Built for beauty salons

Treat clients like VIPs — without the late nights typing.

Same Brilliant AI platform, tuned end-to-end for beauty salons. Agents that know your world, workflows that ship on day one.

If this is you

The unglamorous work eating your week.

  • Treatment FAQs (timing, aftercare) over the same DMs every day
  • Course-of-treatment bookings drift
  • Aftercare reminders forgotten

Sound familiar? Here's what changes the day your AI team comes online.

Outcomes

What beauty salons get from day one.

  • FAQ answers drafted from your real treatments + prices
  • Course bookings recalled per session ('session 3 of 6 — book in?')
  • Aftercare SMS sent 4h + 24h after specific treatments
  • Review-requests targeted to delighted clients only
  • Quiet-window promos drafted weekly
Your AI team

Four agents that already know your world.

Same Brilliant AI agents, niche-tuned playbooks. They speak your trade, not generic CRM-speak.

receptionist

Treatment-aware FAQ + booking

"How long does an HD brow take?" → "HD brows take 45 mins (£55). I've got Wednesday 14:00 or Saturday 10:30 — which?"

recall

Course tracker

Tracks Carla's 6-session laser course; nudges her after each one with the next available slot at the same time-of-day she prefers.

reviews

Targeted asks

Sends review-request only to clients who left a 5★ NPS reply; drafts the response to each new Google review.

compliance

Aftercare reminder gates

Holds the booking confirmation until the agent has sent the treatment-specific aftercare info.

They sound like this

Real conversations, in your tone of voice.

Two examples your agents handle out of the box. Tone shifts when we tune it for your specific business.

Hi, can you tell me about your bridal package? Customer · inbound
Yes! Our bridal package includes trial + day-of for hair + makeup, £350 per person, takes about 4 hours on the day. We book these 6+ months out — when's your wedding? Agent · drafted, awaiting your sign-off
Sorry, can I push tomorrow's appointment to next week instead? Customer · inbound
Of course! I've cancelled your 14:00 nail appointment tomorrow. For next week I've got Tuesday 14:00, Thursday 16:00 or Friday 11:00. Which? Agent · drafted, awaiting your sign-off
On day one

The 5-workflow starter pack.

Every beauty salons sub-account ships pre-loaded with these. Switch any off, tune any with your wording.

  1. 01 Course-of-treatment session-by-session recall
  2. 02 Treatment-specific aftercare SMS series
  3. 03 DM auto-reply with treatment menu + booking link
  4. 04 Targeted review-request (5★ NPS only)
  5. 05 Bridal-package long-window nurture (6-12 month)
The full footprint

What ships for beauty salons, in full.

35+ workflows and 14 specialist agent roles live for your niche. Here are the headline picks; the full catalogue is one click away.

Top niche workflows

  • Empty-Chair Filler & Gap Predictor "Gappy days" wreck a thin-margin salon: an empty chair on Tuesday is revenue that can never be recovered, while the owner has no idea on Monday which slots will go unfilled or which lapsing high-value clients to chase first. Generic discoun
  • Rebook-at-Checkout Memory The single biggest retention lever in a salon is the next appointment booked before the client leaves the chair — but in a busy front-desk moment it is forgotten, and the client drifts. Rebooking rate sits at ~30% when it should be 70%+, an
  • Retail Product Reorder Predictor Retail is the highest-margin line in a salon (often 40-55% vs ~10% on services) but most salons leave it on the shelf: a client buys a £24 bottle of shampoo, runs out in eight weeks, and rebuys it on Amazon because nobody reminded them. The
  • Birthday + 30 Treatment Upsell Salons send a generic "Happy Birthday, 10% off" text that gets ignored because it lands in the same week as every other birthday offer. The higher-intent moment is ~30 days after the birthday — pay-day proximity, an event coming up, a "trea
  • WhatsApp Stylist-Voice Automation Salon relationships are personal — clients book a *person*, not a salon. But personalised check-ins at scale are impossible by hand, and automated messages that read like a bot ("Dear valued customer") break the very intimacy that retains t

+ 10 more niche workflows + 20 universal workflows. See them all.

Top specialist agents

  • frontline
  • booking
  • recall
  • clinical handover
  • compliance
  • finance

+ 8 more specialist roles for beauty salons. See the full fleet.

