Sector
Where the data is about people at their most vulnerable, and the staff have no spare hour to learn.
Care is the sector where the stakes of getting data and AI wrong are most personal. Client and patient records are special category data under the GDPR, which means the question is never only "can this work" but "are we allowed, and can we explain it afterwards". A tool that is technically brilliant and legally unclear will not be used, and should not be.
At the same time the pressure to do something is enormous. Staff shortages are structural, and registration takes hours a week that nobody trained for this work signed up for. AI is the first technology in a while that could genuinely give some of those hours back. That only happens if care professionals trust it enough to use it and understand it well enough to catch it when it is wrong.
The third thing is who is furthest from the dashboards. The people closest to the data are the care professionals, and they are the ones least likely to be included in a data programme. Aim the training only at the staff office and nothing changes on the ward.
The behaviour we are after is narrow and important: a care professional who uses AI support for a report, reads it back critically, and knows without hesitating what may never be typed into it. Not enthusiasm, not avoidance. Judgement.
That takes knowledge of what counts as special category data and what the GDPR allows, skill in the tools your organisation has actually rolled out, practised in short modules that fit around a shift, and a habit that survives a busy Tuesday. People practise in the browser on your own systems and cases, because a skill demonstrated in a video does not transfer to the ward.
Adoption is where care programmes usually fail, so it carries the most weight here. Data Champions come from your own teams, live sessions keep the cohort moving, and ownership passes to your own L&D and community at the end. Skill growth is measured from a baseline before the start and benchmarked against other organisations, which is the evidence a board can act on.
Across all our clients, cohorts finish at 79% completion over the last twelve months and more than 10,000 learners, against an industry standard of roughly 12%. That number comes from programmes where people had every reason to drop out and did not, which is the relevant test for a sector with no spare time.
Our Data & AI Skills Framework is what makes a programme aimable: a care professional, a planner and a board member need different things, and get different tracks.
Course completion
over the last twelve months
Learners
have been through our programmes
Average course rating
from 3,327 learner ratings
Sector tells you what the proof looks like. Persona tells you what each group actually learns.
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