The human side of AI adoption, grounded in research

Neuryz brings a neuroscience lens to how AI shapes cognition and decision-making at work.

We help organisational leaders see and act on the dynamics that usage and training metrics miss.

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Organisations are adopting AI faster than humans can adapt

The pace keeps rising, but the people absorbing all of it have the same cognitive limits they always had.

Usage and training completion rates capture some of this, but the deeper human dynamics are harder to see. They're also what determine whether AI adoption actually delivers.

Three ways we work

01
Research & Voice
Writing & Speaking

Speaking and original research on what employees are experiencing as AI enters their work.

  • Original research & writing
  • Keynotes & speaking
  • White papers & long-form content
  • Newsletter
02
Advisory
The Human Side of AI Adoption

Helping organisational leaders see the underlying dynamics shaping AI workforce readiness and what to do about them.

  • AI people strategy advisory
  • Human judgement & AI oversight: executive sessions
  • Critical thinking with AI: team workshops
  • Workforce readiness diagnostics
03
Collective
Interdisciplinary Exchange

Bringing together neuroscientists, organisational practitioners and the people living through AI adoption.

  • Neuryz Salons & roundtables
  • Cross-disciplinary gatherings
  • Practitioner-researcher dialogues

Neuryz Insight Report 2026

Our research with 299 UK employees across six sectors identified what's happening beneath the adoption metrics.

Users report finding tasks harder without AI and prioritising AI output over their own approach. Around a third of employees across all usage levels are experiencing pressure on their professional identity. And judgement and critical use training is what many employees are asking for.

AI rollouts often track adoption rates and training completion. But they miss the cognitive, relational and identity dynamics that determine whether people can actually work well with these tools.

These patterns are already visible in your workforce and they shape what you get back from your AI investment.

41%
of AI users report finding tasks harder without AI
Most pronounced in daily users
~1 in 3
of UK employees report pressure on their professional identity
At every level of AI use
43%
agree there is a growing divide between AI adapters and non-adapters
Early signs of a widening divide
Read the Report →
Roxana Seifer
Roxana Seifer
Founder

Roxana Seifer is the founder of Neuryz, a UK-based research and advisory practice applying neuroscience to AI adoption in organisations. She holds a BSc in Neuroscience, an MSc in Organisational Design and Development and is a Chartered member of the CIPD.

Neuryz grew from a decade of leading transformation across digital, workforce and culture change and watching the same pattern repeat. Strategies that looked right on paper would under-deliver and the reasons almost always traced back to what people were actually experiencing. None of which was being measured.

AI adoption has made this more urgent. Organisations are rolling out AI with little visibility on their workforce impacts beyond the adoption metrics.

I trained in neuroscience and spent a decade inside organisations. The combination lets me see the cognitive and organisational dynamics at the same time, which most AI adoption conversations still treat as separate problems. Neuryz exists to make those dynamics visible and give organisations something they can act on.

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If you're in the middle of an AI rollout and the adoption numbers aren't telling you the full story, I'd like to hear from you.

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