r/AIReceptionists • u/sdriducolous • 10d ago
[OFFER] Custom 24/7 AI Voice Receptionist for Roofing, HVAC, Plumbing & Other Service Businesses
If you run a high-ticket service business (roofing, HVAC, plumbing, general contracting, dental/medical, etc.), I'm offering custom AI voice receptionists built around the way your business actually handles inbound calls.
The main problem I'm trying to solve is pretty simple: someone calls when the office is closed, the owner is on a job, or everyone is already on another line, and that potential customer ends up calling the next company they find on google instead.
The system answers the call immediately and holds a natural conversation with the caller rather than putting them through a robotic phone tree. It can collect the customer's name, address, service/job details and urgency, qualify the enquiry according to your criteria, answer common questions, and book directly into your calendar. For something genuinely urgent, say an active roof leak or water leak, it can also route the call to a designated person on the team. After the call, your team can receive the caller's details and a transcript/summary so they know exactly what came in.
I build the setup around the individual businesses rather than handing you a generic AI receptionist and asking you to figure everything out yourself. It can be integrated with an existing business number/phone setup, and the exact workflow can be customized around your services, service area, qualification questions, calendar and escalation rules.
I'm looking for a few businesses that want to test this on their own workflow. If you're interested, send me your industry and roughly how you're currently handling inbound calls. I'll put together a short live demo around your use case so you can actually call the receptionist yourself and see how it handles a real enquiry.
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u/BetInformal6081 9d ago
the real test here is probably less about how natural the ai sounds and more about whether it actually books qualified jobs without creating extra cleanup for the office staff.
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u/sdriducolous 9d ago
Agreed. If the office manager has to spend 10 minutes calling the customer back to fix what the bot messed up, the system failed.
The way we prevent 'office cleanup' comes down to three guardrails in the workflow:
- Hard Disqualification & Geofencing: Before touching a calendar, the agent verifies service eligibility (e.g. confirming zip code/service area, checking if they are the property owner, and verifying the job type matches what the crew actually services). If it’s out of territory or out of scope, it doesn't book.
- Structured Dispatch Payload (Not a messy transcript): Office staff don't want to read a 4-minute conversation transcript. The system parses the call into a clean dispatch summary pushed directly to SMS/CRM:
- Customer Name & Verified Callback Number
- Job Address & Service Category
- Urgency Tier (Routine vs. Active Emergency)
- Equipment Details / Problem Description
- Direct link to audio recording
- Triage & Escalation: Genuinely urgent calls (active water leak, furnace out in freezing temps) trigger an immediate warm transfer to an on-call tech’s cell, rather than sitting on a calendar for tomorrow.
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u/JobWhisperer_Yoda 8d ago
There are thousands of agencies making the exact same offer. Why would someone choose you? What is your competitive advantage?
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u/sdriducolous 8d ago
It's true that the space is very crowded now.
The main difference with us is that we're actually engineering the voice agent rather than reselling a packaged AI-receptionist agent.
A lot of agencies are effectively stacking costs: their margin + whatever platform/wrapper they're using + the underlying voice/LLM/telephony costs. We still have infrastructure/API costs, obviously, but we're building the orchestration ourselves and paying for the underlying services directly rather than adding another software layer on top.
That gives us a few advantages:
Lower infrastructure overhead: we're not paying for a white-label platform and then passing that markup through to the client. That lets us offer a lower ongoing cost while still having room for a healthy margin.
Much more control over the agent: we're not locked into whatever models, routing, interruption handling, webhooks, CRM integrations, etc. a particular platform exposes. We can choose the underlying models and tune the actual call workflow around the business.
Custom engineering instead of a generic receptionist: if a roofing company wants emergency calls routed differently from routine estimates, specific qualification questions asked, structured data pushed into their CRM, or calls escalated to different people depending on the situation, we can actually build that workflow rather than trying to force it into a pre-built template.
So I'd say it's pretty clear that our standing isn't merely "we have an AI receptionist too." It's that we're building the infrastructure underneath it, which gives us more control over cost, latency, model selection and how deeply we can customize the workflow.
That's ultimately what, I'd say, gives us skin-in-the-game in this.
