Hire a VA, a receptionist, or software? VA vs AI receptionist vs AI inquiry handler: what each actually does with an inquiry

Choose between a VA, a receptionist service, an AI receptionist and an AI inquiry handler by what each does after the first reply, not by the hourly price. The headline figure is 26%. In Five9's 2026 survey of 3,000 consumers, 26% trusted AI to resolve an issue when no human path existed. With a human path, 55% did¹. Price comparisons ignore that gap. The rest of this page measures each option on the steps that decide a booking: coverage, follow-up, handoff and accountability.

Why is the hourly-rate comparison incomplete?#

The usual comparison puts four prices side by side. A VA on Upwork has a median rate of $13 an hour, with a typical range of $10 to $20³. A full-time receptionist has a median wage of $18.27 an hour, $38,010 a year, before benefits⁴. Smith.ai's human receptionist Starter plan is $300 a month for 30 calls⁵. AI phone agents such as Goodcall list $79 to $249 per agent per month¹⁵.

Those numbers are accurate. They answer the wrong question. Each one prices an input: an hour, a call, a seat. None prices what happens to an inquiry after hello.

The base rate for that is poor across the market. Pied Piper's 2026 mystery-shop study sent 3,211 inquiries to home-services businesses. 72% received no follow-up at all. 28% were offered a time¹³. Those businesses had people answering. The loss happened later.

So the comparison needs a different denominator. Not cost per hour. Cost per inquiry that reached a booked time or an honest "the owner will reply by Tuesday".

What does each option actually do with an inquiry?#

Each option handles a different slice of the inquiry's life, and the slices that are missing are where bookings go. The table maps four options against five steps. It uses vendor pages where they exist and reviews only to show a failure mode, not a rate.

The 56% figure comes from dealership service calls, 2,105 dealerships plus 200 independents, and may not transfer to other trades. Review quotes are single accounts, not rates.

The virtual assistant: good judgement, limited hours#

A VA is the only option that can read a strange email and make a sensible call. That is the case for one. The limit is coverage. A VA at 10 hours a week and $20 an hour costs $10,400 a year and covers 10 of the 168 hours in a week. The arrangement sole practitioners described on AccountingWEB in January 2022 was a person who would "read my emails" and contact the owner about anything urgent¹⁴. It works. It also makes the VA the only memory of what was promised.

The human receptionist service: phone first, per call#

A human receptionist service answers the phone, takes details and can book. Smith.ai's Starter plan is $10 a call, with booking at $1.50 and a text or email follow-up at $0.50 per call⁵. The failure mode in reviews is instructions. One Trustpilot reviewer in April 2023 wrote that receptionists were "scheduling telephone consults without offering in-person or virtual options"⁶. The same Trustpilot page shows 89% of Smith.ai's reviews at five stars and 7% at one star, so treat this as one account.

The AI receptionist: always on, weakest at the handoff#

An AI receptionist answers calls at any hour for a flat or per-call fee. The measured weak point is the transfer. Pied Piper's 2025 service-telephone study found 56% of AI-to-human transfers failed, while AI-only calls scored higher than human-only calls². Reviews of Smith.ai's AI receptionist on G2 (4.8 out of 5, 32 reviews) include a law practice in August 2026: "At times it will not transfer the calls to the office."⁷ The tool can be good. The handoff is where the customer meets the gap.

The AI inquiry handler: written channels, rules and caps#

An AI inquiry handler is software that answers written inquiries from the owner's facts, offers and holds real times, follows up a limited number of times, and sends anything outside its rules to the owner. It does not answer calls. Its risk is the same as any AI: a wrong answer sent at 2 a.m. The controls that limit that risk are a closed facts sheet, topic rules and a record of every reply.

A fifth pattern sits beside these: AI that drafts but never sends. HoneyBook's AI Composer "does not auto-send. Users must review and manually send each suggested response"¹¹. One Hacker News user of a drafting tool reported sending "about 50% of the drafts without editing" (November 2024)¹². Drafts save typing. The owner is still the follow-up system.

What explains the trust gap, and what else could?#

The 55% versus 26% gap¹ has one plain reading: people accept a machine when they can still reach a person. Five9's 2025 survey of 1,006 consumers points the same way. 72% were open to AI interactions "provided they can escalate to a human when needed", and 40% would stop doing business after one bad experience⁸.

Competing explanations deserve space. First, selection bias. People who reached a human path may have had easier problems. Second, channel. Five9 asks about customer service broadly; a pre-sale inquiry to a photographer is lower stakes than a billing dispute. Third, sample. The 2026 figures come from a secondary summary of 3,000 consumers in the US, UK and Germany¹, not from the full report.

Owner forums echo the finding, with their own bias. A September 2026 r/PickAorB thread about an HVAC company that lost a job after switching to an AI receptionist drew 1.3K+ comments; one reply said the writer would be "happier to reach the contractor's voicemail"⁹. A thread in r/Entrepreneur (210+ comments, September 2026) has a top answer that people are "increasingly frustrated interacting with AI when they expect a human"¹⁰. Viral threads over-represent bad outcomes. They still show where the anger lands: on the trap, not the tool.

Methodology and limits#

This comparison uses public vendor pages retrieved on 1 October 2026, two consumer surveys, one industry mystery-shop study, and dated reviews. No Valet customer data is used, because Valet has none to publish yet.

• Denominators. Five9 2026: 3,000 consumers (secondary summary). Five9 2025: 1,006 consumers, US, UK and Canada. Pied Piper 2025: 2,105 dealerships plus 200 independents. Pied Piper 2026: 3,211 home-services inquiries.
• Reviews. Single accounts show that a failure happens. They do not show how often.
• Prices. VA rates are marketplace medians, not quotes. Receptionist wages exclude benefits and payroll taxes.
• Missing data. No public study we found measures follow-up rates by option for written inquiries. Valet could run that comparison on forwarded inquiries, but no such dataset exists yet.

The decision matrix: which option fits your inquiries?#

The matrix below turns the five steps into four questions you can answer about your own business. The design principle is the trust gap: whichever option you choose, a customer must be able to reach you, and must be told when.

Score each option for your business; prices as listed in October 2026

Question	Virtual assistant	Human receptionist service	AI receptionist (voice)	AI inquiry handler (written)
Coverage: which hours are answered?	Paid hours (e.g. 10 h of 168)	Listed 24/7 (Smith.ai)	Any hour	Any hour
Cost per booking: what moves the bill?	Hours, booked or not; $13/h median	Calls, booked or not; $10/call base	Seat or calls; e.g. $79–249/agent/mo	Varies; some price per outcome
Accountability: can you see what was said and why?	Only what the VA reports	Call summaries, recordings at extra cost	Transcripts, if provided	Ask for a record of each reply and its sources
Handoff: what happens when it can't answer?	Judgement; depends on the person	Message or transfer	Transfer; the weak point in the data	Rule-based; customer told when you will reply
Follow-up: who chases a quiet lead?	The VA, if tasked	One message, paid per call	Rarely documented	Built in; check the cap
Exit: how do you cancel?	Notice per your agreement	Smith.ai: month to month	Check term and trial terms	Check term and trial terms
Fits best when	Inquiries need judgement and arrive in office hours	Most leads call	Most leads call, out of hours	Most leads write

One step applies to all four. Whatever you write for a VA or a receptionist should be a facts sheet, not a letter of instructions: prices, packages, availability rules and the list of topics that come to you. The same sheet then serves a person or software. A template is in FAQ page vs facts sheet; the full cost comparison, with a calculator, is in what it costs to answer one inquiry.

What would change this conclusion?#

The conclusion is "choose by follow-up and handoff, not by hourly price". Three findings would weaken it. If your inquiries mostly arrive by phone, a voice option wins on channel alone. If your booking rate is already high and follow-up rarely matters, the cheapest coverage wins. And if a future study shows customers trust AI equally with or without a human path, the handoff column matters less. On today's data, 26% versus 55%¹, it matters most. For handoff design specifically, see what "never stuck with a bot" has to mean.

Where Valet fits#

Valet is an AI inquiry handler for written inquiries: email, website contact forms, listing and marketplace lead emails, and requests on your free Valet page. It answers only from your facts, offers real times from your calendar and books them, and follows up at most twice by default. Money, complaints, contracts and anything not on your sheet go to you with one-tap replies, and the customer is told when you will reply. Each reply says it is AI and has a Valet receipt. It does not answer phone calls. To compare against your current setup, start with the free lead check: forward 10 to 20 recent inquiries and see what went unanswered or stopped after one reply.