27% of SMB calls go to voicemail. 85% of those callers don't leave a message, and 67% never call back. For a practice with 200 calls/month and an average new-patient value of $500, that's $186,000 in annual missed revenue. Here's the math on why AI covers that gap for under $500/year.

Traditional Front Desk Cost

Full-time front-desk coordinator:

Salary: $35,000/year
Benefits: $10,500/year (30%)
Total: $45,500/year

Part-time front-desk coverage (20 hours/week):

Hourly: $18/hour
Annual: $18,720/year

Neither option covers:

Nights and weekends
Sick days
Vacation
Lunch breaks

AI Front Desk Cost (Ours)

Per-minute pricing:

AI processing: $0.04/min (Claude API + Deepgram)
Twilio phone: $0.013/min
Infrastructure: $0.01/min (Vercel, database)
Total: $0.063/min ≈ $3.78/hour

Monthly cost for average SMB:

Calls: 200/month
Avg duration: 3 minutes
Total minutes: 600/month
Monthly cost: $37.80
Annual cost: $453.60

The Math

AI front desk coverage costs 1% of a full-time employee.

Even if call volume 10x'd (2,000 calls/month), you'd pay $4,536/year—still 10% of an FTE.

Missed Call Economics

Industry stats:

27% of SMB calls go to voicemail
85% of voicemail callers don't leave a message
67% of those callers don't call back

If you get 200 calls/month:

54 go to voicemail
46 don't leave a message
31 never call back

That's 31 lost opportunities per month.

If your average customer value is $500:

Lost revenue: $15,500/month
Lost revenue: $186,000/year

Paying $450/year to capture those calls is a 41,233% ROI.

Why This Works Now

Five years ago, this didn't make sense:

| Cost Component | 2019 | 2025 | Change | |---|---|---|---| | LLM API | N/A | $0.03/min | New | | Voice Recognition | $0.25/min | $0.006/min | -98% | | Voice Synthesis | $0.20/min | $0.004/min | -98% | | Phone (Twilio) | $0.013/min | $0.013/min | Flat |

Total 2019 equivalent: ~$0.48/min Total 2025: $0.063/min

A 87% cost reduction in 5 years.

The Non-Obvious Benefits

Beyond cost, AI front desk systems provide:

1. Perfect Memory

Every call is transcribed, searchable, and analyzable. You can look back at any conversation, see what callers asked most, and spot patterns your team would never catch manually.

2. Instant Scaling

Black Friday? Product launch? No problem. AI handles 1 call and 1,000 calls the same way.

3. Consistency

Human teams have off hours and capacity limits. AI doesn't.

4. 24/7 Coverage

After-hours calls become revenue opportunities, not missed chances.

When AI Doesn't Make Sense

High-touch industries: If your business requires extensive relationship-building on first contact (e.g., luxury real estate, high-end legal), keep the human.

Complex routing: If calls require 10+ custom rules and frequent changes, humans are more flexible.

Low call volume: If you get fewer than 10 calls/month, just answer the phone yourself.

The Wedge

We're not trying to replace every front-desk team. We're targeting:

Practices with no dedicated after-hours coverage (can't justify another full-time salary)
Overflow/after-hours (let humans handle in-office traffic, AI handles the rest)
Scaling practices (doubling call volume shouldn't mean missed patients)

Our Unit Economics

For transparency, here's what it costs us to run Velyn Dental:

Per customer/month (average):

Revenue: $99/month
COGS (AI + phone): $38/month
Gross margin: 62%

Customer acquisition:

CAC: $250 (mostly ads)
LTV: $1,188 (12-month avg retention)
LTV:CAC = 4.75

The Future

As LLM costs continue falling (they've dropped 90% in 2 years), this only gets better.

Our prediction: By 2027, AI front desk costs will be under $0.01/minute.

At that point, the question isn't "Can I afford AI?" It's "How did I ever afford not to use AI?"

Want to see the economics in action? Join Velyn Dental early access.