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Email triage for home care and personal services providers

A home care provider’s contact inbox mixes carers’ sick notes, family requests, referrers — hospitals, social workers, municipal services — and paperwork. A handful of these messages demand action within the hour; they drown in the rest.

In your day-to-day

A typical scenario

The contact inbox of a multi-branch provider takes 160 messages a day: carer sick notes, families, hospitals, job applications and paperwork all jostling together.

  1. 01

    Friday 7:30 PM: a spontaneous application from a care assistant. Qualified — diploma, area, availability — and pushed to recruitment: in a shortage occupation, she gets called back Monday at 9.

  2. 02

    A sick note sent as a half-legible photo: filed “to check”, but scheduling is alerted about the day’s visits. Doubt gets handled, never ignored.

  3. 03

    The benefits office requests a certificate: the reply goes out on its own, document attached, logged in the client’s file.

What changes

The life-critical alert, the rare application and the administrative routine each take their own track — without a human reading all 160 messages.

Order of magnitude

Working assumptions

  • 160 daily messages, some twenty of which demand urgent action
  • about 1 minute of reading and dispatching per message when sorted by hand

Close to 2 h 40 of reception attention freed daily, and a sick note acted on in minutes rather than hours.

Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.

What eats your days

How it works

  1. 1

    Measure before sorting

    We start by measuring the real flow: who writes, about what, what actually needs action. Sorting rules are built on that data — not on impressions.

  2. 2

    Sort, extract, route

    The agent classifies each message, extracts the useful data (references, amounts, deadlines) into your tools, and routes to the right person. Urgent items are flagged within minutes.

  3. 3

    Answer the recurring

    Acknowledgements, document requests, standard questions: the agent replies on its own within the approved fence. The rest lands pre-qualified in your team’s queue.

Typical results

95%

of messages classified and routed with no human involved

4 min

between an urgent message arriving and being flagged

0

client requests lost in the pile

Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.

Frequently asked questions

How does the agent spot a sick note written in free-form language?+

Carers rarely write in a standard way — which is why the agent is calibrated on your real flow during a measurement phase, then runs assisted before going autonomous. An ambiguous message is classed “to check”, never ignored.

Are referrer requests prioritised?+

Yes, that is a common rule: a message identified as coming from a hospital or social service is flagged to the area manager within minutes, because there is often a discharge to cover quickly behind it.

Is this the problem eating your team’s time?

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