What are your thoughts on selling AI receptionists to businesses like med spas or chiropractors?

#188 · Why AI Voice Agents (Usually) Suck.

What are your thoughts on selling AI receptionists to businesses like med spas or chiropractors?

AI receptionists are often positioned as a timesaver, but their real value is in closing deals and driving appointments. If a human receptionist costs $3,000/month and generates about $10,000/month in appointment value (10 appointments at $1,000 each), replacing them with an AI receptionist saves $2,900 in direct costs but reduces appointment conversion from 10 to about 7 due to a ~30% gap, generating only $7,000/month. The net effect is a $100/month loss. So switching to AI receptionists saves money but loses revenue, and the revenue loss usually outweighs the savings. Be careful replacing front‑end functions like receptionists, because they’re closest to revenue; only do it if the math makes sense.

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What's the use case for AI receptionists and voice agents? Could it be customer support for dental clinics, med spas, hair salons, local shops, etc.?

Voice agents make the most sense in low-lifetime-value situations. For a private equity firm making $5-10M per deal, a voice agent would be pissing away that value to save ~$100/call — pointless. But in a business where a visit is worth $30 and someone visits about 5 times ($150 LTV), the low LTV means it's worth saving time on the call. Hair salons make sense; after-hours plumbers can make sense. I wouldn't automate dental clinics or med spas — a dental implant can be $5,000 done in an hour, extremely high LTV, and you shouldn't risk even a 2% lower close rate on intake calls to save time. Customer support can make sense for low-cost products since the customer's already paid — you're optimizing experience on a smaller slice of that LTV, not risking the sale itself. Local shops just depend on their specific LTV.

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Recently sales of AI voice agents for med spas have declined because people aren't seeing good results. Should I keep selling AI voice agents or start selling customized AI automations alongside them? What would you do?

It's unfortunate that I don't have enough context to give a definitive answer. If you were earning $30k–$40k per month from voice agents and the decline is just a small, recent dip in your front-end offer (like conversion rate), I'd advise one approach. But if you're making little to no money and people are consistently saying no, I'd suggest something else. Ultimately, the key factor is your current revenue: if you're not making much money, any action is better than none—you need to do something to get cash flow. However, if you're already running a successful, scaling business and you observe a real market trend that people don't like voice agents, then it's worth considering a pivot to AI automations.

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The math seems off to me — voice agents cost way more than a human receptionist at high volume (500-1,000 calls). I don't think an AI receptionist is that great a trade, since it mostly just replaces the annoying 'press 1 for this, press 2 for that' Twilio-style menu experience, even though it does remember callers and is available 24/7.

That's actually a really interesting and nuanced way to think about using a voice system — using it specifically to replace the 'press 1 for this, press 2 for that' pre-qualification menu rather than trying to replace the receptionist outright. If you use voice agents in nuanced ways like that, yes, you'll get a better result and should use them. Most people don't do this though — most people just try to have a voice agent fully replace the receptionist, which is where it tends to underperform.

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How can I ensure an AI voice agent receptionist handles multiple requests reliably—do I need a queueing system?

Don’t use an AI voice agent for speed‑to‑lead calling. People feel disrespected or grossed out when they get an AI call right after submitting a form; the reaction is annoyance, not appreciation. Since form fills are directly convertible to money, annoying them lowers conversion probability. If your funnel represents every dollar you’ll make, cutting conversion by 20 % cuts revenue by 20 %. Voice agents perform worse than humans; you save on staffing but lose 20 % revenue. For example, staffing a setter cost $4 k/month and yielded $20 k, while switching to an AI voice agent dropped cost to $100/month but revenue fell to $5 k. The trade‑off is not worth it.

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