Notes on running an AI front desk
Practical writing for service businesses evaluating or running AI customer engagement, including the parts vendors usually leave out. Grouped by topic; each post answers one question.
AI receptionists
What an AI receptionist is, what it should and should not answer, and how to judge one before customers meet it.
Your AI receptionist's first week, day by day
What to do on each of the first seven days after an AI receptionist goes live: what to read, what to fix, and the signal that it is ready for more autonomy.
· 2 min readSetting your AI receptionist's tone of voice, with examples
Tone is a short paragraph, not a personality. How to write one, four examples for different kinds of business, and how to test it against real messages before customers see it.
· 3 min readAn AI receptionist setup checklist: 15 things to have ready
Before an AI receptionist answers its first customer, gather these fifteen things. The list a small service business can finish in an afternoon, grouped by what it protects.
· 3 min readWhat an AI receptionist should say after hours
The after-hours message that keeps a customer without misleading them: what to include, what to leave out, and how to handle the ones that cannot wait until morning.
· 4 min readApproval mode: why an AI receptionist should start supervised
What approval mode is, what you learn from a week of reviewing drafts, and how to decide which categories of conversation the AI can send on its own.
· 3 min readAn AI receptionist for HVAC and plumbing companies
How an AI receptionist handles emergency calls, estimate requests and maintenance bookings for HVAC and plumbing companies, and what it must refuse to promise.
· 3 min readAn AI receptionist for law firms: intake without giving advice
How a small law firm uses an AI receptionist for client intake, conflict-check questions and consultation booking, while never offering legal advice or implying an attorney-client relationship.
· 3 min readAn AI receptionist for med spas: consults, deposits and the questions it must not answer
How a med spa uses an AI receptionist to book consultations and treatments, take deposits, answer prices from an approved list, and keep every clinical question with a provider.
· 3 min readAn AI receptionist for salons and barbershops
How a salon or barbershop uses an AI receptionist to book by stylist and service, fill cancellations, and stop losing walk-in-style calls while everyone's hands are busy.
· 3 min readAn AI receptionist for veterinary clinics
How a veterinary clinic uses an AI receptionist for wellness bookings, vaccine reminders and records, while every call about a sick pet goes straight to a person.
· 3 min readWhen an AI receptionist should hand off to a person
The five triggers that should always route a conversation to a human, how a good handoff reads to the customer, and why the rules must run before the AI generates anything.
· 4 min readThe real risks of an AI receptionist, and the control for each one
Wrong answers, missed handoffs, texting rule violations and data exposure: the four ways an AI receptionist goes wrong at a service business, and the specific control that prevents each.
· 4 min readAI receptionist vs chatbot: what is actually different
A chatbot answers questions on a web page. An AI receptionist answers on every channel, books appointments, hands off to people and keeps a record. The differences that matter, and the ones that are marketing.
· 3 min readHow to evaluate an AI receptionist demo: 12 things to test
A checklist for the demo: the questions to ask, the failures to provoke on purpose, and the vendor answers that should end the conversation.
· 3 min readHow to train an AI receptionist on your business in an afternoon
What an AI receptionist needs to know before it talks to customers, where that knowledge comes from, and the order to load it so the first week goes well.
· 4 min readWhat an AI receptionist costs, and what the price usually hides
The three pricing models AI receptionist vendors use, the costs that sit outside the subscription, and how to compare a quote with a human receptionist or an answering service fairly.
· 4 min readWhat an AI receptionist should refuse to answer
The categories of question an AI receptionist should decline, why declining is a feature, and how to phrase the refusal so the customer still feels looked after.
· 3 min readAn AI receptionist for a dental office: what it should and shouldn't answer
Insurance questions, emergencies, and new-patient enquiries are most of a dental front desk's day. Here's which of them software should handle and which it must hand to a person.
· 5 min readAI receptionist vs answering service: which one actually fits your business
Answering services take messages. AI receptionists answer questions and book appointments. Here's the honest comparison, including where a human service still wins.
