Role 01
Front Desk AI
Answers common service, pricing, timing, and salon policy questions.
Outcome
Customers get immediate answers instead of dropping off.
Salons
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.
Example conversation
What the first-response layer can look like for salons.
Best fit
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
After the rollout
How the roles work together
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
Answers common service, pricing, timing, and salon policy questions.
Outcome
Customers get immediate answers instead of dropping off.
Role 02
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
Pushes toward an appointment request, callback, or the next approved salon workflow.
Outcome
More booking-ready conversations reach the team.
Role 04
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
Which service does the customer want and what does it cost?
What day, time, or branch preference matters before follow-up?
Should the next step be a booking request, callback, or staff handoff?
Next step