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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, not subtractive. 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

Roughly 80% of inbound enquiries are variations on a small set of questions. 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, your pricing, and your availability.

The concierge handles those questions instantly, in your clinic's tone, with access to live availability. It books appointments end-to-end when the patient is ready. It collects the right details for follow-up when they aren't. It refuses anything that looks like a clinical question 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, and the concierge speaks both. The system prompt forbids medical opinions and contradictions, the refusal patterns are written for the failure modes that matter in private healthcare, and the escalation paths are warm rather than dismissive.

Layer 2

Clinic CRM

MediConcierge ships with a CRM built around the distinction between a lead and a patient, the rules around special-category data under UK GDPR, and the fact that clinic operations are mostly about appointments rather than sales deals.

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 point isn't to add software. It's to make 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. A no-show from last week that nobody rebooked. Each of these is a small revenue leak in isolation. Together they are the difference between a clinic running at 70% utilisation and one running at 90%.

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.

Automated reminders cut no-shows. Patients with a 48-hour and 24-hour reminder fall into a 5-8% no-show range; those without sit at 15-20%. When a patient replies to a reminder asking to reschedule, the concierge handles the whole rebooking flow without anyone in the clinic touching it.

Gap-filling closes short-notice cancellations. When a slot opens up within 48 hours, MediConcierge offers it to waitlisted patients in priority order. Most respond within an hour. In our pilots this recovers around 40% of the cancellations that would otherwise have been empty hours.

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.

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.