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Illustrative scenarioClaredi · AI front desk

A hospital front desk in chat, so nobody queues for a simple booking.

Hospital outpatients · Example scenario · not a named client

<2 sresponse timeReported
24/7always availableReported
−40%front-desk callsTargeted
01
The problem

An outpatient department has queues at the desk and on the phone for simple bookings, registrations and billing questions.

£What it was costing them

Patient waiting time and front-desk staff tied up with routine work.

02
The existing workflow

How the work was done, and where it broke.

✕

Queues at the desk for simple bookings.

✕

Phone lines busy with the same questions.

✕

New-patient registration takes desk time.

✕

Billing questions pull staff away from patients.

03
The solution

Verify before acting. No booking changes without a confirmed identity.

1Verify the patient

Claredi checks the patient's date of birth before acting.

2Book and move

Books or moves appointments in chat.

3Register new patients

Collects details and creates a clean record.

4Answer billing questions

Common billing questions answered at once.

04
Architecture

From input to outcome.

1

Inputs

  • Patient chat messages
2

Checks

  • Date of birth verified before acting
3

AI layer

  • Claredi books, registers and answers billing questions
4

Actions

  • Appointment booked or moved
  • New patient registered
5

Outcome

  • SMS confirmation for every booking
05
Integrations

Works with the systems already in place.

⇄

Scheduling

⇄

Patient registration

⇄

SMS

06
Business value

What changed for the business.

Answers in secondsReported

Under 2 seconds per reply, at any hour.

Fewer desk callsTargeted

Projected 40% fewer front-desk calls.

Confirmed by SMSReported

Every booking confirmed by text.

07
The evidence

Shown on real work.

A new patient registers, books a first appointment and asks about payment options, all in one chat, and gets an SMS confirmation.
About the evidence

Example scenario. Response time and availability are published product figures; call reduction is a projection.

How we label results

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