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Use case · Hair, beauty, and wellness

Keep booking calls moving while the team is with guests

An hiify.ai agent can answer menu and policy questions from your sources, collect service preferences, and book through a connected scheduling provider.

From first hello to handoff

The whole conversation, made explicit.

Each part is visible in the builder. You decide what the agent asks, which source it trusts, what connected action it can take, and when a person takes over.

01

Incoming moment

A new or returning guest calls while the front desk or stylist is occupied.

02

What the agent understands

  • The requested service, preferred time, and contact details
  • Menu, pricing, preparation, and cancellation information in your sources
  • Whether the caller wants a new booking or help with an existing one
03

What it can do

  • Search the approved service menu
  • Offer and book returned appointment slots
  • Update supported bookings or take a message
04

Human handoff

Requests that need stylist judgment, a provider-specific change, or a person follow the transfer or message path you configure.

Operational change

What the team gets after the call

Not a promise of automatic outcomes. A clearer path from an incoming request to the next accountable step.

  1. 01

    More time with guests

    Routine phone questions and booking requests can follow a defined flow without pulling staff away.

    Visible in the workflow
  2. 02

    Accurate menu answers

    The agent searches the services, prices, and policies the business supplies.

    Visible in the workflow
  3. 03

    Provider-aware booking

    Availability and booking actions depend on the connected provider’s supported capabilities.

    Visible in the workflow
Example flows

Two ways a salons & spas call can move

These are grounded examples, not live simulations. Each step maps to a builder block you can configure, connect, and publish.

New service booking

A guest asks which service to choose and whether Saturday is available.

  1. 01

    Understand

    The agent explains supplied menu information and collects the service and time preference.

  2. 02

    Act

    It checks the connected calendar and books a returned slot after confirmation.

  3. 03

    Hand over

    Questions that need a stylist are captured for a callback or transferred.

  1. Choose a service
  2. Search the menu
  3. Book a returned slot
  4. Save guest details
Change an appointment

A guest needs to move an existing booking.

  1. 01

    Understand

    The agent collects the booking email and preferred new time.

  2. 02

    Act

    If the provider supports lookup and rescheduling, it confirms and makes the change.

  3. 03

    Hand over

    Otherwise, it records a complete message for the front desk.

  1. Collect booking details
  2. Check support
  3. Reschedule or message
  4. Notify staff

Inside the product

A workflow your team can inspect.

The product builder combines menu knowledge, service selection, supported scheduling actions, and fallback messages.

hiify.ai · example workflow
hiify.ai builder showing a published front-desk agent with branching knowledge, appointment, and CRM steps
Real hiify.ai product screenshot. Example workspace data is shown.

One buildable path · New service booking

  1. AskChoose a service
  2. KnowledgeSearch the menu
  3. AppointmentBook a returned slot
  4. CRMSave guest details
Supported tools

Connect the step to the system that owns it

A practical starting set for salons & spas workflows. Connect only the apps your team uses.

  • FreshaSupported booking actions
  • SimplyBook.meServices and supported booking
  • SetmoreAvailability and supported booking
  • TwilioPhone numbers and configured SMS
  • GmailConfigured email action
  • HubSpotCRM contact and call context

Availability, booking, lookup, changes, cancellation, and waitlist support vary by provider. hiify.ai exposes only the actions supported by the connected provider and enabled in the published flow.

Browse integrations

Next step

Build a salons & spas workflow

Start with the incoming moment, add approved knowledge and supported actions, then define the human handoff.