The question most small business owners ask is: how much does an AI receptionist cost? The right question is: how much does a human receptionist cost, and what does the AI alternative actually include?
We will work through both sides of the comparison. The numbers are real cost ranges from 2024 and 2025 data, not marketing estimates.
What a human receptionist actually costs
The Bureau of Labor Statistics puts the median annual salary for receptionists at $33,960 in 2024, with the range running from $25,000 at the low end to $50,000+ in high-cost cities. But salary is only part of the cost.
Add employer payroll taxes (7.65%), health benefits ($6,000–$8,000/year for single coverage), paid time off (15–20 days), and hiring costs ($3,000–$7,000 in recruiter fees or job board spend) and the true annual cost of a full-time receptionist runs $45,000–$65,000.
And that gets you coverage from roughly 8 AM to 5 PM, Monday through Friday. Evenings, weekends, and public holidays are not covered. Calls during lunch, during staff meetings, or when your receptionist is on a call go to voicemail — or are missed entirely.
What an AI receptionist costs
AI receptionist pricing varies significantly by provider and use case. The three main pricing models are: per-minute call charges, monthly flat-rate subscriptions, and custom enterprise pricing.
Per-minute models (VAPI, Retell AI, Bland AI) typically run $0.05–$0.15 per minute of call time. For a business taking 200 calls per month averaging 3 minutes each, that is $30–$90 per month — or $360–$1,080 per year in API costs, plus the build and maintenance cost of the AI system itself.
A fully built, custom AI receptionist system — including the voice agent, calendar integration, CRM integration, and custom intake script — typically costs $10,000–$30,000 to build (one-time), plus $200–$600 per month in ongoing infrastructure and API costs. That is a payback period of well under one year against a human hire.
Capability comparison: what each option can and cannot do
A human receptionist handles complex, ambiguous situations better. When a caller is upset, confused, or has a unique request that falls outside the usual script, a good receptionist adapts. They also notice things an AI cannot — tone shifts, caller distress, things said off-script.
An AI receptionist wins on availability (24/7), consistency (same script every time, no bad days), scalability (handles 100 simultaneous calls with no degradation), and cost (significantly cheaper at scale). It also produces a written transcript of every call automatically, which most human receptionists do not.
For most businesses, 60–80% of inbound calls are routine: booking appointments, checking hours, asking for directions, requesting callbacks. The AI handles all of these reliably. The remaining 20–40% that are complex, emotionally charged, or unusual can escalate to a human — either a part-time receptionist or the business owner.
When to use an AI receptionist vs a human
Choose an AI receptionist if: you have predictable, repetitive inbound calls; you need after-hours coverage; you want every call answered (not 30–40% going to voicemail); or you are spending $40,000+ per year on front desk staff for a role that is primarily call-answering.
Keep a human receptionist if: your calls are frequently complex or emotionally sensitive; your business requires significant in-person coordination; or your volume is low enough that the build cost does not make financial sense (fewer than 50 calls per month).
The most common outcome is a hybrid: an AI that handles 24/7 inbound and routine calls, plus a part-time human who handles complex cases, in-person coordination, and the administrative work the AI cannot do. This is usually cheaper than a full-time receptionist and more capable.