· 5 min readWhat is an AI receptionist?
An AI receptionist answers customer questions, captures leads, and books appointments automatically. Here's what that actually means, what it can't do, and how to tell a real one from a chatbot.
· 4 min readMissed call text back
Turning the calls you could not answer into conversations, without annoying anyone or breaking a rule.
Missed call text back for salons and barbershops
Salons miss calls because every stylist's hands are busy. What the first text should say to a salon client, how the reply becomes a booking, and what to hand to a person.
· 2 min readRewriting your voicemail greeting for a text-first business
Most callers hang up at the voicemail greeting. A greeting that points them to text keeps them. The structure, four examples, and what to leave out.
· 3 min readHow missed call text back works, step by step
What happens in the seconds after a call goes unanswered: detection, the first text, the reply, the handoff, and the record. The mechanics, without the marketing.
· 3 min readMissed call text back after hours: what to send and when to stop
How to handle the calls that come in after closing: the one honest reply, the quiet-hours rules, the emergency route, and the morning follow-up that turns a night-time call into a booking.
· 3 min readMissed call text back and TCPA consent: what a business owner needs to know
Does texting back a missed call need consent? The plain-English version of how the rules are usually read, the setup that keeps you on the safe side, and why this post is not legal advice.
· 3 min readMissed call text back for dental offices
Why dental front desks miss calls even when fully staffed, what the first text should say to a dental patient, and how it turns into a booked cleaning or a same-day emergency slot.
· 3 min readMissed call text back for home services companies
How plumbers, electricians, HVAC and cleaning companies use missed call text back to catch the calls that come in while everyone is on a job, and what the first text should ask.
· 3 min readMissed call text back for med spas
Why med spas lose consult bookings to voicemail, what the first text should ask a prospective client, and how the reply turns into a booked consultation with a deposit.
· 3 min readEight missed call text back mistakes that cost you the caller
The setup and wording mistakes that turn a good idea into an annoying one: slow replies, promotional first texts, sequences through the night, texting landlines, and more.
· 4 min readMissed call text back ROI: how to measure it with your own numbers
The five figures you need, where to find each one, and a worked method for calculating what missed call text back is worth to your business without a vendor's statistics.
· 3 min readMissed call text back with your existing phone number
You do not have to change your number. How call forwarding lets missed call text back work with the number on your signage, what the text comes from, and when porting makes more sense.
· 3 min readWhat to do when a caller replies to your missed-call text
The reply is the moment the product earns its keep. How fast to answer, what the second message should do, when to book versus call back, and the replies you should not automate.
· 4 min readMissed-call text-back scripts that get replies
Copy-ready scripts for dental, med spa, home services, salons and legal, plus the four rules that separate a text people answer from one they ignore.
· 5 min readMissed call text-back: what it is and how to do it legally
Missed call text-back automatically texts anyone whose call you couldn't answer. Here's how it works, why it converts, and the US messaging rules that decide whether you can send at all.
· 4 min readSpeed to lead and follow-up
Why the first minutes decide most leads, and how to follow up in a way people reply to.
Speed to lead for med spas: the evening DM problem
Med spa enquiries arrive as evening DMs and texts from people comparing clinics. How to answer first with something useful, move toward a consultation, and keep clinical questions with providers.
· 3 min readSpeed to lead for home services companies
Homeowners with a problem call or message several companies and book the first good answer. How plumbers, electricians, HVAC and cleaning companies can be that answer while every technician is on a job.
· 3 min readAutomating follow-up without sounding automated
The difference between automation people appreciate and automation people resent is mostly in six small choices: specificity, timing, honesty, stopping, handoff, and voice.
· 3 min readFollow-up sequences that convert (and stop when they should)
How to build a lead follow-up sequence for a service business: the first reply, the spacing, the message that changes each time, and the rule that ends it.
· 4 min readHow many follow-ups before you stop?
