Customer support · Production

AI receptionist helps NuVel Esthetiques Day Spa stop losing missed-call bookings

The problem

As a solo massage therapist and aesthetician, Khareen couldn't answer phone calls while with a client without breaking the session's presence, so missed calls turned directly into missed revenue with no reliable way to follow up on unknown callers.

Workflow diagram · grounded in source

Beside answers inbound calls

trigger

“With Beside handling inbound calls, Khareen no longer feels the background anxiety of “What am I missing?” while she’s with a client.”

Voice tone matches her own

ai_action

“she discovered a tone that closely matched how she naturally speaks—warm, human, and approachable”

Responds to quick questions

ai_action

“When a caller reaches out with a quick question, Beside responds when possible.”

Fail-safe hand-back when uncertain

routing

“When the system doesn’t have enough context, it prioritizes clarity and hands the conversation back to the business instead of guessing.”

Capture intent and offer callback

output

“If more context is needed, it captures the caller’s intent and offers a callback, ensuring the opportunity doesn’t disappear.”

Call log and end-of-day recap

output

“Beside provides something operational and actionable: structured notes, clear follow-ups, and a concise end-of-day recap.”

Reported outcome

Beside now handles inbound calls with a voice tone that matches how Khareen speaks, captures caller intent and offers callbacks when it lacks context, and gives Khareen a call log and end-of-day summary so she stays fully present with clients while still following up on bookings.

Reported metrics

Presence with clientsfull presence with clients

Lost bookingsfewer lost bookings

Operator stresslower stress

Reported stack

Beside

Source

https://www.beside.com/customers/ai-receptionist-for-day-spas-how-beside-helps-nuvel-esthetiques-stay-fully-present-with-clients-and-stop-losing-missed-call-bookings

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Frequently asked questions

What did this team achieve with this AI workflow?

Beside now handles inbound calls with a voice tone that matches how Khareen speaks, captures caller intent and offers callbacks when it lacks context, and gives Khareen a call log and end-of-day summary so she stays f…

What tools did this team use?

Beside.

What results were reported?

Presence with clients: full presence with clients; Lost bookings: fewer lost bookings; Operator stress: lower stress (source-reported, not independently verified).

How is this customer support AI workflow structured?

Beside answers inbound calls → Voice tone matches her own → Responds to quick questions → Fail-safe hand-back when uncertain → Capture intent and offer callback → Call log and end-of-day recap.