools increases “shadow AI”; providing safe, governed access fosters responsible experimentation.
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