Three, for most service businesses, and the reasoning behind the number: what each follow-up is for, when a fourth makes sense, and the signals that mean stop now regardless of count.
· 3 min readLead response time: what good looks like for a service business
Targets for the first reply, the reply to a reply, and the human callback, and how to measure each one from your own inbox rather than from a vendor's chart.
· 3 min readLead scoring for small businesses: the three-question version
Enterprise lead scoring is a model. Small business lead scoring is three questions, answered from the first conversation, that decide who a person calls first this morning.
· 3 min readQualifying questions by industry: the four to ask before you book
The four questions that sort a lead for a dental office, a med spa, a plumber, a law firm, a salon, a real estate agent and more. Ask them in the first minute and the rest of the conversation writes itself.
· 4 min readSpeed to lead for independent insurance agencies
Quote requests go to several agencies at once. How an agency replies first, sorts the quote from the service request, gets the right details for the agent, and never quotes a premium by text.
· 3 min readSpeed to lead for real estate agents
A listing enquiry is being sent to three other agents in the same minute. How to reply first, qualify without interrogating, book the showing in the thread, and keep every lead in one record.
· 3 min readSpeed to lead statistics: what the research actually says
The two studies behind almost every speed-to-lead statistic you have seen, what they measured, what they did not, and how to use them without repeating numbers nobody can source.
· 4 min readText vs email vs call for lead follow-up
Which channel to use for the first reply, the follow-ups and the close, at a service business. When text wins, when a call is worth a person's time, and what email is still for.
· 3 min readWhat to say in a first follow-up text (with examples)
The first text to a new lead has one job: get a reply. The structure that works, examples for six kinds of business, and the phrases that quietly kill response rates.
· 3 min readWhy web form leads go cold, and the fix for each cause
The five reasons a lead who filled in your form never books: the delay, the email-only reply, the form itself, the missing next step, and the follow-up that never came. Each has a specific fix.
· 3 min readSpeed to lead: why the first five minutes decide the sale
What speed to lead actually measures, why the curve is so steep, and how to respond fast without a person sitting on the form.
· 4 min readBooking and reminders
Booking by text, keeping calendars honest, and the reminders that actually reduce no-shows.
Cancellation policy examples for service businesses
Five cancellation policies you can adapt, from a simple notice rule to deposits for long services, and the wording that makes each one feel fair to customers.
· 2 min readHow to calculate your no-show rate, and what to do with it
The no-show rate formula, the three mistakes that distort it, how to split it so it tells you something, and the fixes that match each pattern.
· 3 min readAI booking for multi-location businesses
Booking across several branches adds three problems: which location, whose availability, and who is allowed to see what. How a booking system handles each, and what a branch manager should and should not be able to do.
· 3 min readAppointment reminder timing: what works for different kinds of appointment
When to send the first reminder, the second, and whether to send a third, by type of appointment. And why every reminder needs a one-reply way to reschedule.
· 3 min readBooking appointments by text: how it actually works
What happens between 'do you have anything Thursday' and a confirmed slot on the calendar: availability, the offer, the pick, the hold, the confirmation, and what can go wrong at each step.
· 4 min readBooking buffers and turnaround time: the setting that stops your day running late
What a buffer is, why back-to-back bookings without one produce a day that runs forty minutes behind by 3pm, and how to set buffers per service and per person without wasting slots.
· 3 min readDouble booking: how it happens and how software prevents it
The four ways two customers end up in the same slot, the mechanism that stops each one, and the test that tells you whether your booking system actually has it.
· 4 min readYour online booking page: what to put on it and what to leave off
The eight things a booking page needs, the six that lower completion, and why the page should be a fallback for people who prefer it rather than the main way customers book.
· 3 min readReducing no-shows with deposits: how to ask without losing the booking
Which appointments should take a deposit, how much, how to word it so it feels normal rather than suspicious, and how to handle the refund and no-show rules honestly.
· 3 min readRescheduling by text without the back-and-forth
Moving an appointment should take two messages, not six. How to structure the reschedule so the customer picks from real alternatives, the calendar updates everywhere, and nobody phones anyone.
