What Is an AI Receptionist? Best Options for SMBs in 2026

Missed calls can mean missed appointments, leads, and revenue. McKinsey reports that about 70 percent of Gen Z customers prefer to call when they can’t resolve an issue through another channel.

Small businesses may struggle to meet this demand when employees are busy, call volumes increase, or customers reach out after hours. An AI receptionist such as Nextiva XBert can fill these coverage gaps.

A quick look at Nextiva XBert: The Nextiva XBert AI receptionist handles calls, texts, and web chats 24/7. It can answer questions, capture leads, book appointments, and transfer conversations to employees with context. XBert costs $99 per month for 100 AI interactions, followed by $0.99 per additional interaction. It works as a standalone service or as an add-on to a Nextiva plan.

This guide explains how AI receptionists work, how they compare with auto-attendants and human receptionists, and what features, costs, and providers small businesses should consider in 2026.

What Is an AI Receptionist?

An AI receptionist is a virtual assistant that uses conversational AI and natural language processing (NLP) to answer calls and respond to customer requests. It may also be called an AI phone receptionist, AI virtual receptionist, or virtual AI receptionist.

Unlike traditional answering services that use traditional automated phone menus, it uses artificial intelligence to understand callers when they speak in their own words.

An AI phone answering service typically connects with a business phone system, CRM, calendar, or scheduling platform. These connections let the AI phone assistant complete routine tasks during the conversation rather than simply taking a message.

Depending on the platform and setup, an AI virtual receptionist can answer inbound calls 24/7, answer frequently asked questions, provide message taking, and support lead qualification.

It can also book or reschedule appointments, send text confirmations and reminders, and route callers to the right person. After each interaction, it may record transcripts and summaries or use predefined call transfers when a request needs an employee.

AI Receptionist vs. Auto-Attendant vs. Human Receptionist

AI receptionists, auto-attendants, and human receptionists can all manage incoming calls, but they serve different purposes.

Comparison area	AI receptionist	Auto-attendant	Human receptionist
Caller interaction	Callers speak naturally	Callers select from fixed menu options or phone trees	Callers speak with a person
Primary function	Understands intent, answers questions, completes tasks, and routes calls	Routes calls to departments or extensions	Manages calls and front-desk work
Availability	Can operate 24/7	Can operate 24/7	Limited to staffed hours unless the business covers multiple shifts
Simultaneous calls	Can manage multiple conversations	Can route multiple calls, subject to the phone system	Usually manages one active call at a time
Frequently asked questions	Answers using an approved knowledge base	Cannot respond to open-ended questions	Answers based on training and judgment
Appointment booking	Books through a connected calendar	Usually routes callers to scheduling staff	Books appointments manually
Lead capture	Collects and records lead details	Usually limited to voicemail or menu choices	Qualifies leads through conversation
Text handling	Available on platforms that support SMS or web chat	Usually voice-only	Requires a separate texting platform or shared inbox
Complex requests	Escalates according to predefined rules	Routes to a predefined destination	Uses judgment and empathy
Setup requirements	Business information, workflows, integrations, and testing	Menus, extensions, and routing rules	Hiring, onboarding, and training
Cost model	Subscription plus possible usage charges	Often included with a business phone plan	Salary, benefits, equipment, training, and workspace
Best for	FAQs, scheduling, lead capture, overflow, and after-hours calls	Basic call routing	Sensitive or unusual conversations

In the AI vs. human receptionist debate, properly implemented AI receptionist solutions may cost less than a human receptionist.

How AI Receptionists Work

An AI receptionist connects to a dedicated phone number or extension. When a call arrives, an IP telephony system carries it over an IP network, while call-routing software directs it to the AI receptionist.

The AI uses natural language processing (NLP) to interpret the caller’s request and determine the appropriate response. It may use an approved workflow to collect data, such as the caller’s name, contact information, reason for calling, and preferred next action. The process usually follows these steps:

1. The AI answers the call with a customized greeting.
2. It determines the caller’s intent by analyzing the request and asking follow-up questions when necessary.
3. It checks the knowledge base for approved information about services, hours, locations, and policies.
4. It responds or completes an action, such as answering a question, taking a message, capturing a lead, or booking an appointment.
5. It records the essential details and escalates the conversation by transferring complex or sensitive requests to the appropriate employee or department.