14 specialists, beauty salons-only

A thinking team — built for beauty salons.

These aren't generic 'send a reminder' workflows. They model, recommend, optimise, and tell you what to do. One creative thing each, that no off-the-shelf automation tool can do for you.

  • Snip Empty-chair filler reports to Otis

    Watches the diary 7 days ahead; identifies the gaps + the right loyal-customer per gap (right stylist, right service-length, recent visit-cadence) + drafts the personalised fill-the-gap nudge.

    Weekly Next 7 days gaps + the 10 named fill-the-chair candidates + the per-customer hook.
    Advises gap-fill candidate + nudge
    Ingenuity Reads the LOYAL CUSTOMER × STYLIST chemistry - a client who bonds with stylist A doesn't move to stylist B even at a discount; generic gap-fill ignores the chemistry.
  • Loop Rebook-at-checkout memory reports to Nell

    At checkout, surfaces the right next-visit window (6 weeks for cut, 8 for colour root touch-up, 4 for barber) + the right time-slot proposal based on stylist availability + client preference.

    Weekly Rebook capture rate this week vs last + 1 stylist needing checkout-script coaching.
    Advises rebook prompt per service
    Ingenuity Knows the SERVICE-SPECIFIC re-visit window varies by client (long hair colours rebook tighter than pixie cuts) - generic 'see you in 6 weeks' is wrong half the time.
  • Shelf Retail product reorder predictor reports to Marnie

    Per-client model of which retail products they bought + when they'd run out + the seasonal swap moment (switch shampoo for winter scalp); drafts the per-client reorder nudge tied to the next appointment.

    Weekly Top 15 retail reorder candidates + the per-client named product.
    Advises retail reorder per client
    Ingenuity Predicts run-out from BOTTLE-SIZE × USE-PATTERN - the 300ml bottle for a customer who washes 4× a week runs out in 6 weeks, not the generic 8.
  • Glow Birthday + 30-day treatment upsell reports to Marnie

    Tracks birthday + life-event signals; drafts the right per-client treatment upgrade for the next appointment (deep conditioning treatment for the client who hasn't tried it yet; facial for a regular hair-only customer).

    Weekly 10 named treatment-upsell candidates this month + the per-client treatment + the why-now framing.
    Advises treatment upsell pick per client
    Ingenuity Carries the LIFE-EVENT signal (engagement / new job / school reunion) into the treatment pitch - generic 'try our new facial' blasts miss the moment.
  • Echo WhatsApp stylist-voice automation reports to Marnie

    Drafts WhatsApp / Instagram-DM replies in the per-stylist's actual voice (learned from past messages); lets the front-desk auto-reply WITHOUT sounding robotic - stylists approve in 1 tap.

    Weekly Stylist-voice match score per stylist + 2 stylists whose tone needs more example messages to lock in.
    Advises stylist-voice draft per inbound
    Ingenuity Matches PER-STYLIST tone (one stylist uses emoji, another doesn't; one signs off 'xx', another 'thanks!') - generic auto-replies all sound the same + the regulars know.
  • Lens AI photo-consultation filter reports to Julian

    Reads inbound consultation-request photos against the salon's portfolio + the stylist's specialism + realistic outcome modelling; flags any 'I want this' request where the photo is unrealistic on the client's hair type.

    Weekly Consultations this week + 2-3 where the in-person honest-conversation pre-brief saves a refund later.
    Advises consultation pre-brief + reality check
    Ingenuity Cross-references PHOTO-INSPIRATION against the actual client's hair type / texture / current colour - generic consultation tools take the photo at face value + the disappointment lands in the chair.
  • Drift Lost-client re-engagement reports to Nell

    Per-client model of who's slipped past their normal re-visit window + WHY (life event / competitor / service complaint signal); drafts the right re-engagement for each.

    Weekly Top 10 lapsed clients ranked by re-engage likelihood + the per-client hook.
    Advises lapsed-client re-engage hook
    Ingenuity Reads the SOFT-COMPLAINT signal (a 4-star review, a shorter-than-usual visit) as the leading lapse indicator - generic 'we miss you' campaigns blast blameless lapsers.
  • Spark Flash-sale Instagram-gap-fill reports to Marnie

    When the diary has a same-week gap, drafts the per-stylist Instagram flash-sale post (real photos, honest discount tier, time-boxed) + tracks the conversion per.