· 3 min readTwo-way calendar sync, explained for business owners
One-way sync copies your calendar somewhere else. Two-way sync means bookings made anywhere show up everywhere, immediately. Why the difference decides whether an AI can be trusted to book.
· 4 min readWaitlists and cancellations: filling the gap before it costs you
How an automated waitlist turns a same-day cancellation into a filled slot in minutes: who goes on the list, how the offer goes out, who gets it, and what to do when nobody replies.
· 3 min readCan an AI receptionist actually book appointments?
Yes, but there's a large difference between an AI that collects a booking request and one that writes to your calendar. Here's how to tell which you're being sold.
· 4 min readReducing no-shows: what actually works, and what just annoys people
Timing, wording, and the reply that turns a reminder into a rebooking. Plus the consent rule that decides whether you may send reminders at all.
· 5 min readBusiness texting
Numbers, templates, segments and the mechanics of texting customers at a service business.
Using Twilio for small business texting: what to know first
Twilio is the messaging platform behind many business texting tools. What an account involves for a small business: numbers, registration, costs, and what the tool on top of it still has to do.
· 2 min readSMS reminders vs email reminders for appointments
Which channel to use for appointment reminders, and when to use both: read rates, what each is good for, consent, and the reminder schedule that works for most service businesses.
· 2 min readBusiness texting quiet hours: what the rules say and how to set them
The federal 8am to 9pm window, the states that narrow it, why the recipient's timezone is the one that counts, and how to set quiet hours in a system so nobody has to remember.
· 4 min readHow to get customers to text you instead of calling
Where to put the texting number, the wording that makes people use it, the voicemail greeting that redirects calls, and why the first reply decides whether they ever text again.
· 4 min readSMS character limits and segments: why your 170-character text costs two
How SMS segments work, why an emoji or a curly quote can double the cost of a message, and how to write business texts that fit in one segment without sounding clipped.
· 3 min readSMS opt-in language that holds up
What a text-message consent line needs to say, examples for web forms, booking flows and paper forms, the mistakes that make consent unusable, and how to keep the record.
· 4 min readSMS templates for service businesses: the twelve you actually need
Copy-ready text templates for confirmations, reminders, reschedules, missed calls, follow-ups, deposits, review requests and the rest, with the rule for each.
· 4 min readToll-free vs local number for business texting
The practical differences between a toll-free and a local number for texting customers: how each is registered, how each is perceived, what each costs, and which fits a single-location service business.
· 4 min readTransactional vs marketing texts: the difference that decides the rules
Why a reminder and a promotion are treated differently, how to tell which one a message is, the grey area in between, and the one habit that keeps you on the right side.
· 4 min readWhat happens when a business text fails to deliver
The difference between sent, delivered and read, the common reasons a text never arrives (unregistered number, landline, carrier filtering, blocked), and what your system should do about each.
· 4 min readTexting compliance
Consent, 10DLC, STOP and HELP, quiet hours and the records to keep. Plain English, not legal advice.
Texting rules by state: why the strictest one is the one to follow
Several states have their own telephone solicitation laws on top of the TCPA. Why a business texting customers in more than one state should set its rules to the strictest, and what that usually means. Not legal advice.
· 3 min readA2P 10DLC: what it is and why your texts do not arrive without it
The carrier registration system for business texting from standard phone numbers: what gets registered, what happens if you skip it, how long it takes, and what it costs in plain terms.
· 4 min readAI disclosure laws: what a business using an AI receptionist should know
Some states already require telling people they are talking to an automated system in certain situations, and more are following. What the existing laws cover, why disclosing everywhere is the easy answer, and how to word it.
· 4 min readCall recording consent basics for a business answering calls with AI
One-party and all-party consent states, why the caller's location is the one that counts, what a compliant greeting says, and what to do with recordings and transcripts afterwards. Not legal advice.
