While AI voice has been linked to automation replacing workers and AI-powered scams and fraud, industry professionals say the technology can also help SMBs in daily operations.

A new study from Smith.ai , a California-based AI Voice company founded by a team from Google, Apple, and Intuit, evaluated more than 3.2 million inbound calls to 4,210 U.S. law firms from June 2022 to July 2026. They found that 22% of calls arrive after hours, and 62.6% of answered calls are qualified leads.

Lawyers are an example of one of the hardest, most valuable funnels in small business, but the study trend applies to any SMB business that relies on phone calls for customers, Suresh Khanna, CEO of Smith.ai, says. As Khanna explains, every missed call is a missed customer.

In this report, executives from Voices, industry professionals, and lawyers specializing in legal tech explain how SMBs can benefit from AI Voice, how challenges can be navigated, and what the must-do checks are.

AI Voice: How Can AI Voice Help SMBs?

Customer service tools, phone and Interactive Voice Response (IVR) systems, e-learning, advertising, and other digital experiences are just a few examples of areas where small and mid-sized enterprises can leverage AI voice to grow reach and impact without scaling resources, Ruth Zive , CMO at Voices , a platform for voice solutions powered by professional talent (working from Voice Data to Branded AI Voice and Voice Over), says.

Voices is used by companies like YouTube, Adobe, and Microsoft. The company stands out from the competition for using real professional voice actors, instead of synthetic AI voices, widely used by other companies.

“AI voice makes the most sense when it comes to high-volume content that has to ship fast, change often, or reach multiple markets such as common customer service inquiries, product training, and localized ads,” says Zive.

Zive says that for example, AI voice can be effective for a support line that responds after hours, an IVR that updates when policies are updated, or training that needs to refresh every product release.

“But (for us) it was never really a question of human versus AI, because the most effective AI voices are powered by professional voice actors,” says Zive.

A hybrid approach uses technology to handle volume, real-time response, and localization, while the emotional range and expressiveness are delivered by the performer behind the voice, says Zive.

Why Finding the Right AI Voice Matters: Real Voice Professionals Versus Synthetic AI Voice

Deploying AI voice at scale can introduce certain risks that decision-makers might not anticipate, particularly those involving trust, provenance, and brand perception. According to the AMPLIFIED 2026 report of Voices, 79% of decision-makers say inauthentic AI voices hurt brand perception, and nearly 41% cite customer frustration/abandonment as the greatest risk of a poor AI voice.

Zive adds that speed shouldn’t just be the only deciding factor when choosing the right AI voice. “Quality and provenance (knowing whose voice it is and what rights you hold) are what make an AI voice safe to put in front of customers,” says Zive.

Before choosing an AI voice, decision-makers should ask an often overlooked question, says Zive. Could a competitor license this exact same voice tomorrow? “If the response is yes, or if you cannot confidently answer, you’re treating AI voice as a commodity rather than a brand asset,” says Zive.

For small and mid-sized enterprises where budgets and resources are limited, the right partner can help make this process manageable, Zive explains.

“Start with assessing the right fit: Does this voice reflect your brand, and will it connect with the customers you’re trying to reach?” Then ask the vendor these three things:Who is the actor behind this voice, and did they consent? Is this voice properly licensed? Who records new lines when my needs change?

“If they can’t share a clear answer, keep looking,” says Zive.

AI Voice Built for Small Businesses

The State of Voice AI for Small Businesses 2026 from UpFirst AI, a Miami, Florida-based AI company built for small businesses, found that 78% of U.S. consumers have hired or bought from a competitor because a business didn’t answer or return their call. About half (58%) of businesses miss at least one potential customer call in a typical week, rising to 91% at 10 to 49 employees.

The UpFirst AI report is not nationally representative but looked into 677,562 real calls and included surveys from 270 U.S. consumers and 265 U.S. small and mid-sized business owners and managers.

“There is a disconnect between what business owners think is important vs. what actually matters to consumers,” Alfredo Salkeld, co-founder of Upfirst , says.

“Owners focus on how realistic the voice sounds, but what actually makes calls go better is telling callers it’s an AI,” says Salkeld.

“In our survey, 80% of consumers said they want to be told at the start of the call,” says Salkeld. In our analysis of 450,000+ calls, greetings that said the agent was an AI were associated with about 20% fewer hang-ups, says Salkeld.

According to Salkeld, for SMBs the obvious benefit of Voice AI is missing fewer calls. Highlighting the recent UpFirst AI report, which found that most consumers hire a competitor when they do not get an answer or a call back, Salkeld says that among business owners who miss calls, the typical new customer is worth $500 to $2,000.