For example, if a caller wants to reschedule an appointment, the AI can check a connected calendar, offer an available time, update the booking, and send a confirmation. If it cannot complete the request, it can take a message or transfer the caller to an employee.

How to Set Up an AI Receptionist in Minutes

Modern AI receptionists can learn from information your business already maintains, such as its business website, Google Business Profile, opening hours, services, and FAQs. Some platforms scan selected web pages, so AI receptionists can be trained to recognize specific keywords or requests relevant to a business. This removes much of the manual work involved in building a knowledge base.

Nextiva says businesses can set up XBert in under five minutes after providing their business information or Google Business Profile. With no coding or advanced tech skills required, an administrator can configure it through a user-friendly dashboard. However, turning on the service and preparing it for customer conversations are different steps.

Before launch, decide which tasks the AI should handle, create routing and escalation rules, connect the required business tools, and test common and unusual requests. A quick setup gets the receptionist running, while careful testing makes sure it gives accurate answers and transfers calls correctly.

Quick setup, followed by careful testing: Basic setup can take only a few minutes on some platforms, but preparing the AI for customer conversations requires testing. Businesses should review its answers, integrations, transfers, and escalation rules before launch.

AI Receptionist Features Beyond Call Answering

AI receptionists can do more than answer and route phone calls. Depending on the platform and its integrations, they can continue conversations by text, manage appointments, update customer records, and provide additional coverage when employees are unavailable.

SMS and text handling

An AI receptionist with SMS support can answer questions by text, capture lead details, share an address or intake form, and send automated text message confirmations, reminders, or rescheduling links.

For example, a caller could book an appointment over the phone and receive the date, time, location, and rescheduling link by text before the call ends. These messages may help reduce no-shows and give customers a written record of their appointment details.

Businesses should obtain the necessary consent, follow applicable messaging regulations, and consider the type of information shared by text. Connecting voice, SMS, and web chat records also gives employees the complete conversation history when they follow up.

CRM, calendar, and scheduling integrations

Calendar and scheduling integrations let an AI receptionist check current availability and book, reschedule, or cancel appointments. It may also select the appropriate employee or location, record the reason for the appointment, and send confirmation details.

A CRM connection can let the AI create a lead, update a customer record, save contact details, assign an inquiry to an employee, or add a conversation summary. It may also log calls and attach their outcomes to the relevant customer record.

For example, when an existing customer calls about a service request, the AI can record the new information and transfer the conversation with relevant context.

Without these integrations, the AI may only answer questions or record a message. Integration support varies by platform, plan, and third-party application, so confirm that the provider supports your existing CRM, calendar, and scheduling tools.

After-hours and high-volume call handling

An AI receptionist can answer routine calls when the business is closed, employees are busy, or call volumes increase. It can provide approved information, capture contact details, take messages, and route urgent requests according to predefined escalation rules.

For example, Nextiva AI Employee can manage calls and digital conversations outside regular business hours and during busy periods. Available capacity, channels, and routing options depend on the configured plan and workflows.

AI receptionists can reduce reliance on voicemail, but they do not replace employees in every interaction. Sensitive, unusual, or complex requests still need human intervention from someone with the appropriate expertise.

To see these AI capabilities in action, the video below provides a great visual overview of how AI is transforming modern business phone systems.

The Benefits of Using an AI Receptionist

You get many benefits from using AI-powered receptionists. Let’s look at a few key ones:

1. 24/7 availability and lead capture

Most businesses miss calls after 5 PM, on weekends, or when the lines are busy. Those calls often go straight to a competitor. A virtual phone receptionist can receive calls after hours. It answers late-night calls, handles overflow during peak times, and qualifies new leads right away.