· 4 min readHIPAA and texting patients: the practical rules for a small practice
What a dental, medical or therapy practice can text, what it should keep out of texts, what the patient's own preference changes, and what to ask a messaging vendor. Not legal advice.
· 4 min readKeeping a consent record for texting: what to store and for how long
The consent record is the whole defence if a complaint arrives. What each record needs, where it comes from for each source, how opt-outs are recorded, and how long to keep it all.
· 4 min readTCPA consent for text messages, explained for business owners
The two levels of consent under the TCPA, which messages need which, how revocation works, why the rules have been changing, and the setup that stays on the safe side. Not legal advice.
· 3 min readSTOP, HELP, and the texts you are required to answer
The keywords US carriers expect every business texting program to handle, what your replies should say, and the mistake that leaves people opted out on one channel and reachable on another.
· 6 min readChannels and the shared inbox
Email, Instagram, WhatsApp, Messenger, web chat and SMS, in one place your team can actually work from.
Snoozing conversations: how to use it without losing people
Snooze hides a conversation until a date so it comes back when it can be acted on. When to snooze, when not to, how to choose the date, and the note that should go with it.
· 2 min readShared inbox best practices for a front desk team
Ten habits that keep a shared inbox from becoming the place messages go to be forgotten: ownership, notes, tags, snooze, and the five-minute review at the end of each day.
· 3 min readFacebook Messenger for service businesses: still worth answering
Messenger is where a lot of local customers, especially older ones, send their first message. How to connect it, what the messaging window allows, what the AI should do with it, and how it fits the shared inbox.
· 3 min readInbox assignment: who owns a conversation, and why 'everyone' means nobody
How to assign conversations in a shared inbox so nothing sits unanswered: queues, rules, reassignment, the branch problem, and the report that shows what is stuck.
· 4 min readInstagram DM automation for service businesses
How to answer Instagram DMs automatically and honestly: what the platform requires, the 24-hour window, what an AI should do with a DM about a price or a booking, and what to keep human.
· 4 min readInternal notes and handoffs in a shared inbox
How a team passes a conversation between people without the customer noticing the seams: notes the customer never sees, mentions, the handoff message, and what the next person needs to know.
· 4 min readOne customer, many channels: how a system knows the DM and the text are the same person
Identity resolution for a small business, in plain terms: what can be matched automatically, what needs the customer's help, how to merge safely, and what to do when the system is not sure.
· 4 min readResponse time targets for a shared inbox
Targets a small team can actually hold: first reply, human reply after handoff, and resolution, by channel and by hour, and how to report them without turning the inbox into a stopwatch.
· 3 min readWeb chat that captures leads instead of losing them when the tab closes
Most website chat widgets lose the visitor the moment they leave. How to run web chat so the conversation continues by text, what to ask and when, and what the AI should do in the first message.
· 4 min readWhat is a unified inbox, and why one customer should be one thread
A unified inbox puts texts, Instagram DMs, WhatsApp, Messenger, web chat and email in one place, one thread per customer, with the record beside it. What that changes for a small team, and what to look for.
· 3 min readWhatsApp for U.S. service businesses: when it is worth adding
WhatsApp is not the default in the U.S., but for some customer bases it is the channel. How the business platform works, the 24-hour window and template messages, what it costs, and how to decide.
· 4 min readWhen to close a conversation in a shared inbox
Open conversations pile up when nobody knows the rule for closing. The states a conversation can be in, when each ends, who closes it, and what happens when the customer replies to a closed one.
· 3 min readCustomer records
The few fields a service business needs, keeping records clean, and why the timeline matters more than the form.
Custom field examples by industry
The custom fields worth adding to a customer record for twelve kinds of service business, the field type for each, and the test for whether a field earns its place.
· 3 min readLifecycle stages for a service business: lead, prospect, customer, lapsed
Four stages are enough for most service businesses. What each one means, what moves a contact between them, and what you should do differently at each stage.
