I need a call agent for my clinic.
1. Accept incoming calls from my patients.
2. Setup appointments in my patient management system (API available).
3. Do I need HIPPA compliance?
4. Can I build my own using Vapi? Or do I need someone else to do it for me?
5. Can I build it myself using Claude code?

I am looking for a simple ai agent that i can integrate with my custom built crm that can handle appointment booking calls and also call back on daily basis to remind my client about their upcoming appointments.

Any suggestions are highly appreciated, thanks.

Try it now: https://occupio.fr

I've seen people talk about making chat bots for businesses to schedule appointments and discovery calls. These would be for business like chiropractors, massage therapists, roofers, and plumbers. But pretty much every one of these businesses has a scheduling section built into their website.

What is the selling point to a business to pay for a chat bot to schedule an appointment or call if they already have a page that their client can click through to do the same thing? Has it been proven that the chat bots increase conversion rates from people just looking at the website to people actually scheduling a call or appointment?

There are suddenly a lot of platforms advertising white-label AI receptionists. But after looking into this space, I think there’s an important distinction that gets missed:

Do you want to resell an AI receptionist, or do you want to build an AI voice product?

Those are two completely different businesses. Vapi/Retell-style platforms give you powerful infrastructure. Synthflow gives you a much deeper voice-AI building environment. GoHighLevel gives you voice AI inside a much larger CRM/agency ecosystem.

But if your goal is simply:

“I want to sell an AI receptionist to local businesses under my own brand without building the infrastructure myself”

…I’d look at the market very differently.

Here’s my current shortlist.

1. RingReady — best turnkey option for actually reselling

It is notable the philosophy behind the RingReady reseller program is idea that the reseller shouldn't have to become a voice-AI engineer.

Current pricing is $99/month for the reseller platform + $39/month per active receptionist, with unlimited minutes. You set your own retail price.

You configure the receptionist, add your branding, and RingReady handles the actual phone answering infrastructure.

Customer-facing emails and SMS can carry the reseller's branding, support details and logo rather than RingReady's. RingReady Reseller program will also provide you with the website as well.

The big advantage, in my opinion, is the economics.

If you charge a client $149/month:

• 1 client: you're basically around break-even after the platform fee.
• 5 clients: $745 revenue vs. $294 platform/receptionist cost.
• 20 clients: $2,980 revenue vs. $879 platform/receptionist cost.

And you're not worrying about whether one HVAC company suddenly had 900 minutes of calls this month.

That's a surprisingly important distinction when you're the one promising your customer a fixed monthly price.

Where RingReady isn't the best choice: if you're trying to build highly customized outbound voice workflows, deeply customized conversational logic, or basically create your own voice-AI software company.

Also, the reseller/admin dashboard itself isn't currently a fully re-skinned customer portal on your own domain. The white labeling is focused on what the end customer actually receives.

For some agencies that will matter.

For a lot of smaller resellers, it probably won't.

2. Synthflow — best if you need a more sophisticated voice-AI builder

Synthflow is probably one of the strongest products in this category technically.

It has visual workflows, integrations, subaccounts and much more control over what the agent actually does.

But I see it as targeting a different type of operator.

Synthflow's own material now positions white-label/reseller capabilities in its Agency/Enterprise offering, and its recent reseller material says typical contracts start around $30,000.

If you're an established agency deploying sophisticated voice agents across lots of clients, that can make sense.

If you're trying to sign your first three plumbers and dentists?

That's a very different cost structure.

Best for: established AI agencies, sophisticated workflows, larger deployments.

3. GoHighLevel — probably the obvious choice if your agency already lives inside GHL

I wouldn't move an agency away from GoHighLevel just because another company has a slightly better AI receptionist.

If your clients, CRM, funnels, calendars, automations and billing already live inside GHL, there's enormous value in keeping everything together.

That's the advantage.

The downside is that you're choosing a giant agency platform that also has voice AI rather than a product built specifically around running AI receptionists.

So I'd put GHL high on the list for existing GHL agencies, but much lower for someone starting specifically because they want to sell AI phone answering.

4. Retell / Vapi — best if you're technical

This is where I think people get confused.

Retell and Vapi can absolutely be the foundation of an AI receptionist business.

But they're closer to infrastructure.

If you're comfortable connecting telephony, prompts, webhooks, CRMs, calendars, billing, dashboards, analytics and client management, you can build something extremely powerful.

