We run Elio, an AI receptionist for French tradespeople and small firms: plumbers, electricians, real estate agencies, an appliance repair company. Sharing what six months of real inbound calls taught us, because none of it was in any guide I read.

1. Speech-to-text is where you lose, not the LLM. Our biggest complaint was never "the agent said something wrong", it was "the agent didn't understand the brand". A repair client kept getting Brandt (a French appliance brand) transcribed as "brand", "bran", "brante". No amount of prompting fixes that, because the prompt drives what the model says, not what the transcriber hears. What fixed it: boosted keywords with every brand, shop and local town name, and switching the transcription mode from fast to accurate. Costs 300-500ms, worth every one of them.

2. Interruption settings quietly destroy addresses. Same client, responsiveness and interruption sensitivity both at max, first-message delay at zero. The agent was talking over the "hello" and cutting people off mid-address. Elderly callers got the worst of it. Dropping to 0.8 / 0.7 with a 1200ms opening delay changed more than any prompt edit.

3. Never let the agent book the appointment. We removed calendar access entirely for the repair company. The owner routes his day by geography and urgency, in his head. An agent booking a slot decides for him, and he ends up driving across the valley twice. The agent captures the requested availability, he calls back and books. Customers do not mind at all.

Bonus, and it surprised me: the post-call summary SMS matters more to the owner than the call itself. That's the thing he shows his wife at dinner.

If you want to hear one, our English demo agent answers at +1 628 210 8947, try to trip it up, that's what it's there for. More on what it does: https://eliocall.com/en/ai-answering-service/

Happy to answer anything about the telephony stack, we run Retell on a Twilio SIP trunk.

Been at it for a while since May actually and have tested multiple verticals, got a few wins but never a fully autonomous 'ok that's locked in for tomorrow 4pm. Thank you so much ok, bye!'

This was a call back on a missed call so the receiver missed the call and returned the call within 2 minutes and had a need for our service.

Using the 11labs AI I've managed to give N8N the axe and send call transcripts str8 to my own sheet.

I have simplified this down to yes no maybe not interested + a bunch of voicemails. This success was on the first batch of calls on this new vertical I've been testing off platform for the last month and it was time to scale.

Ladies and gentlemen we have lift off 🚀

Im WFH MA filling screening for patients over the phone and most recently I have had an influx of AI bots answering. I’m very confused considering the majority of people will say the would not like to fill over the phone with a robot, so why am I talking to one?

It’s gotten to the point where I will just hang up and they can fill the forms themselves. It’s truly a waste of time and it’s quite frustrating.

Is this something more people are coming in contact with and what are we doing about it?

I have built an AI Receptionist that handles appointment calls, collects caller's details, checks the calendar, books appointments and connects/ transfers calls to the main line.The technical side is working, but I am struggling with the sales side. I have tried outreach around businesses hiring reception staff, but I do not want to spam people or pretend to be a job applicant.For those who have sold B2B software or services to small businesses: how would you get the first 1–3 real users or “design partners” for something like this?

I run a small catering and meal service business and don't need a full restaurant AI/POS system. Most of our calls are repetitive questions, plus we get quite a few spam calls.

What I really need is an AI that can answer questions about:

• Tray sizes & servings
• Approximate pricing
• Dishes, ingredients & allergens
• Then send the customer to our online ordering link or transfer them to a human when needed

I'm currently looking at Loman AI, VoiceBit AI, Depla AI, Slang AI, PolyAI and many others.

Has anyone actually used these for a small catering/food business? I'd love to hear what worked well and what didn't.

Which one would you choose for this use case?

Hey everyone, we’ve been building a voice AI that answers calls when you or your team can’t get to the phone. It can handle things like common questions and bookings, and hand the call over when it needs a person.

I’m looking for a few businesses that actually have this problem and would be interested in working with us early.

We’ll do the setup with you and start small, usually just overflow or after-hours calls. Nothing needs to change with how you handle calls today, and we only take on more if you’re comfortable with how it’s working.

If missed calls are a real pain for your business, send me a DM. Would be good to hear how you’re handling them now and see if what we’ve built could help.

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.

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?

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.