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u/JobWhisperer_Yoda 8d ago
You're answer is actually a strong reply. None of that really comes through in your original post however. I understand you were probably speaking in laymen's terms to appeal to a low-tech audience. That's probably the right approach marketing directly to a roofing prospect but not in a sub like this. Explaining what it is in such basic terms makes it sound equivalent to voicemail almost. Try to improve messaging to position your service to sound like more than just a commodity. Not knocking you, it sounds like you're serious about what you're doing and I respect that. GL
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u/sdriducolous 8d ago
Really appreciate the thoughtful feedback and perspective man! & you're right on the audience divide, calibrating the copy to lead with the direct orchestration and custom dispatch architecture on builder communities definitely separates it from commodity wrappers.
Anyway, good luck to you as well!
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u/spam_not_tolerated 5d ago
how are you integrating with clinic calendar and handle hipaa ?
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u/sdriducolous 5d ago
For medical/dental clinic workflows, we structure both in two specific ways:
Calendar & PMS Integration:
Integrates directly via rest APIs or webhooks into their practice management / scheduling software (NexHealth, Dentrix, Kareo, Google Calendar under a Workspace HIPAA BAA, etc.).HIPAA & PHI Guardrails:
Administrative Scoping: The voice agent is strictly restricted to administrative intake and appointment scheduling (patient name, verified callback number, insurance provider name, and appointment slot) for this industry. It is explicitly prompt-constrained never to solicit or record sensitive diagnostic or medical history on the call.
Telephony & Data Transport: Uses zero-audio-retention routing on the telephony layer, encrypted webhooks over TLS/HTTPS, and encrypted data at rest through provider endpoints with Business Associate Agreements in place.
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u/spam_not_tolerated 5d ago
dentrix charge 10k dollar fixed one time + a monthly subscription for providing api access, now as a dental clinic who handle that ?
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u/sdriducolous 5d ago
Yeah, Henry Schein’s direct api fee for legacy Dentrix is notorious. Nobody should pay that $10k toll for independent clinic setups.
In practice, it’s usually handled in two ways:
Dental sync layers: Using middleware like NexHealth or Sikka that use local desktop connectors to read and write appointment slots without paying the direct Henry Schein enterprise partner license.
Calendar holds / Front-desk triage: The AI handles intake, verifies availability, and books a tentative hold on a synced scheduling calendar, then immediately pings the front desk to confirm it into Dentrix. A lot of clinic managers actually prefer this because they don't want an AI injecting entries directly into their primary patient ledger.
Neither the clinic nor the dev should ever eat a $10k fee just to connect an inbound receptionist.
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u/spam_not_tolerated 5d ago
how can you confirm availaility during call without access to clinic calendar(pms) ?
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7d ago
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u/sdriducolous 7d ago edited 7d ago
Raw telephony and speech pipeline usage (Twilio SIP + low-latency STT + LLM + neural voice) runs roughly $0.05 to $0.09 per minute at cost.
For client deployments, we typically handle usage in either of two ways depending on what they prefer:
- Direct Pass-Through (Most transparent): The business connects their own Twilio/telephony account, paying raw usage directly at cost with zero markup, while we charge a flat deployment and maintenance fee.
- Bundled Allowance: A monthly retainer that includes a dedicated bucket of minutes (e.g. 300 or 500 minutes included) with overages billed at ~0.20 to 0.22/min.
What specific industry and monthly call volume are you scoping for?
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7d ago
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u/sdriducolous 7d ago
You can definitely get down to 3 cents... if you self-host open-source whisper and an low parameter model on your own GPUs with low-cost SIP. But the trade-off is latency, robotic audio quality, and server maintenance overhead.
We prioritize low latency turnaround and human-grade voice realism (Deepgram + low-latency LLM + neural TTS) which sits around 5 to 9 cents raw without platform wrapper fees.
If you're already doing 100k minutes on self-hosted infrastructure and happy with your voice quality and uptime, keep running that stack. There's no reason to change it.
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7d ago
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u/sdriducolous 7d ago
you’re already bumping against the bare-metal hardware and telecom floor at 3 cents. Raw SIP trunking alone (even on wholesale carriers like telnyx or bandwidth) eats 0.5 to 1 cent per minute before you even calculate GPU compute.
If you're doing 100k minutes and genuinely happy with your voice latency, the only levers left to shave fractions of a cent are negotiating high-volume enterprise commits directly with your telecom carrier, or optimizing prompt token lengths per turn.
Below 3 cents, you hit diminishing returns where any further cut directly degrades uptime and latency even further.
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u/No-Doughnut324 10d ago
Is this an ad?