    Weekly Flash-sale conversion this week + 1 post format that outperformed the baseline.
    Advises flash-sale post + stylist pick
    Ingenuity Posts SAME DAY the gap appears (not 3 days later when the gap is gone) + uses the actual stylist's photos - generic flash-sale tools blast the salon's stock photo.
  • Mirror Branded before/after generator reports to Marnie

    Captures the before/after at checkout (with client consent), brands consistently to the salon, posts at the optimal time of day for the stylist's audience.

    Weekly Before/after posts this week + per-stylist engagement lift vs baseline.
    Advises branded before/after pack
    Ingenuity Times the post to the STYLIST'S audience peak (some audiences peak 7am, others 9pm) - generic schedulers use the same time for everyone.
  • Front Front-desk chat 24/7 reports to Nell

    After-hours / lunch-hour inbound (WhatsApp / Instagram / Google Business messages) gets the right next-step (book the slot / answer the FAQ / route to the right stylist) without making the customer wait.

    Weekly After-hours captures this week + 1 FAQ pattern to add to the auto-knowledge.
    Advises after-hours conversation route
    Ingenuity Knows which inbounds NEED a human (a complaint, a special-occasion booking) + which can self-serve - generic chatbots either blast 'a human will be with you' for everything or pretend to handle it all.
  • Star Review request loop reports to Marnie

    Drafts the post-visit review request timed to the client's emotional peak (24-48h after a great cut) + the right platform per client (Google for older demo, Instagram for younger).

    Weekly Reviews collected this week + 2 clients whose timing matters for next week.
    Advises review request timing + platform
    Ingenuity Times to the EMOTIONAL peak (24-48h after a great service, when the compliments at work are landing) - generic review tools fire on schedule.
  • Anchor Stylist retention + early-warning reports to Nell

    Per-stylist early-warning model (booking-rate drift, tardiness, peer-comments, social-media changes, training-request frequency); flags retention risks BEFORE the resignation letter.

    Weekly 2-3 stylists at retention-risk + the per-stylist named conversation to have this week.
    Advises stylist retention conversation
    Ingenuity Reads TRAINING-REQUEST frequency as a leading signal - a stylist asking about advanced courses is either investing or polishing their CV; generic HR misses the difference.
  • Tag AEO + style search optimiser reports to Marnie

    Optimises the salon's content for Answer Engine Optimisation (ChatGPT / Perplexity / Bing AI) on 'best salon for [style]' queries - the new local-SEO frontier.

    Weekly AEO mentions captured this month + 2 style-categories needing more deep-content.
    Advises AEO content brief
    Ingenuity Knows the QUESTIONS clients ask LLMs ('how often should I get my hair coloured?') + builds blog posts that answer them - generic SEO chases Google keywords the LLMs have already moved past.
  • Clip Barbershop walk-in cadence + cut-cycle predictor reports to Otis

    BARBERSHOP-only: predicts walk-in queue density by day + time of day; sends the right customer the right nudge to come at the quiet 11am rather than the 5pm rush - based on per-customer cut-cycle modelling.

    Weekly Next week walk-in forecast + 10 named customers due for cut + the off-peak nudge.
    Advises walk-in nudge + queue redistribution
    Ingenuity Models PER-CUSTOMER cut-cycle (some come every 2 weeks, others 6) + matches to off-peak slots - generic barbershop scheduling treats walk-ins as random arrivals.
Walk away from

What's costing you today

  • Treatment FAQs (timing, aftercare) over the same DMs every day
  • Course-of-treatment bookings drift
  • Aftercare reminders forgotten
  • Drafts you write yourself at 9pm
  • Follow-ups that never get sent
  • One more tool subscription you forgot you had
Walk into

What changes the day Sam configures you

  • FAQ answers drafted from your real treatments + prices
  • Course bookings recalled per session ('session 3 of 6 — book in?')
  • Aftercare SMS sent 4h + 24h after specific treatments
  • Review-requests targeted to delighted clients only
  • 35+ workflows running for you, not by you
  • One subscription replacing the stack you'd otherwise pay £400-600/mo for
  • Your data stays yours - never trained on, never sold (posture)

Ready to see this on your beauty salon?

A five-minute conversation with Sam captures your business, your tone and your priorities. No card needed.