Case study: AI Adoption @ Nesta Group
It wasn’t a tech problem. It was a confidence problem.
90%
of staff members now use AI every week
50%
drop in staff citing a lack of use cases
75%
drop in data security concerns
The context
In mid-2025, staff at Nesta Group were curious about generative AI. But internal surveys revealed staff were held back by data security fears, a lack of clear guidance, and fragmented tools. It wasn't a tech problem; it was a confidence problem.
To maintain the organisation's edge in behavioural science and public innovation, we needed to help staff use AI safely and effectively.
The solutions
Infrastructure: Legal and tech secured data privacy and rolled out Gemini Enterprise.
Pilot training: Advisory staff designed initial training mapped to actual project lifecycles.
Scaling: I rolled the pilot training across the group and embedded it into onboarding.
Learning in the flow: I transformed real employee use cases into practical, on-demand tutorials and guides.
The outcome
By addressing the barriers to adoption, the internal metrics shifted markedly:
90% of staff now use AI weekly
Over 50% of staff use AI multiple times a day
Data security concerns dropped from over 40% to just 10%.
Staff citing a 'lack of clear use cases' was cut in half.
The learning
You can't solve a confidence gap in a silo.
Layered support, safe infrastructure, relevant training, and on-demand resources, meets people where they are and moves the whole organisation forward.