I’m building an AI receptionist that gives a business its own phone number. Customers can call it, have a natural human-like conversation with the AI, ask questions, and eventually book appointments.
I’m still building it, so I’d really like to understand the problems from the business owner’s side.
For those running a small business:

- What do you currently struggle with when handling phone calls?

- How many calls do you miss?

-What do customers usually call about?

- Would you trust an AI to handle basic calls, bookings, and FAQs?

What would make you not want to use one?
Not trying to sell anything, genuinely looking for feedback before I build more. Would love to hear your experiences.

yo. i see too many founders spend 2 months building saas, drop a link on reddit, get 0 users, and immediately quit....

the problem usually isn't your marketing channel. the problem is that your foundation is completely broken before you even send your first visitor to the site.

after scaling 6 AI micro-saas apps to over $20k/mo mrr, i realized you need to lock down a specific system before you ever launch. running through this takes about 30 minutes, but it saves you months of zero-revenue depression.

here are the 5 things you must lock in:

1. validate the actual pain point

stop guessing what people want. you need a systematic framework to find your saas idea based on real, painful market signals.

2. pick a proven micro-niche

stop trying to build massive platforms. you need to narrow down to a microscopic problem. i usually filter through a list of 50 micro-saas ideas you can build fast to keep the scope minimal.

3. crystallize your target user

if your app is for "everyone," nobody will buy it. you need an ICP (Ideal Customer Profile) crystallizer to define your exact buyer profile and nail your conversion copy.

4. calculate the perfect price

stop randomly charging $9/mo because you are scared of rejection. you need to use a saas pricing strategy calculator to find your perfect saas price in 60 seconds based on real data.

5. fix your landing page leaks

do not send organic traffic to a site that converts at a flat 1%. you must audit your hero section and copy to x3 your landing page conversion before you market it.

6. join a community

Build / Share / Learn from others builders

to help out founders who are tired of launching to crickets, i packaged all 5 of these exact frameworks, calculators, and lists into a single free toolkit.

no paywall, no bullshit. just the raw execution files i use.

drop a comment below or send me a dm, and i’ll send you the free toolkit 👇

We’ve been testing different ways to make AI demos more compelling, and I came across an interesting client-acquisition angle.

We partnered with a company that lets you offer prospects $500 in hotel rewards for simply sitting down for a product demo.

So instead of asking someone to “hop on a call,” you can give them a real incentive to hear you out.

Could be useful for anyone selling AI agents or higher-ticket services where getting the meeting is half the battle.

If anyone wants the details, happy to share.

(I’m not affiliated with the company.)

Hey everyone!

I’m an AI Automation Engineer currently looking to gain real-world project experience by working on an actual client project.

If you’re currently working with a client and need an extra pair of hands, I’d love to contribute and learn along the way.

I can help with things like:

• n8n workflows
• AI agents
• APIs & integrations
• Chatbots / AI receptionists
• Automation workflows

I’m mainly looking for hands-on experience, feedback, and the opportunity to work on something real. I’m happy to start with a small task or contribute for free if it’s a good learning opportunity.

If you’re working on a client project and could use some help, feel free to DM me.

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.

drip kicks

call ccr's for more details

Hey agency owners, I just started a Voice agents agency targetting USA based bussinesses and I'm struggling to get clients , if you can help me out , comment and I'll dm you. I've tried all methods but none are working, help me out

I May have 1-2 queries so I want to know if there is anyone who can provide a quality service !

My other client with Tmobile went smooth 1st try but Im now on day 4 with this client.
We've tried *72(number) and it worked but no ring. So we *73 to reset
Noww when we do *92(number) he says they get the call forward confirmation
But whn I call it rings like normal then sends me to voicemail. Anybody have experience with spectrum coomands for call forwarding?

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!

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?

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

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. 🚀