Magic Notes (England)

Assisting social care workers through transcription and note-taking

    The challenge

    Social workers face growing administrative burdens, particularly with documentation and assessment write-ups, reducing the time available for direct client care. Traditional note-taking methods limit efficiency, as practitioners must complete detailed reports after visits to preserve personal engagement during sessions.

    The solution

    Kingston Council worked with Beam to create Magic Notes, an AI transcription tool for social care. It was developed within three months through close collaboration with social workers and occupational therapists, who tested early versions and provided feedback. The AI was trained on anonymised real-world data, with strong governance in place to mitigate potential risks. Furthermore, a Data Processing Agreement (DPA) was established with Beam, and a Data Protection Impact Assessment (DPIA) was completed.

    The results

    • Practitioners reported time savings of 50-60% on administrative tasks such as completing case notes and assessments.
    • Time required for supervision write-ups dropped from 40 minutes to under 10 minutes.
    • Transcription accuracy exceeded expectations, reaching over 96%.
    • The pilot identified a potential 50% reduction in administrative time, enabling resources to be reallocated toward prevention services.

    Learnings / insights

    • Different types of supervisions required different templates, highlighting the need for context-specific design.
    • The tool was found to be less effective for users with low verbal communication and scenarios with poor audio quality.

    Details

    Organisation name
    Kingston Council
    Government body
    Local Government
    User group
    Wider public sector
    Use case type
    Reusable
    Type of technology
    Generative AI
    Phase
    Live
    Impact
    Better Customer experience / Improved efficiency / Time savings

    Links

    Get in touch

    Emailai-knowledge-hub@dsit.gov.ukto:

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    Content created: 18 May 2025| Last updated: 12 June 2025