In the summer of 2024, the London Office of Technology and Innovation commissioned Faculty, a leading UK applied AI firm, to identify the most impactful opportunities for AI in adult social care.
They interviewed frontline staff, digital teams, and senior leaders across multiple London boroughs. They developed a prioritisation framework. They scored opportunities against impact, feasibility, and value.
Their number one quick-win recommendation?
Automating the transcription of meeting notes.
Not a complex predictive model. Not a data matching system. The thing that was eating the most time, causing the most frustration, and getting in the way of the work that actually mattered.
One care worker, quoted in the report, put it plainly:
"The here and now is about increasing productivity because then people aren't feeling overworked."
What the report actually described
The report described the opportunity in terms that will be familiar to anyone who has read this series. A generative AI solution that transcribes recorded meetings, extracts key actions, produces summaries, and identifies discussion points to inform future sessions. The care worker would then spend a few minutes validating the output rather than an hour reconstructing it from memory.
Where the human fits
Crucially, the report was unambiguous about where the human fits. "A care worker must remain in the loop and ensure the summaries or transcriptions are correct, making edits as appropriate."
Not automation for its own sake. Enhancement of the practitioner's ability to focus on what matters.
Familiar territory
That report was published in July 2024. We had already been thinking about the same problem for adult social care supervision specifically, not just care worker assessments, and building toward the same conclusion.
1two.one isn't a response to a trend. It's a response to a problem that the sector's own research, in this case LOTI, identified as the most pressing quick-win opportunity AI could deliver.
The problem was always there. The technology to solve it is here now. The only question is how quickly providers move.
The full LOTI/Faculty report is available at loti.london.
If you'd like a plain-English map of what supervision actually needs to be, and how to run it as a conversation rather than a form, download The Supervision Conversation guide.
Or, if you're ready to stop reconstructing supervision records from memory, 1two.one records the conversation and generates the aligned CQC evidence automatically. Join the waitlist.
Part of a short series on supervision in UK adult social care. See also: Supervision 2.0: what it actually looks like, The compliance picture is shifting, and Supervision is not a form.
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