Success Stories›Skin Laundry
United States · Medical aesthetics
Voice AI implementation story

Skin Laundry connects AI reception across calls, texts and bookings in 53 clinics.

Skin Laundry connected AI reception with calls, text messages, bookings and client history across its United States clinic network.

Reported outcomeConnected reception across 53 clinics
Skin Laundry clinic team featured in the official Zenoti customer storyVoice AI success storySkin LaundryConnected reception across 53 clinics
The business problem

What Skin Laundry needed to change.

A growing clinic network needed a consistent reception experience across locations and channels. Calls, text messages, appointment changes and client history could not remain separate if every clinic was expected to respond in the same way.

The voice AI implementation

How Skin Laundry put conversational AI into the customer journey.

Skin Laundry connected AI reception with calls, text messages, bookings and client history across its United States clinic network.

The published Zenoti story describes AI Receptionist answering calls, managing bookings and reschedules, and suggesting relevant add ons while staff concentrate on clients.

Where people remained essential

The human team kept the work that required judgement.

Clinic teams retained clinical judgement and patient care, while the connected reception system handled approved administrative journeys and kept the record visible across channels.

The reported outcome

Connected reception across 53 clinics.

Zenoti reports one unified view of calls, text messages and client history across 53 United States clinics, with AI supporting repeatable reception work.

The operating lesson

What another service business can learn from Skin Laundry.

Multichannel AI becomes more valuable when every conversation updates one client journey. A caller should not have to repeat information simply because the next contact happens by text or at another location.

This example shows how voice AI and conversational AI can support a real customer journey. Every business should still establish its own baseline, operating boundaries and commercial case before implementation.

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