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    Client matching

    The client should never be the receptionist.
    Ada matches them.

    Right service. Right specialty. Right personality. You write the instructions in plain text, and Ada follows them even when the client has no idea what to ask for.

    Book a demoSee it on pricing
    Booking instructions
    Per service, in plain text
    Staff descriptions
    Specialty and personality
    Books from a text
    Ada asks, then confirms
    Multi-specialty salons

    Online booking fails when the client is doing your job.

    A colorist, an extensionist, and a texture specialist sharing one menu is not a dropdown problem. It is a matching problem. The client picks a word they recognize and whoever is first available. That is how a new install gets booked as a fill, or a curly cut ends up with someone who only blow-dries.

    They pick the wrong service

    The menu says Highlights. They need a correction. Online booking has no one there to stop them.

    They pick the wrong person

    First available is a cutter. They needed the extensionist. The calendar looks "booked." The chair is wrong.

    They cannot describe the visit

    A new install, an overdue fill, and a trim they think is "just a cut" all look the same in a dropdown. Dropdowns never ask a follow-up.

    Personality never enters it

    Chatty or quiet, slow consult or in and out. The client finds out in the chair, and then they do not come back.

    Booking instructions

    The rule, then the same rule on a live client.

    Two unedited recordings, a minute apart in the same salon. The first is the text box. The second is what that text box does when a real person asks for the wrong appointment.

    The rules live on the service, in plain English

    Narrator: I last saw her about eight weeks ago. For this service, I created specific AI booking instructions explaining what to do when a client is outside a normal hair extensions maintenance window.

    Staff: If the appointment falls more than 8 weeks after their last extension service, treat it as outside the normal maintenance window.

    Narrator: When a client is overdue, Ada should ask additional questions to make sure she reserves the correct service. That's the whole configuration: a text box on the service.

    This is the whole configuration.

    A description field and an AI booking instructions field on the extensions service. What you are reading in that box is normal English about rebooking intervals and what counts as overdue, written the way you would explain it to a new receptionist.

    • No rules engine, no conditional builder, no support ticket
    • Different instructions on every service you offer
    • Edit a sentence and her next booking follows the new version

    Those rules, firing on a real client

    Narrator: A move-up of her extensions is not the correct appointment for Kelly. Because she is overdue, Ada should follow the booking instructions and ask more questions.

    Ada: Since it's past the 8-week window, are either rows slipping, lifting, tangled, matted, uncomfortable, or really grown out?

    Narrator: Ada recognized the phone number, found the client profile, reviewed the previous appointment, determined she was outside the normal maintenance window, and read the booking instructions in a few seconds. Based on those instructions, Kelly may need a complete removal and reinstall for both existing rows. Choose that appointment and ask Ada to book it.

    Watch what she does with the answer.

    The client asks for a basic move-up. Ada checks the last extension appointment, sees the visit lands past the eight week window, and asks whether rows are slipping, lifting, tangled or grown out. One row is slipping, so she books a removal and reinstall instead, and tells the client the stylist can shorten it if the chair turns out simpler.

    • Online booking would have sold a fill and blown up the afternoon
    • She protects the stylist's time without overcharging the client
    • Every question traces back to the text box in the clip above
    Customizable staff descriptions

    You write who each person is. Ada books from that.

    A staff description is not a bio for your website. It is the specialty and personality Ada uses when a new client asks who is best. You control the length, the tone, and who each person should or should not take. That flexibility is the real difference: you shape Ada to your floor instead of hoping a generic matcher guesses right.

    M

    Maya

    Staff description

    BlondingExtensionsQuiet chair

    Detailed consults, then a calm chair. Best for clients who want to talk the look through and then put their headphones in.

    J

    Jordan

    Staff description

    Lived-in colorFast cutsChatty

    Funny, in and out. Best for clients who know what they want and have somewhere to be.

    P

    Priya

    Staff description

    Precision cutsTextureLow chat

    Exact and low chat. Best for curly and coily clients who are tired of being talked into a blowout.

    Change a sentence and Ada changes who she recommends. No prompt engineering. No ticket to support.

    The field that decides who gets recommended

    Narrator: On the staff page you write each stylist's specialties, personality, experience, hobbies, and anything else you want Ada to know. You decide what makes each stylist unique, and Ada uses that information every time she books.

