L&D is infrastructure,
not a service desk.
I build capability systems that scale — through team design, governance, AI-enabled practice, and measurement that tells the truth.
What I'm working on
Why Most AI Adoption in L&D Fails Before It Starts
The tools aren't the problem. The problem is treating AI integration as a technology decision instead of a change management challenge. I'm writing about what I learned rolling out Claude and ChatGPT to a 26-person team, including the three compliance violations we caught during pilot that would have been disasters at scale.
When Does Measurement Become Surveillance?
L&D teams get asked to prove ROI. Fair. But the line between meaningful measurement and tracking people for punishment is thinner than we admit. Especially when managers want quiz scores to justify write-ups instead of coaching conversations.
The Certification Launch That Failed on Day One
I skipped SME sign-off because I was moving too fast. Had to stop multiple teams, redirect resources, and rebuild trust. The real lesson wasn't about process. It was about what happens when speed becomes identity.
How I've applied this thinking
Scaling Content 12x Without Breaking Quality
Read the full story →Building a 26-Person Team Across 3 Countries
Read the full story →Integrating AI When Your Team Is Afraid
Read the full story →What I believe
Most organizations say they want capability. They structurally reward compliance, speed, and comfortable metrics.— Eian Newland
How I think
Looking for a learning leader?
I build systems, not just training.
If your organization treats L&D as infrastructure and wants someone who can design the function from scratch, scale it globally, and integrate AI without losing the team — let's talk.