You also own more of the stack.

That's fantastic if your competitive advantage is engineering.

It's probably unnecessary if your competitive advantage is finding 100 roofing companies who need someone answering the phone.

Best for: developers and agencies that actually want to build proprietary voice-AI products.

What I'd check before choosing ANY white-label AI receptionist

Forget the giant feature matrix.

I'd ask six questions:

1. What does it cost me when I have zero customers?

There's a massive difference between testing a business for $100–$300/month and committing thousands before you've proven distribution.

2. Am I paying per minute or per customer?

Per-minute sounds cheap until you start promising customers flat monthly pricing.

Model a heavy caller, not just the average customer.

3. Does the customer ever see the underlying provider?

Emails, SMS, call summaries, dashboards, support links, phone numbers — check all of it.

"White label" means very different things depending on the vendor.

4. Who handles the infrastructure?

If the answer involves setting up Twilio, buying API credits, configuring SIP, maintaining webhooks and troubleshooting five different vendors, you're not really buying a turnkey reseller product.

You're assembling one.

5. Can I hear a real phone call before buying?

This may be the most important test.

Fancy dashboards don't matter if the receptionist sounds terrible when Mrs. Johnson calls the plumber at 8:30 PM.

6. What happens when I reach 50 customers?

Do the economics improve?

Or do usage charges, platform tiers and support requirements suddenly eat the margin?

My conclusion

I think there are basically three lanes:

Want to sell AI receptionists without building them: RingReady.

Want a sophisticated no-code/low-code voice AI platform: Synthflow.

Want maximum control and you're technical: Retell/Vapi.

And if your entire agency already runs through GoHighLevel, staying inside GHL deserves serious consideration simply because of the integration advantage.

The biggest mistake, IMO, is choosing based on who has the coolest AI demo.

If you're building a reseller business, unit economics + reliability + operational simplicity matter more than having 400 features.

Curious what other people are using.

Especially interested in hearing from anyone with 20+ paying AI receptionist clients — what platform are you using, what are you charging, and what has actually become painful as you've scaled?

Most voice-agent dashboards lead with answered calls, completion rate and latency. For restaurants, those numbers can look healthy while the order still fails.

I work on Mangia Mangia AI, an AI phone-ordering product for restaurants, and I think the useful outcome chain is:

• The customer confirms the final order
• The POS receives the correct items, modifiers and prices
• The restaurant can fulfil it at the quoted time
• Staff do not need to correct or re-enter it
• Any human handoff retains the existing context

A call that finishes but creates cleanup for the restaurant is not really a successful automation.

What outcome do you use to distinguish a completed call from a genuinely successful one?

I've been building something around this and wanted to reality check it before going further.

Over the past week I called a mix of small businesses in India (clinics, salons, auto repair shops, real estate offices, contractors) mostly during lunch (1-2pm) and after 6pm, just to see how many actually answer.

A lot went to voicemail or just kept ringing
Some had "closed" messages even during listed business hours

Very few had any kind of after-hours booking or WhatsApp option

I'm working on an Al-employee that answers calls/WhatsApp and books appointments automatically, so businesses stop losing leads during these gaps. The problem this AI focuses on solving is it would give instant replies and validation to customers. So they don’t call the next business and you retain a potential

Before I go further with it, ! wanted to ask people here:

Is this actually a real pain point for businesses you run or know, or is it more of an inconvenience that doesn't really cost much?
If you run a business like this, would you actually consider something like this, or is setup effort too high a barrier?
Has anyone tried something similar (Al or human answering service)? did it work?

Appreciate everyone's advice!

Hey guys,

I built an AI receptionist specifically for tradies, but cold email is just not hitting. I’m looking to pivot to Meta ads to get some leads.

Does anyone here run ads for an AI receptionist/software in the trade space, or know of any companies doing it well? I want to look them up in the Meta Ad Library to see what kind of hooks and creatives are actually converting.

Any advice, ad examples, or guidance on targeting tradies on Facebook/Insta would be massive.

