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Good practice Imported

Magic Notes — Kingston Council's AI Tool Cuts Social Work Case-Note Time by Up to 60%

United Kingdom · Kingston upon Thames · See the United Kingdom profile

Evidence: Descriptive / self-reported Top 47% 60/100 · Ask Evidence Copilot about this practice

Kingston Council piloted Beam's Magic Notes with adult social care staff to draft case notes and assessments, cutting completion time 50–60%, shrinking supervision write-ups from 40 to under 10 minutes, and freeing up to 4 hours a week per social worker.

50-60 %
Reduction in time spent on case notes/assessments
~40 min to <10 min
Supervision write-up time
up to 4 hours/week
Weekly admin time saved
96 %
AI drafting accuracy achieved
100
Social workers in expanded rollout
Magic Notes — Kingston Council's AI Tool Cuts Social Work Case-Note Time by Up to 60%

Details

Maturity
Scaling
Promoter
Royal Borough of Kingston upon Thames Adult Social Care, with Beam
Period
2025–2026
Keywords
social care, local government, case management, generative AI

Context

Kingston Council's Adult Social Care service faced heavy administrative load, with social workers spending large parts of their week writing case notes, assessments and supervision records.

Activities

The council piloted Magic Notes, an AI note-taking and drafting tool built by social enterprise Beam, embedded into caseworkers' daily recording process, with human review of every AI-drafted note retained throughout.

Results

Social workers saw an average 50-60% reduction in time spent on case notes and assessments, with supervision write-ups falling from around 40 minutes to under 10; the project targeted 85% drafting accuracy and reported results above 96%.

Conclusions

Following the pilot, Kingston rolled Magic Notes out to a further 100 social workers; the figures are self-reported pilot results, not an independently audited evaluation.

Implementation

Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
Kingston Adult Social Care social workers, Beam technical team

Conditions for success

  • Human review of every AI-drafted note retained

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Data sources

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