CANVAS LAYER

Salons

A salon chatbot that turns service questions into booking-ready conversations.

Canvas Layer configures the chatbot around services, pricing, date preference, and handoff so the team spends less time repeating answers and more time closing bookings.

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Example conversation

What the first-response layer can look like for salons.

Live flow example
Hi, want to book a service or check pricing first?
Need haircut + beard, today evening if possible.
Perfect. I can help with available time slots and booking details.

Best fit

Built for salons that want fewer missed bookings, faster replies, and cleaner handoff from enquiry to appointment.

Best for salons with recurring appointment enquiries and a team that wants fewer missed or delayed replies.

Your team receives

Requested service, date preference, contact details, and booking intent before the salon team replies.

Before Canvas Layer

  • Customers ask the same service and pricing questions repeatedly
  • Booking intent is unclear until staff manually follows up
  • Potential customers drop off while waiting for a reply

After the rollout

  • The chatbot handles the first layer of service, pricing, and timing questions
  • The team receives cleaner service and scheduling context before follow-up
  • More enquiries move toward an actual booking path instead of fading out

How the roles work together

A configured workflow built around real enquiries.

These are specialized roles inside one configured chatbot system. The goal is not endless chat. The goal is to answer the first questions, qualify the lead, and hand better context to your team.

Role 01

Front Desk AI

1

Answers common service, pricing, timing, and salon policy questions.

Outcome

Customers get immediate answers instead of dropping off.

Role 02

Lead Qualifier

2

Collects the service interest, date preference, and contact details before the team steps in.

Outcome

The team sees who is ready to book and who just needs info.

Role 03

Booking Assistant

3

Pushes toward an appointment request, callback, or the next approved salon workflow.

Outcome

More booking-ready conversations reach the team.

Role 04

Human Handoff

4

Hands over when staff input is needed for availability, upsell, or final confirmation.

Outcome

Staff picks up with context instead of repeating the same questions.

What the chatbot needs to know

The rollout is shaped around the questions your business hears every day.

01

Which service does the customer want and what does it cost?

02

What day, time, or branch preference matters before follow-up?

03

Should the next step be a booking request, callback, or staff handoff?

Next step

Test the live chat, then scope the rollout around your business.

Book Demo