· 3 min readThe CRM fields a service business actually needs (and the forty it does not)
Most CRM setups fail because they have too many fields nobody fills in. The eight fields every service business needs, the handful per industry, and why everything else should be a note or a tag.
· 3 min readA CRM for multi-branch businesses: one customer, several locations, the right access
How customer records should work when a business has more than one location: one record per customer, a home branch, branch-scoped access for managers, and reports the owner can compare.
· 3 min readThe customer timeline: why it matters more than the fields
The timeline is every conversation, booking, note and consent for one customer, in order. Why it is the thing a person reads before replying, what belongs on it, and what the AI should add automatically.
· 3 min readDeduplicating customer records: how duplicates happen and how to stop them
Where duplicate customer records come from, how to find them safely, the merge rules that keep the right details, and the intake habits that stop new ones appearing.
· 3 min readExporting your data: why it matters before you need it
What a complete export of your customer data looks like, why you should get one before signing with any vendor, what to check in it, and how to use exports for backups and for leaving.
· 3 min readImporting contacts from a spreadsheet without making a mess
How to move customers from a spreadsheet or an old system into a CRM cleanly: the columns to prepare, phone number formatting, duplicates, consent, and what not to import at all.
· 3 min readTags vs fields vs pipelines: which one to use for what
The three ways a CRM organises information, what each is good for at a service business, and the rule for choosing so the record stays usable a year later.
· 4 min readWhat is an AI CRM, and what should it actually do for a service business?
An AI CRM keeps the customer record, updates it from conversations without anyone typing, and puts the record beside every message. The three things the AI should do to the record, and the three it should not.
· 3 min readCRM or shared inbox: which does a service business actually need?
An inbox organises messages. A CRM organises people. Most service businesses buy one, need both, and end up with the customer's history scattered across three tools.
· 5 min readReviews and reputation
Asking for reviews properly, responding to the bad ones, and what you are and are not allowed to send.
Google Business Profile basics for a service business
The profile fields that matter, the ones that are often wrong, how messaging and bookings links work, and a monthly routine that keeps the profile accurate.
· 3 min readAI-drafted review responses: the rules that make them safe
An AI can draft a response to a review in seconds and remove the angry first draft. What it should draft from, what it must never include, why a person always posts, and how to keep responses from sounding identical.
· 4 min readAsking for Google reviews by text: the message, the timing and the rules
How to ask a customer for a Google review by text so that people actually do it: the wording, the link, when to send, who to ask, and the rules from Google and the FTC that shape all of it.
· 4 min readHandling a review you think is fake
What to check before calling a review fake, how to respond publicly without accusing anyone, how to report it to the platform, and what to do while it stays up.
· 4 min readResponding to negative reviews: a method that does not make it worse
The response to a bad review is read by hundreds of future customers, not by the reviewer. A four-part structure, what never to write, and when to take it offline.
· 3 min readReview gating: what it is, why platforms ban it, and what to do instead
Asking only happy customers for public reviews, or filtering unhappy ones to a private form first, is review gating. Why Google prohibits it and the FTC has acted on it, and the honest alternative that works better.
· 4 min readReview request timing: when to ask, by kind of business
The right moment to ask for a review depends on when the customer can judge the result. Timing by industry, the rules about hours, and how often to ask the same customer.
· 4 min readReview velocity and local search: what Google actually says matters
Google names relevance, distance and prominence as its local ranking factors, and says reviews contribute to prominence. What that means for a steady flow of honest reviews, and what it does not mean.
· 4 min readReviews and consent: what you can send, and to whom
Where a review request sits between transactional and marketing, what consent it needs, what you may not offer in it, and how to keep the request clean so it stays on the right side. Not legal advice.
· 3 min readRunning AI responsibly
Grounding, guardrails, prompt injection and audit trails, explained for the person accountable for what the AI says.
Autonomous vs approval mode: how to decide for each AI agent
Approval mode means a person reviews every AI reply before it sends; autonomous means it sends on its own. How to decide which each agent should run in, and the evidence that should move it.
