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Four layers, one clinic operations platform.

MediConcierge replaces the load on a clinic's front desk in four distinct ways. The AI patient concierge absorbs repeat enquiries. The CRM makes the rest of the work visible. The scheduling layer closes the gap between booked and utilised hours. The insights layer surfaces the patterns that decide whether a clinic grows or stalls.

The mechanism is additive. A clinic using MediConcierge does not fire its receptionist. It takes back the labour hours that were going on low-value traffic and points them at high-value work.

Layer 1

Patient concierge

The same handful of questions come in over and over. Do you accept Bupa. Is there a slot on Saturday. Does the consultation include imaging. Is the £240 quoted price the full cost or a deposit. These do not need a clinician to answer. They need someone who knows your service menu and your pricing, with live availability to hand.

The concierge handles those questions instantly, in your clinic's tone, with access to live availability. When the patient is ready, it books the appointment end-to-end. If they aren't, it collects the right details for follow-up. Anything that looks like a clinical question, it refuses and escalates with a concrete next step rather than a dead end. A patient asking what their rash might mean does not get a chatbot guess; they get a same-day clinician callback offered before they have time to type the question into Google.

Tone is configured per clinic. A Harley Street practice and a regional physio studio sound different; the concierge speaks both. The system prompt forbids medical opinions and contradictions. Refusal patterns are written for the failure modes that matter in private healthcare, with escalation paths warm rather than dismissive.

Layer 2

Clinic CRM

MediConcierge ships with a CRM built around the distinction between a lead and a patient and around the rules for special-category data under UK GDPR. Clinic operations are mostly appointments rather than sales deals; the CRM is shaped accordingly.

One screen shows every open lead, every confirmed appointment, every recent no-show that needs rebooking and every follow-up task on its way past due. What was previously three browser tabs, a printed diary and a sticky note becomes one surface. The receptionist stops being the integration layer between disconnected systems and starts working from the same view as everyone else in the clinic.

The CRM makes the work that was already happening visible enough to prioritise. A lead that hasn't been followed up in three days. A patient who hasn't confirmed tomorrow's appointment. Last week's no-show never got rebooked. Each of these is a small revenue leak in isolation. Together they are the difference between a clinic that looks busy and one that runs full.

Layer 3

Scheduling

Slot utilisation translates almost linearly into clinician revenue. A diary that's nominally full but has a 15% no-show rate and an empty 2pm slot every Tuesday is bleeding money. MediConcierge addresses this in three places.

No-shows are measured. MediConcierge tracks the no-show rate for each clinician. You see where they cluster instead of finding out from an empty waiting room. When a patient asks to reschedule through the chat, the concierge handles the rebooking against live availability, without anyone in the clinic touching it. Automated reminders are on the roadmap.

Filling short-notice gaps is next on the roadmap. When a slot opens within 48 hours, MediConcierge will be able to offer it to other patients automatically. For now, every booking is checked against live availability, so the diary you see is the diary that is true.

Cross-clinician visibility lets the concierge answer real questions directly. A patient asking for the next slot with their preferred doctor gets one answer. A patient asking for the earliest slot with anyone gets a different one. Both come back instantly without routing through reception.

Layer 4

Insights

The hardest question for most clinic owners is where the clinic is leaking money. The honest answer is usually "I don't know, but I suspect a few specific places", with no data to confirm. The insights layer is built to answer that question with evidence rather than intuition.

Four reports earn their keep. Enquiry-to-booking conversion, broken down by source. No-show rates broken out by clinician, by service, by day, by time. Revenue per clinician per utilised hour, not scheduled hour. Average time-to-respond on enquiries, in-hours and out-of-hours.

We deliberately keep the dashboard small. Three or four metrics that drive operational decisions, not twenty charts that nobody reads. Each one points at a lever an owner can actually pull.

Voice and SMS

The front door now answers calls and texts.

The assistant that captures website enquiries can answer a clinic's configured UK number and handle inbound texts. A rollout maps the existing call route plus working diary first. Patient traffic starts only after both connections pass a real test. Clinical judgement stays with the clinic team.

Hear it as your patients would

+44 7886 073618

Our demo clinic's line, answered by the assistant. Book an appointment against its diary and a real confirmation text arrives a minute later.

Answers the phone

A spoken consent step comes first. It then handles routine questions plus booking on a configured clinic number.

Handles texts too

Patients can text the same number. The first reply identifies the AI and offers clear HUMAN plus STOP routes.

Fits the working diary

The public demo books into the MediConcierge diary. A clinic's working-diary connection is scoped and tested before patient use.

Clinical judgement stays human

The AI stops on clinical or complex matters and flags a callback for the clinic team. It does not make the judgement.

Calls start with AI disclosure and consent. The first SMS reply discloses the automation plus the opt-out. Patient data stays in the UK at rest. The AI never gives clinical advice. How the data is handled.

Incoming call

+44 clinic line

00:41
Thanks for calling the Harley Street Skin Clinic. To continue with our assistant, say yes; to speak to the team, say no.
Yes. I'd like to see a dermatologist about a mole.
I can offer Tuesday at 2:30 in the afternoon, or Thursday at ten in the morning. Which suits you?
Tuesday, please.
Booked with Dr Patel, Tuesday 2:30pm. Confirmation sent.

An illustrative exchange. The real thing is one call away.

See it against your clinic.

We set MediConcierge up with your real doctor schedules and walk you through the bookings it would have caught last week.