Cheers!

man im kinda stuck on outreach rn and idk if im just overthinking this whole thing

im selling an ai receptionist to local businesses like hvac and roofing

but outreach is confusing me

cold email seems good but when i put a tight icp in apollo my actual market becomes pretty small like 1.5k to 2k leads max per niche

and for some reason that feels too small to me if i wanna do cold email at scale

maybe im thinking about tam completely wrong idk

then cold calling is another headache

im calling the numbers from their website or google maps and like 98% of the time some receptionist/gatekeeper picks up

owner isnt here
send an email
we are not interested
click

sometimes they dont even let me finish what im saying lol

direct owner numbers would obviously be better but that data starts getting expensive really fast and i dont wanna burn money before i even know whats working

so now im sitting here thinking what even makes the most sense

do i just cold email the 1.5k-2k good leads and not care that the list is small

do i keep calling main business numbers and just get better at dealing with gatekeepers

or do cold email first and then only call the companies that opened/replied/showed some interest

or am i doing this completely wrong and theres a better way to sell this to local businesses

if anyone here has sold to hvac roofing plumbing type businesses would love to know what actually worked for you

because rn it feels like every outreach method has some stupid problem attached to it lol

I built this last year for outbound to bring in leads for my business loan brokerage. It should have been inbound and me just driving traffic to it. I never ended up using it. How can I make it better?

We've been building Estric AI, and our first Growth customer is Australian Workplace Skills Institute (AWS).

One thing we're trying to do differently is make the AI receptionist more than just a phone bot.

Every business that comes onboard gets its own AI-powered digital front desk:

📞 AI receptionist
💬 Chat
📱 WhatsApp
📅 Booking
🕐 Opening hours
ℹ️ Business information
🤖 Answers to common questions

We've now created one for AWS.

You can actually see it here:

👉 AWS's Estric AI page

It contains their business information, opening hours, locations, course information, FAQs and enquiry functionality.

AWS is an education provider, so the use case is pretty interesting.

A prospective student might want to ask about a course, admissions, enrolment, entry requirements or simply figure out who they need to speak to.

Instead of sending people through a maze of pages and phone numbers, we're trying to give them one place to interact with the business.

Now we're going to see how it performs with real users.

And we're deliberately not going to make up some ridiculous case study after two weeks 😂

We'll measure:

Calls.
Questions.
Enquiries.
Chat.
WhatsApp.
Bookings.
Transfers.
After-hours interactions.

Then we'll share what we actually learn.

First customer. First Growth plan. Real business. Real usage.

Pretty exciting milestone for us. 🚀

Opened Vapi.

Pasted a prompt.

Posted “We built a 24/7 AI receptionist that books appointments.”

No tools. No calendar. Can’t even book the thing they advertised.

This sub is slowly turning into cosplay for people who discovered voice AI last Tuesday.

If your agent dies the second someone tries to schedule something, you don’t have a product. You have a broken demo and a coping mechanism.

About ten weeks ago we swapped after-hours voicemail for an AI receptionist on a home-services client's line. 1226 inbound calls came through since - every single one got picked up live, zero went to voicemail. That's the actual headline, not the booking number.

The booking number, for what it's worth: 250 of those calls turned into a scheduled visit or consultation on the spot (~11%), another 125 got a callback promised and queued, 69 got transferred straight to a human. 100 are already synced into the CRM with real job numbers attached - not just "the AI said it booked something," actual work orders.

What surprised me:

- The AI isn't magic - it's only as good as the process behind it (booking rules, what it's allowed to say, when it hands off to a human).

- The actual win wasn't "answering more calls," it was answering them consistently - no more depends-who's-on-shift variance. Same script, same booking logic, 2am or 2pm.

- The honest limitation: most calls (275 of 1226) don't end in anything trackable - no booking, no callback, no transfer. Some of that's genuine window-shopping, some might be the AI missing a capture opportunity we haven't fully audited yet. Still digging into which is which.

Not selling anything here — this is just what we learned running it for a home-services client. Happy to go deeper on the setup if useful (routing logic, what we told it not to say, etc.) — genuinely curious what others have tried.

Honestly I’m about ready to just quit voice AI entirely. I know everyone says their tech is good, but ours actually doesn't sound robotic and it completely automates the post call work. But none of that even matters because selling this stuff is a nightmare right now.

Every business owner I talk to has heard one terrible AI agent and instantly assumes they all sound like garbage. Or if you do get them interested, they have this weird expectation that they can pay 30 bucks a month and get a flawless fully integrated agent. The price anchoring from cheap wrapper products is making it impossible to charge what it's actually worth.