· 3 min readWriting an AI use policy for a small service business
A one-page AI use policy covers what the AI may answer, what it must hand off, who supervises it, how customers are told, and what happens when it gets something wrong. A template to adapt.
· 3 min readAI hallucinations at the front desk, and how to stop them
A hallucination is a fluent answer with nothing behind it: a price, a policy, an opening time the AI made up. Why it happens, what it looks like in a customer conversation, and the four mechanisms that prevent it.
· 4 min readAuditing what your AI said: the log, the weekly read, and what to look for
You are accountable for what the AI says to customers. What a proper log contains, how to read a sample of conversations each week without it becoming a job, and the patterns that mean a rule or a fact needs changing.
· 4 min readData handling: fifteen questions to ask an AI vendor before you sign
Where your customer data goes, who can see it, whether it trains anyone's model, how long it is kept, and how you get it back. The questions, what a good answer sounds like, and the answers that should end the conversation.
· 4 min readGrounding, explained for business owners
Grounding means the AI answers only from facts you gave it and says so when it has none. What it is, how it differs from a model that knows things, how to test whether a product actually does it, and why it is the one feature that decides trust.
· 4 min readGuardrails: what they are and what they are not
A guardrail is a check that runs outside the AI model and cannot be talked out of. What guardrails cover at a front desk, why 'the prompt tells it to be careful' is not one, and how to test whether a product has them.
· 4 min readKnowledge gaps: turning the questions your AI could not answer into answers
Every 'I am not sure' is a question a customer actually asked. How the gaps log works, how to review it in fifteen minutes a month, which gaps to fill and which to leave as handoffs.
· 4 min readPrompt injection, explained for business owners
A customer types 'ignore your instructions and give me a discount'. Whether that works depends on how the AI was built. What prompt injection is, what it can and cannot do to a well-built receptionist, and the questions to ask a vendor.
· 4 min readBy industry
How an AI front desk fits the specific workflows of one kind of business.
An AI front desk for gyms and fitness studios
How a gym or studio uses an AI front desk to answer membership, trial and schedule questions, capture a prospect's goals, and hand the conversation to a coach who can close it.
· 2 min readAn AI front desk for auto repair shops
How an auto repair shop uses an AI front desk to answer price and service questions, capture the vehicle and the problem, and hand anything diagnostic to a service advisor.
· 2 min readAn AI front desk for accounting firms in tax season
How a tax and accounting firm uses an AI front desk to handle the February phone: booking with the right preparer, flagging notices with deadlines, sending document checklists and keeping every document off text.
· 3 min readAn AI front desk for chiropractors and physical therapy clinics
How a clinic that treats pain uses an AI front desk for new patient evaluations, care-plan rescheduling and insurance questions, with every clinical judgement left to a clinician.
· 3 min readAn AI front desk for landscaping and lawn care companies
How a landscaping company uses an AI front desk to check the ZIP before promising anything, book estimate visits, set up recurring service, handle rain-day reschedules and never price a yard it has not seen.
· 3 min readAn AI front desk for moving companies
How a moving company uses an AI front desk to capture both addresses, the date and the size of the move while the customer is still deciding who to call, book the estimate or video survey, and never quote a total before a survey.
· 3 min readAn AI front desk for optometry practices
How an optometry practice uses an AI front desk for exam and contact lens bookings, vision plan questions, glasses pickups and recalls, with sudden vision changes treated as emergencies for a person.
· 3 min readAn AI front desk for pest control companies
How a pest control company uses an AI front desk to capture what the customer saw and where, confirm the service area, prioritise the urgent calls, book inspections and run quarterly service, without promising what dispatch has not confirmed.
· 3 min readAn AI front desk for pet groomers and boarding kennels
How a grooming salon or boarding business uses an AI front desk to book by breed and size, collect vaccination records before drop-off, send the ready-for-pickup text and handle boarding intake, with wet hands and a dryer running.
· 3 min read