“The less obvious benefit is peace of mind,” says Salkeld.

Salkeld explains that the most common argument against AI voice is “I’d rather talk to a person”, but that’s almost never the real choice. “Most small businesses, even ones with staff, can’t afford enough people to answer every call,” says Salkeld.

“In fact, missed calls go up as companies grow,” says Salkeld. “So the real choice is voice AI or voicemail, or voice AI or a call center.”

“Most businesses use AI for the overflow, gaps, and after-hours calls that would otherwise go unanswered,” says Salkeld.

Some callers will still say they don’t want to talk to an AI, and that’s understandable, says Salkeld. “People have been let down for years by phone menus and ‘tell me in a few words what you’re calling about’ systems that couldn’t understand them, “ says Salkeld.

“It will take time for people to learn what a good AI call feels like, which is why a poorly set-up voice agent hurts the whole industry,” says Salkeld. “If an AI can’t do what the caller needs because it isn’t connected to the right systems, the caller hangs up thinking, ‘I hate AI robots’,” says Salkeld.

“Every good call helps change that impression,” says Salkeld.

AI Voice and SMBs: Challenges and Must-Do Legal Checks

AI Voice can drive operational efficiencies for SMBs but can also leave SMBs exposed to legal risks.

“For small and medium-sized businesses, the best way to think about legal concerns when using AI voice is to start with considering how they are going to use it,” says Parag L. Amin, Founder of LawPLA . “The way it is used will determine the areas of potential liability.”

Amin explains that, for example, if the AI voice is making calls to customers, the Telephone Consumer Protection Act (TCPA) is a concern. The FCC has ruled that AI-generated voices count under the TCPA, the same as a prerecorded voice.

“Accordingly, outbound AI calls generally need the person’s consent first and written consent for marketing,” says Amin. If a business owner doesn’t have it and uses AI voice for outbound calls without the receiving party’s permission, that violation of the TCPA is likely subject to strict liability, says Amin.

“That means a business can be liable even if it didn’t intend to violate the law, and there is generally no good faith defense,” says Amin. “If you did it, it can mean major liability for your business, including statutory damages for each violation,” Amin adds.

“The problem compounds if many consumers receive those calls, because then it becomes a potential class action,” Amin says.

Another example is if the AI voice is taking notes or recording calls, which may be a legal problem in all-party consent states, Amin explains. This is particularly sensitive for businesses that do business in multiple states, since some states have that law while others do not, Amin explains.

Regarding third-party AI Voice providers, Amin says, “When a third party handles the AI voice and the calls, who owns that information, how it’s stored, and how it can be used, all become potential issues, along with what disclosures and consents are needed from customers”.

A business can generally be held responsible for whatever it brings in under its umbrella, whether that’s an employee, AI Voice, or a vendor. “So, a business needs to really understand its playing field,” Amin says.

“That risk is greater for SMBs, since they usually do not have the protection and guidance of an in-house legal department,” says Amin.

Speaking about privacy policies, Amin says that if an outside company is running an SMB’s AI voice, the SMB is giving that company access to customer data. “The privacy policy should account for that,” says Amin.

“A generic line saying the business uses AI voice technology is not going to be sufficient if nobody knows what the vendor is doing with the data,” says Amin.

“Privacy policies are also not one and done documents,” says Amin, explaining that the vendor updates its privacy policy on its own timeline and for its own business reasons. Those changes can affect SMBs because they affect how SMBs’ customers’ data is being used or stored by the third-party company SMBs hired for their AI voice, Amin explains.

A business can identify its AI voice vendor by name in the business’s privacy policy, link directly to the vendor’s privacy policy (since the vendor may occasionally update it), and incorporate the vendor’s policy by reference. “That keeps the policy agile, and it gives customers transparency: here’s who we use, and here’s how they say they handle data,” says Amin.

“That matters, because when a privacy lawsuit is being considered, the first thing an attorney will go to is what was disclosed to the consumer about the usage of their data,” Amin says.

“Customers today are especially sensitive, because they really do not know what’s happening with their data, and more strangers have a person’s data than ever before,” Amin says.

“In that regard, some transparency goes a long way,” says Amin. “Saying, ‘This is the data we are collecting, and this is what we are doing with it,’ helps with both compliance and consumer perception”.

While deploying AI voice requires careful consideration, SMBs stand to gain from the tech in several ways. AI voice can help SMBs deal with high volumes, take more calls, generate more leads, miss fewer opportunities, and modernize operations that require agility, flexibility, and speed.

As AI Voice becomes more widely accessible, Amin says, “AI may be new, but the age-old rules of good business still apply — it still comes down to managing risk and being transparent with customers”.