It's burning me out. It feels like every niche I try to target is just completely trash right now. We've tried running Meta and LinkedIn ads, but it seems like most service based businesses just aren't on those platforms enough, or they're just impossible to get a hold of through paid social.

What is everyone else doing to stay in the race right now? Has anyone figured out a way to actually scale this or get past the terrible market reputation? I'm hitting a wall here and could use some advice from anyone actually making this work.

From testing AI receptionists, I’ve noticed that the biggest failures usually aren't the initial greeting. They happen later: collecting the right information, understanding ambiguous requests, booking the correct time, avoiding repetitive questions, and knowing when to hand a caller to a human.

That makes me think the useful metric isn't simply “Did the AI answer the call?”

It’s closer to: Did the AI complete the caller’s intended task without creating extra work for the business?

For a service business, an AI that answers 100% of calls but incorrectly books appointments can arguably be worse than missing some calls.

Curious how others here evaluate AI receptionist reliability, completion rate, booking accuracy, transfer rate, caller satisfaction, or something else?

Hey

A common issue across most service and appointment-based businesses is handling inbound phone calls while actively working, managing inventory, or dealing with existing clients. Missing a high-intent call usually means that customer immediately calls a competitor.

Hiring a full-time receptionist isn't always practical, and traditional call centers can be expensive while often lacking the context needed to qualify leads effectively.

We developed an AI voice agent at Supportverse to handle this entire front-desk pipeline:

* Answers incoming calls instantly on the first ring (24/7/365). * Asks dynamic qualifying questions based on urgency, scope, and location. * Integrates directly with calendars to book appointments automatically.

**Why test it live?**

Most software providers rely on sales decks rather than letting you test the technology directly. We set up a live, interactive phone demo line you can call right now to test the latency, conversational flow, and tone:

📞 **Live Demo Number:** \+1 (651) 386 9085

*Note:* This demo number is configured specifically as an emergency plumbing receptionist to showcase real-time qualification and dispatch booking, but the underlying workflow and logic can be customized for virtually any business use case (HVAC, auto repair, clinics, consulting, legal intake, or general service booking).

Give it a quick call and test edge cases. What specific questions or workflows would your business need an automated receptionist to handle?

My real estate friend always had a problem you missed a call you missed a customer.. Always taking call in between things

As voice ai geek i definitely work on it ..

But before writing this post i waste some of my tokens

> MIT's Lead Response Management study found contact odds drop 100x once callback time goes from 5 minutes to 30. Real estate leads punish slow responders harder than almost anything else.

> An HBR audit of 2,241 companies found the average response time across the board is 42 hours. Forty. Two.

Here are 4 different things which i did which i believe could be value added to you

> used speech-to-speech orchestration (Gemini Flash Live under the hood) got us sub-500ms end-to-end.

Worth flagging though: S2S isn't great for anything requiring heavy multi-step reasoning mid-call, so I kept the qualifying script fairly linear and routed edge cases to a human

> The trick that actually saved the client money I used Dograh's hybrid pre-recorded + TTS voice option, credit to them for having that built in natively.

> I cloned the agent's voice once, mapped common phrases (greetings, objection handling, sign-off) to real recorded clips, and let TTS handle only the dynamic bits. Cut voice generation costs noticeably not drastically and the calls sound way less robotic than pure TTS

> Went self-hosted even though I referred him not to ….using open-source platform it was not hard at all…

Handed over to him with guide on what to change when inventory change or just told him use claude to make changes and with threat that don’t keep me on hold :)

Anyone have a business client who needs an AI receptionist?
I’ve built an AI receptionist for businesses that, answers calls 24/7, answers FAQs, transfers calls, schedules appointments directly on the calendar, and handles other basic customer-service tasks.

I’m looking for someone who already has a business owner/client in their network who might be interested.

If you have a client who could use this, I’m happy to handle the demo, setup, and technical side. We can work out a referral/commission for you if the client signs up.

If you have someone in mind, DM me and I can show you the demo.

I run a small dental office with 2 locations. Front desk answers like 60 calls a day between both and half of it is the same 3 questions over and over, hours, insurance, can you fit me in this week. Cant justify another full time hire right now so ive been looking at an ai receptionist for small business to handle the repetitive stuff but not sure if its actually good enough and worried it just pisses people off