    Staff: Master in blonde hair, world renowned for blondes. Bubbly, thoughtful, loves to have fun and laugh.

    Narrator: The field says the AI concierge uses this for context. Change a sentence here and Ada recommends someone different tomorrow.

    Here is that field, in the real product.

    Isabella's record reads: master in blonde hair, world renowned for blondes, bubbly, thoughtful, loves to have fun and laugh. Underneath it the app says in small grey text that the AI Concierge uses this for context. That sentence is the entire matching system.

    • Written by whoever runs the salon, in normal sentences
    • One per staff member, as long or short as you want
    • Also controls whether they appear in online booking at all
    Personality and choice

    Ada asks. Then they can still pick.

    New clients often do not know the service name. Ada asks what result they want and how they like to sit in the chair, chatty or quiet, consult heavy or in and out, then books the fit. If they already have a stylist in mind, she offers that person too.

    • Gets the right service even when they cannot name it
    • Matches specialty and personality, not just first availability
    • Lets the client choose who they think is the best fit
    • Follows your instructions so a new install and an overdue fill never share a slot

    She narrows it to two, then lets the client choose

    Narrator: Based on my answers, Ada recommends the two best stylist matches completely on her own. She explains why each stylist is a good fit and lets me choose.

    Ada: For wavy hair I'd look at Tomika, great with women's cuts and a fashion-y eye, or Destin, big personality, very experienced with waves. Who feels better?

    Narrator: I make my selection. Ada checks availability and immediately offers the next open appointment times. Just like that, I'm booked on the calendar with the right stylist. This isn't online booking. This is agentic AI making intelligent decisions the same way your best front desk manager would.

    Two names, a reason for each, and the client decides.

    She asked for someone good with women's cuts who is talkative. Ada came back with Tomika for the fashion-y eye or Destin for the big personality and experience with waves, then asked which felt better. She picked Destin, and only then did times appear.

    • Every clause of that reasoning came from a staff description
    • Nobody had to know a service name to get to the right person
    • The client still makes the final call, which is the point
    Two ways in

    Two ways to book. Ada can finish both.

    Have Ada text them

    They enter a cell number. Ada texts and walks the whole visit, including service, personality, photos, and a deposit or card on file when you require it. Then she books. Text is where they already are, and it captures the number for every follow-up after.

    See 24/7 texting

    Book online themselves

    Simple visits can still finish on your site. When it gets complicated, whether that is several services, the wrong menu name, or a personality match, Ada steps in so nobody has to pretend to be the receptionist.

    Instructions you own

    Service and staff booking instructions in plain text. Ada follows them as house rules.

    Staff descriptions you write

    Specialty and personality in your words. Change them and Ada's matching changes with you.

    Built for multi-specialty floors

    Color, extensions, texture, and cuts on one team, without making the client guess the org chart.

    Discovery

    Why she asks, and where the answers go.

    Ada can't stretch an appointment because a client says their hair is long. Durations are yours and she has no power to change them. So the questions exist for one reason: the stylist reads the answers before the client sits down.

    Services where the chair varies

    Cuts, color, corrections. One or two quick questions whose answers actually help someone prep: length, what they want different, what they've had done before.

    Services that are the same either way

    A 60-minute massage, laser on one area, a beard trim. She skips discovery entirely, because asking wastes everyone's time and reads as a form.

    The one clarifier that changes the booking

    Gel or regular. Full set or fill. Those answers pick a different service, so she asks once, keeps it short, and moves on.

    She never gatekeeps the booking with a questionnaire

    One or two questions during the flow, then a single catch-all after it's booked: “anything else we should know before the appt?” That's where allergies, sensitivities and the occasion turn up. All of it lands in the appointment notes, so the gap between how it felt to text in and how it felt in the chair closes.

    Where this connects
    24/7 textingThe thread all of this happens in: how she quotes price, picks two times, and handles the client who stalls.Ada for your teamThe same descriptions and instructions, from the staff side. She can rewrite either one for you on request.

    Matching FAQ

    How Ada books the right service and the right person.

    A customizable write-up of each person's specialty and personality: the vibe in the chair, who they are best for, what they are known for. Ada uses it to answer 'who is best for this?' and to match new clients. You write it in your own words, and that flexibility is how you shape Ada to your salon instead of living with a generic matcher.

    The first generation replaced paper.
    Adalace replaces software.