Which Voice API Is Best for Building an AI-Powered Receptionist? A 2025 Guide to Top Platforms

September 23, 2025

Trying to figure out which voice API is best for building an AI-powered receptionist? You’re not alone. With so many platforms out there in 2025, it’s easy to get lost in the details. Some promise natural conversations, others focus on integrations, and a few just sound plain robotic. In this guide, we’ll break down what actually matters, what to watch for, and which platforms are worth your time—no jargon, no fluff, just what you need to make your business run smoother.

Key Takeaways

  • Modern AI receptionists go way beyond old-school phone menus—they understand real language, handle complex questions, and don’t get tired.
  • Voice quality is a big deal. The best APIs sound almost human, making your callers feel comfortable (and less likely to hang up).
  • Integration with your business tools—like calendars, CRMs, and workflow apps—is a must if you want to actually save time.
  • Scalability matters. Top APIs can handle lots of calls at once, so you won’t miss leads even when things get busy.
  • Pricing models vary a lot. Look for clear billing and usage controls so you don’t get hit with surprise costs.

Understanding AI Voice APIs for Receptionists

AI receptionists today are more than just virtual operators—they act like reliable, always-on staff members. These systems use programmed intelligence to pick up the phone, answer routine questions, and schedule appointments. What makes them stand out is their ability to chat with callers naturally, just like a person would. Unlike old-school automated systems, you don’t need to press buttons to talk to a human—you can just speak, and the system figures out what you want.

AI receptionists offer around-the-clock support, ensuring you never miss a lead or customer inquiry, no matter the hour.

  • Handle phone calls, texts, and sometimes even emails
  • Book, reschedule, and cancel appointments
  • Answer detailed, business-specific questions with info you provide
Many busy business owners find themselves shocked at how much time an AI receptionist can free up. Suddenly, calls are handled with zero stress, even when things get hectic or out of hours.

Traditional phone systems follow set patterns: “Press 1 for sales, press 2 for support.” If you’ve called any company in the past decade, you know the drill. These systems can frustrate people by trapping them in endless menus. In contrast, AI voice APIs work differently:

  • Understand natural speech, not just keypad tones
  • Provide direct answers and take action instantly, no waiting in a queue
  • Give the same quality experience to every single caller (bad mood never included)

Here’s a quick comparison:

Natural Language Processing (NLP) lets AI receptionists really "get" what you’re saying. Combined with machine learning, these systems read between the lines to catch intent and context. Here’s why it matters:

  • Calls don’t sound robotic or scripted
  • The system learns from every interaction, getting better over time without manual retraining
  • It adapts to your unique terms, industry slang, and customer quirks

Some common AI skills you’ll see:

  1. Automatic speech-to-text transcription for accuracy
  2. Real-time language interpretation and response
  3. Recognition of caller sentiment—and adjusting replies as needed

This means the AI receptionist can actually have a conversation: it listens, understands, and acts. Pretty soon, callers might have trouble telling if they ever spoke to a real person at all!

Key Features to Look for in a Voice API

Modern office with virtual receptionist and headset

Building an AI-powered receptionist isn’t just about having a robot answer the phone—it’s about picking a platform with the right mix of features. The best voice APIs out there can swap between languages, act just like a real person, and manage calls and appointments without tripping over themselves. Here’s what matters most for 2025:

Human-Like Conversational Abilities

Nobody wants to talk to a robot that sounds like it’s reading from a bad script. You’ll want a voice API that can:

  • Respond naturally, with pauses and tone shifts that sound human.
  • Understand context and remember past conversations for smoother follow-ups.
  • Handle complex questions instead of just sticking to yes/no answers.
  • Recognize when to hand the call off to a real person if needed.

A great AI receptionist should chat like your best front desk employee, not like an old answering machine.

An AI that actually “gets” your customers and can hold a real conversation isn’t just good for business—it’s the difference between impressing callers and annoying them.

Appointment and Call Management

Forget spreadsheets and sticky notes. The right platform should help you stay on top of every call and booking:

  • Schedule, reschedule, and cancel appointments directly via voice.
  • Sync effortlessly with tools like Google Calendar, Outlook, or your favorite CRM.
  • Track call outcomes, take notes, and follow up automatically.
  • Send reminders and confirmations by text or email, so nothing falls through the cracks.

A good system takes the admin pain out of your day and lets staff focus on more important stuff.

Multilingual and Compliance Support

With businesses serving global clients, your voice API needs to be multilingual—and compliant with privacy rules:

  • Speak and understand multiple languages (some platforms offer support for 18+ languages).
  • