AI receptionist complaints in owners' and customers' own words: cost per call, and why written inquiries are the safer place to start

The complaints about AI receptionists cluster around one failure: the moment the call needs a person, and the system cannot produce one. A G2 reviewer of Smith.ai's AI receptionist, writing from a law practice in August 2026, put it in nine words: "At times it will not transfer the calls to the office."¹ Human answering still costs about $10 a call in 2026.⁶ This article sets out what owners and callers report, what each option costs per call and per booking, and why a business whose customers write, rather than call, has a lower-risk place to begin.

What are the most common AI receptionist complaints?#

The most common AI receptionist complaints concern handoff, repetition and inconsistency, and they come from paying owners as well as from callers. The record below draws on dated reviews and public threads; none of it is vendor marketing.

Owners on G2 rate Smith.ai's AI receptionist 4.8 out of 5 across 32 reviews, and the praise is real: round-the-clock coverage and spam filtering. The criticisms are narrower and repeat. An owner wrote in October 2025 that the AI "would ask the caller for all their info and then transfer them to a live person...AND they would ask for all the same info again. That annoyed prospects for sure." A construction firm wrote in September 2025: "I wish that the summary were consistent some are very detailed and some are not."¹

Callers describe the same failure from the other side. On Hacker News in March 2026, a commenter explained why he dropped a contractor on a five-figure remodel: the contractor's AI receptionist "couldn't understand my address and therefore could not schedule the appointment," and "it couldn't forward to me to human."² Another commenter in that thread wrote that he "would rather just be sent to a regular old answering machine."³

The pattern holds on Reddit, where the evidence is snippet-grade and should be read as tone rather than measurement. A thread in r/PickAorB (1.3K+ comments, September 2026) about an HVAC company that lost a large job after switching to an AI receptionist drew the line "I would literally be happier to reach the contractor's voicemail." A dental practice owner in r/Dentists (September 2026), after reading 15 months of failed calls, summarised a typical one as: "AI said it would do it, then couldn't, and took a message."

Home-services buyers say it in plainer terms. In a Jobber Community thread from August 2026, a customer reported that four cleaning companies using AI intake lost his business because responses took five weeks or more, or never came.¹³

Complaint to missing control: the review-mining table#

Each complaint maps to a control that was absent or left on its default setting. Read the right-hand column as the question to put to any vendor.

How often do AI-to-human handoffs fail?#

The best published measurement of AI-to-human phone handoffs comes from car dealerships, and it is unflattering. Pied Piper's 2025 Service Telephone Effectiveness study, covering 2,105 dealerships and 200 independent shops, found that 56% of AI-to-human transfers failed. Calls fully handled by AI scored 72 on the study's effectiveness scale against 64 for humans, while calls that moved from AI to a person scored 50.⁵

The study's author said it directly: "AI now often outperforms human staff on service calls, but handoffs to people frequently fall apart."⁵ The finding matters for a small business because the handoff is where the valuable calls go. Routine questions stay with the AI; the quote, the complaint and the urgent job are the ones that need a person.

The scope limit should be stated plainly. This is automotive service, not weddings, consulting or trades. It is the strongest dated figure available, and its direction matches every owner review above.

Customers, for their part, do not object to AI on principle. Five9's 2025 survey of 1,006 consumers found 72% open to AI when they can escalate to a human.¹² The condition is the escalation, which is the control the complaints say is failing.

What does a receptionist cost per call in 2026?#

Receptionist pricing in 2026 runs on three different units: per call, per minute, and flat per agent. Comparing them requires converting each to the unit an owner cares about, which is cost per booking.

Ruby figures are a competitor's report and should be checked against a current quote. Smith.ai's own page describes its human plans as "month-to-month."⁶

From cost per call to cost per booking#

Cost per booking is cost per call divided by the share of calls that book. That share varies by trade, and no figure in this article should replace your own.

The comparison an owner should run is not "AI versus human per call." It is the cost of answering plus the value of the bookings lost in a failed handoff. The HVAC thread, the five-figure remodel and the £3,900 price match each describe a single call worth more than several months of answering fees.²⁴

Who is liable when an AI receptionist says the wrong thing?#

The business that deploys an AI agent should assume it is answerable for what the agent tells a customer. That is the working lesson of Moffatt v. Air Canada (2024 BCCRT 149), in which British Columbia's Civil Resolution Tribunal rejected the airline's argument that its chatbot was "a separate legal entity that is responsible for its own actions" and ordered CAD $812.02 in damages and fees.¹⁰

Three qualifications apply. The ruling is a Canadian small-claims tribunal decision, not appellate authority. It concerned a written chatbot, not a voice agent. And no published case we found holds a small business to a statement by its AI receptionist. None of these qualifications creates a safe harbor; the principle in Moffatt does not depend on the size of the business or the channel.

Disclosure law is moving at the state level. A July 2026 state guide from beancount.io reports that Colorado (HB 26-1263), Oregon (SB 1546) and Washington's chatbot disclosure act take effect on 1 January 2027, with penalties in Colorado and Oregon reported at $1,000 per violation.¹¹ That guide is a secondary source; read the statute text before relying on it. For the full map, see do I have to tell customers it's AI, and for the case timeline, is my business responsible for what my AI tells a customer.

Why are written inquiries the safer place to start?#

Written inquiries are the safer place to start with AI because the medium itself supplies three controls that a live call cannot. A voice agent must answer in real time; a written reply can wait long enough to be checked. That difference changes what can be required of the system.

A checked answer. In writing, an assistant can answer only from the owner's price list, calendar and policies, and hold everything else for the owner. A voice agent under time pressure either improvises or stalls.

A record of each reply. Every written answer exists as text, with its sources, the rule applied and the address it was sent from. A call leaves a summary, and the G2 reviewers report that summaries vary.¹

A reply-by time. When a written inquiry needs a person, the customer can be told who will reply and when. A failed transfer leaves the caller with silence or a message that says nothing about timing.

Written channels have their own failure, and it is the opposite one: no answer at all. Leadferno's 2024 test of 225 small-business contact forms found 42.6% never replied.¹⁵ The risk in writing is neglect; the risk on the phone is a wrong answer delivered live.

When is a phone receptionist still the right choice?#

A phone receptionist is still the right choice when most of a business's leads arrive by call, and nothing in this article argues otherwise. Emergency trades, dental practices and any business whose customers expect to speak to someone should staff the phone, with a person or a carefully configured AI.

The practitioner test is instructive on how owners split the work. After seven scripted calls over two weeks, Lilach Bullock's events-staffing client kept its £480-a-month human phone service and used AI only for web chat, "where per conversation stakes are lower."⁴ The conclusion she drew applies to every vendor: the best system "doesn't matter if the escalation path around your highest-value enquiries is left on the factory setting."⁴

Two contract points also deserve attention before signing. Smith.ai states that its plans are month to month.⁶ A Trustpilot reviewer nonetheless reported in October 2023 that the company "continues to bill us even though our service was canceled."¹⁴ Read the cancellation clause, and keep the confirmation email.

• If your leads call, use a phone receptionist and test its transfer and money triggers before launch.
• If your leads write, start there: answers can be checked, recorded and given a reply-by time.
• Price the failed handoff, not just the call. One lost job can outweigh months of fees.

Where Valet fits#

Valet is for the second case: businesses whose inquiries arrive in writing. It answers email, website forms, listing and marketplace lead emails, and requests on the owner's free Valet page. It does not answer the phone. Each reply comes only from the owner's own facts, is signed as the business's AI assistant, and leaves a Valet receipt showing what was asked, the rule used, the sources and where it was sent from. Money, complaints and contracts go to the owner with one-tap replies, and the customer is told when the owner will respond. Follow-ups stop at two by default.

To see whether your written inquiries have the problem first, start with the free lead check: forward 10–20 recent inquiries and see what went unanswered, what stopped after one reply, and what it was worth. For the handoff rules themselves, see the AI handoff policy template.