Depending on the provider and plan, AI receptionists can manage several conversations at once and reduce the number of inquiries sent to voicemail. This makes it more likely that calls are answered promptly, even outside staffed hours.

2. Increased team productivity

Your staff shouldn’t spend their day answering the same basic questions or scheduling appointments. AI receptionists excel at managing calls, allowing your team to focus on higher-value tasks. An AI receptionist handles scheduling, answers FAQs, and automatically syncs with your CRM.

Net-net, this gives your team space to focus on work that drives growth, closes sales, supports clients, and handles tasks that require a human touch.

3. Enhanced customer experience

High hold times and rigid call flows turn people away. AI-powered answering systems let callers speak in their own words and get help. AI receptionists can engage in human-like conversations, making interactions feel natural and friendly.

Some platforms offer human-like voices and multilingual support, although available languages and accents vary. It removes friction, saves time, and leaves a strong first impression on new prospects.

4. Data-driven business insights

Many business owners make decisions based on gut instinct or scattered notes. An AI receptionist shows you real data and call analytics: why people call, peak call times, and how conversations flow. Real-time reports make it easier to plan staffing, adjust marketing, and improve service.

From built-in call recordings to instant call summaries, you can review and analyze for deeper insights. A centralized dashboard may organize transcripts, summaries, and call logs, giving employees a record of previous customer interactions. Built-in security and compliance features also keep customer data safe while giving you the right insights.

What Missed Calls Actually Cost You

A missed call does not always equal a lost sale. Some callers leave a message or try again, while others contact the next business that answers. This creates a measurable revenue risk for businesses that depend on appointments, consultations, estimates, or urgent service requests.

Use this formula to estimate the monthly revenue opportunity associated with missed calls:

Estimated missed revenue = missed calls × qualified-lead rate × close rate × average customer value

Consider a local service business that misses 20 calls per month. If 30% of those callers are qualified leads, the business closes 25% of qualified leads, and an average first sale is worth $500, the calculation is:

20 × 30% × 25% × $500 = $750 per month

The $750 represents estimated revenue associated with missed calls, not guaranteed lost revenue or profit. Every business should use its own call volume, qualified-lead rate, close rate, and average customer value.

Monthly comparison	Estimated amount
Potential revenue associated with 20 missed calls	$750
Nextiva XBert base subscription	$99
Difference between the estimated opportunity and subscription cost	$651

In this example, the business has an estimated $750 in monthly revenue associated with unanswered calls. Nextiva XBert costs $99 per month, leaving a difference of $651 between the two amounts.

This does not mean the business will recover the entire $750. Actual results depend on how many calls XBert answers, how many callers become customers, profit margins, and additional usage charges. One recovered sale worth $500 equals approximately five months of the base subscription before fulfillment costs and other expenses.

After collecting actual performance data, use this formula to estimate ROI:

ROI = (incremental gross profit + realized labor savings − total AI receptionist cost) ÷ total AI receptionist cost × 100

Use Nextiva’s AI receptionist ROI calculator to estimate how much missed calls may cost your business and compare that amount with the cost of an AI receptionist.

Top 3 AI Receptionist Providers in 2026

Let’s explore these top three AI receptionist solutions, their features, and best use cases to help you choose the optimal answering service for your business.

Key features	Nextiva XBert AI	Dialpad	Dialzara
Natural language interactions	Understands caller intent through the IVR call management process and clear routing paths	Handles open-ended speech with sentiment detection and voice recognition	Holds open-ended conversations with an AI agent trained on your business details
CRM integration	Syncs with customer data for contextual call handling	Links to call notes, contact history, and sales workflows	Native integrations cover popular CRMs; connect anything else via Zapier, Make, or webhooks
SMS capabilities	Sends appointment confirmations and reminders via integrated texting	Delivers text messages tied to meeting follow-ups and sends missed call alerts through API	Sends call summaries and new-lead details to your team by text or email after each call
Appointment booking	Books and updates appointments through connected calendar tools	Schedules meetings and suggests follow-ups post-call	Captures appointment requests and books directly through connected calendar tools
Voice customization	Offers preset call greetings with branded messaging options	Allows voice tone adjustments and learning-based improvements	Offers 50+ AI voice options with different accents, tones, and styles to match your brand
Workflow editor	Uses visual tools to design call flows and escalation logic	Enables no-code setup with trigger-based routing	Uses guided, template-based agent setup rather than a visual flow builder
Real-time analytics	Monitors call patterns, duration, and missed opportunities	Shows live call summaries, action items, and CSAT scores	Provides call transcripts and summaries in a central dashboard
Security and compliance	Meets data privacy needs with encryption and secure hosting	Offers call protection, permissions control, and compliance tracking	Dialzara does not publicly list formal third-party security or compliance certifications (such as SOC 2 or HIPAA), though they state that they use encrypted, access-controlled U.S. data storage

1. Nextiva XBert AI

Nextiva’s AI receptionist solves the two problems that cost businesses the most money: missed inbound demand and slow, inconsistent first responses. It answers calls, texts, and chats 24/7, handles multiple conversations at once, and keeps every inquiry moving forward instead of landing in voicemail or a callback queue.

In the market of AI answering solutions, XBert earns the “best overall” distinction because it goes beyond basic call transcriptions. XBert uses your website and additional business insights to answer real questions in real time, book and reschedule appointments, capture lead details, and intelligently direct complex requests to your team with full context.

Setup and implementation are handled completely by Nextiva (and, for a limited time, at no extra charge), with no technical setup required.

It’s also highly affordable. XBert is $99/month for 100 interactions plus $0.99 each above that, positioning it as 10–20x cheaper than a full-time receptionist, and backs it up with a 30-day money-back guarantee.

Features:

• Creates drag-and-drop call flows without coding
• Works alongside existing business app integrations
• Operates independently from your existing phone system or auto attendant to route calls
• Syncs with CRMs and builds customer interaction histories
• Books appointments and automates SMS confirmations and follow-ups
• Offers AI-powered call summaries and a central analytics dashboard

Ideal for:

Nextiva is ideal for small and midsize businesses that want a single platform to manage voice, SMS, and customer interactions. Instead of relying on multiple vendors, users get a streamlined system with built-in AI and automation.

Its business phone system not only centralizes communication but also provides visibility into customer needs and business trends.

Pricing: You can access Nextiva’s smart call routing with the Core plan for just $15 per user per month. XBert AI is available for $99 per month, with 100 eligible interactions included.

2. Dialpad

Dialpad’s AI receptionist is built into its cloud communication stack. It answers calls, sends them to the right team, and learns from user behavior over time, all configured without code. Administrators can adjust AI agent workflows directly in the dashboard anytime. Dialpad also offers custom pricing options for businesses with unique needs or high call volumes.

Features:

• Combines voice, messaging, and video in one centralized platform
• Transcribes calls and analyzes sentiment in real time
• Summarizes calls with follow-up actions automatically
• Handles missed calls, routes callers based on intent, and books appointments

Ideal for:

Dialpad is best suited for fast-paced teams in midsize businesses or enterprises with high call volumes. Its AI receptionist can understand requests, retrieve information, complete configured tasks, and escalate conversations to employees with context. Sales teams can use Dialpad’s AI Playbooks to stay on message.

Meanwhile, support agents, sellers, supervisors, and other roles involved in contact center AI benefit from real-time AI CSAT insights to quickly assess customer satisfaction.

Pricing: Dialpad uses conversation-based pricing for its AI Agents. Businesses purchase a pool of AI Agent Credits, so they must contact Dialpad for pricing based on their expected usage.

3. Dialzara

Dialzara is an AI answering service built for very small businesses. Instead of replacing your phone system, it sits in front of your existing number through call forwarding. You train its AI agent on your website and business documents, and it then answers calls around the clock, greets callers by your script, and captures caller details when your team can’t pick up.

Features:

• Answers calls 24/7 with an AI agent trained on your website and business information
• Works with your existing phone number through call forwarding, so no phone system change is required
• Captures caller details and sends message summaries after each call
• Connects with select CRMs natively and supports additional integrations through Zapier, Make, and webhooks
• Offers 50+ preset AI voices with different accents and professional tones to align with your brand

Ideal for:

Dialzara is a fit for solo operators and very small teams that want an affordable AI answering layer without adopting a full communications platform. It handles the answering side of the front desk, but it isn’t a business phone system, so teams that also need calling, SMS, video, and analytics in one place will outgrow it.

Pricing: Starts at $29/month for up to 60 minutes of talk time, and anything over that is $0.48/minute. Dialzara can handle unlimited simultaneous calls, but voice usage itself is metered by minutes.

Which AI receptionist provider is right for you?

• Choose Nextiva if: You want a simple, all-in-one AI receptionist and top-rated phone service to manage all your business communications and customer interactions.
• Choose Dialpad if: Your focus is on sales or support team performance and you need real-time AI insights and coaching.
• Choose Dialzara if: You’re a solo operator or very small team that wants a low-cost AI phone answering service running in front of your existing phone number.

Common AI Receptionist Use Cases

Different industries use (or can use) AI receptionists in their own ways, but the goal is the same: to save time, handle multiple calls, and not miss any opportunity.

AI receptionists are equipped to efficiently address customer concerns across industries, resolving issues, scheduling appointments, and providing information to enhance customer satisfaction. By 2026, AI receptionists may recognize returning customers and recall their past interactions, further enhancing the customer experience and delivering consistent service that builds brand reliability.

Common small business tasks

Use case	What the AI receptionist does	Business result
Taking messages	Collects the caller’s name, contact details, reason for calling, and preferred next step	Gives employees a structured message for follow-up
Answering FAQs	Responds to approved questions about hours, services, locations, policies, and appointments	Reduces repetitive calls for employees
Capturing leads	Asks qualification questions and records the prospect’s needs	Gives sales teams more context before following up
After-hours handling	Answers questions, takes messages, books appointments, or routes urgent requests	Keeps the business available outside staffed hours

Healthcare clinics and medical practices

Common use cases for an AI receptionist include scheduling appointments, sending reminders to reduce no-shows, and answering questions about opening hours, insurance, or directions in healthcare settings. AI receptionists gather essential patient information, such as appointment times and insurance details, to streamline scheduling and support.

AI phone agents filter routine calls and route urgent calls directly to the on-call nurse or doctor. This keeps hospital reception desks clear, and patients receive prompt care.

Law firms and legal services

In law firms, an AI receptionist can filter new callers, ask preliminary questions, schedule consultations, and connect clients with the right attorney or paralegal. It can answer calls around the clock, helping firms generate new leads and avoid missing client opportunities.

Home services (plumbing, electricians, HVAC)

AI receptionists can book service appointments, explain prices, and handle after-hours emergencies. Say a customer reports a burst pipe or a broken air conditioner; AI can record the details and immediately notify the on-call technician. This way, home services can secure more business, and customers receive assistance faster.

AI receptionists also help home service businesses turn missed calls into repeat customers by ensuring every inquiry is addressed promptly.

Real estate agencies

Real estate firms can use an AI receptionist to capture leads from property listings or advertisements, schedule viewings, answer questions about listings, and connect existing clients with their agent. Automation helps reduce phone calls and gives real estate firms more time to close deals. It also promptly answers new customer inquiries, so agents don’t miss potential buyers or tenants.

How to Choose the Best AI Receptionist for Your Business

The best AI receptionist isn’t the one with the most features, but the one tailored to your business. Here’s how to find the right AI assistant:

Understand your business needs

Understand how your business phone system currently performs. How many calls do you receive daily? What do customers typically call for? Are they appointments, questions, emergencies, or sales inquiries? 

Track your call volume for at least a week and note the most common call reasons. Use this data to set your budget. A good AI receptionist will adapt to your needs rather than forcing you to adapt to them.

Assess the AI’s conversational capabilities

The best way to evaluate an AI receptionist is to see it in action. Request a demo or trial version and test it in real-world scenarios. See how it responds to natural language, different accents, and follow-up questions. It should respond clearly and guide callers without causing confusion or frustration.

Consider integration options

An AI receptionist should integrate with your existing tools, such as a CRM, calendar, or scheduling software. Make a list of your essential tools and request a complete integration list from the provider before signing up. A well-integrated system saves time and eliminates the need for manual updates.

Check for security and compliance

If your company handles sensitive information, security is non-negotiable. Healthcare, finance, and other regulated industries require providers that adhere to strict compliance rules. Request proof of compliance certifications (such as HIPAA or PCI DSS) from the provider and inquire about how they store and protect customer data.

Compare pricing models

Providers charge differently. Some charge per call or minute, others offer a monthly flat rate. Estimate your monthly call volume and compare it with the pricing models of at least three AI receptionist providers to find the best value. Choose a plan that matches your call volume and expected growth so you don’t pay for features you’ll never use.

Read our detailed guide comparing the costs of live answering services. We’ve done the work for you so you can make sure the investment is worth it.

Drawbacks and Considerations With AI Receptionists

AI receptionists are extremely useful, but not a complete replacement for humans. Let’s look at the most common disadvantages you’ll come across: 

The need for a human touch

While AI can handle routine calls, it can’t replace humans in every situation. Callers expect empathy and clear judgment when dealing with complex or emotional issues. Businesses should use a mix of automation and live agents to handle both simple and sensitive issues.

Setup and training time

An AI receptionist isn’t ready to use right away. It requires your business data, call flows, and answers to frequently asked questions. Setting it up takes time initially, but it pays off later with more precise answers.

Risk of misinterpretation 

Even with advances in agentic AI, despite its excellent performance, it can make mistakes. It can misunderstand, miss context, or provide incomplete answers. Regular performance checks and system updates help identify these issues early and ensure a smooth experience.

Privacy and data security risks

AI receptionists may process personally identifiable data, call recordings, transcripts, contact details, and other customer information. Businesses should understand what data the provider collects, where it stores that information, how long it retains it, and whether third parties can access it.

Companies in regulated industries should also confirm that the provider supports their specific compliance requirements. Access controls, encryption, consent procedures, and clear data-retention policies can reduce privacy and security risks.

Nextiva protects XBert interactions through its security and compliance infrastructure. Nextiva publishes support for SOC 2, ISO 27001, PCI DSS, GDPR, and HIPAA-compliant plans, along with TLS and SRTP encryption. Businesses should still confirm that their selected plan, integrations, data-retention settings, and agreements meet their specific regulatory requirements.

The following video explains some of the less obvious risks businesses should consider before adopting an AI receptionist.

When you might not need an AI receptionist 

AI receptionists are especially useful if phone calls are central to your business. They prevent lost calls, book appointments, prevent you from missing new leads, and relieve your staff of repetitive tasks.

You’re most likely to benefit if:

• Calls go unanswered after business hours
• Employees spend too much time scheduling appointments or repeating questions
• Call volume is growing faster than your team can handle

But not every business needs it right away.

You may not see much benefit if:

• You only receive a few calls per day
• A small team can handle calls without delay
• You aren’t busy with other tasks or projects

In these cases, voicemail transcription or call forwarding may be sufficient initially. As call volume increases or customers expect faster responses, switching to an AI receptionist becomes worthwhile.

Why Nextiva Leads the Pack

Selecting an AI receptionist goes beyond the immediate solutions it can provide. It’s about finding a system that will grow with your small business or midsize enterprise. The right solution should be easy to use, flexible, and designed for long-term value.

When you need a simple yet effective AI receptionist, XBert AI is the best choice for business owners to pick. Hear the demos for yourself.

Nextiva delivers calls, messages, automation, and customer insights all in one platform. It’s a future-ready system that’s not only simple to set up. As a UJET alternative, it also simplifies your workflow and leverages AI for improved customer experience as your business needs evolve.

Discover how Nextiva’s solutions can streamline communication and enhance every call.

Frequently Asked Questions About AI Receptionist (FAQs)