(Insights from Paul Nery & Sam Hussain at the Care Management Show 2025)
For years, “AI in care” has been more buzzword than breakthrough. Panels, pilots, and promises came and went, yet frontline teams still faced the same reality: Too much data, too many documents, and not enough time.
At the Care Management Show on 28 November 2025, something shifted.
Paul Nery (Carey AI, Rose Care Group) and Sam Hussain (Log my Care) shared what’s actually working in services right now – and not in theory, but in terms of real AI solving real problems.
It became clear that this move towards AI in the care sector is not about AI replacing human judgement, but rather about AI finally supporting it.
Here’s how the good news unfolded last week as industry leaders shared their experiences and insights:
When Sam launched Log my Care eight years ago, digital adoption across social care was low. Paper ruled. Data was scattered. AI had nothing stable to learn from.
Today, that landscape has transformed.
“Digital penetration is high. For the first time, the data is finally there – structured enough for AI to sit on top of,” Sam explained.
The foundations are now strong:
Once data is structured, AI stops being hypothetical and becomes practical.
Paul described a challenge every provider recognises: Teams are not short of information, they’re overwhelmed by it.
Care plans, logs, assessments, hospital letters, frameworks – all arriving faster than humans can process.
This leads to:
AI became essential not because teams lacked capability, but because the volume exceeded what people can manually handle.
Earlier this year, Paul’s council issued a 110-page placement contract requiring every resident to be scored line by line against a complex framework. Fees depended on it. Challenges needed detailed justification.
Manual effort per resident: 2–3 hours
Total workload: Hundreds of hours
Paul loaded the contract into Carey AI.
Within two hours, Carey had:
“Something that took hours became a one-minute job,” Paul said. “Managers just reviewed the output.”
This is what practical AI looks like.
AI’s true strength isn’t speed – it’s visibility.
Paul shared an example where Carey detected a resident’s increasingly erratic blood glucose and progressing joint pain. Manually spotting that pattern would have taken hours of review.
Because of Carey:
This is the shift:
AI moves teams from “We should have caught that earlier” to “We already did.”
Paul listed several tasks now automated by Carey:
Instant audits
Immediate flags for missing, expired, or inconsistent documentation.
Care plans generated from hospital documents
Hospital PDFs become structured plans in minutes.
ABC pattern analysis
Triggers and behaviour patterns identified automatically and fed into support plans.
Resident-led activity suggestions
Activities and exercises generated from each resident’s preferences.
This is personalised, structured, clinically useful AI that removes administrative drag.
Paul and Sam shared one core message:
AI doesn’t replace people – it gives them back the hours and clarity they’ve never had.
When AI handles the reading, sorting, comparing, and explaining, care teams focus on what actually changes outcomes:
Less admin.
More care.
The conclusion: The “future” of social care is now
AI in social care has crossed a threshold — not because the technology changed, but because the environment finally did.
The data is structured. Systems are connected. Workloads are too heavy for manual processing. And AI tools like Carey are already proving what’s possible today.
From automated audits to early trend detection and contract interpretation, this isn’t the “future” of care – it is the present.
If you’d like to see what this could look like in your service, get in touch – we would love to walk you through a short demo using your current data setup.
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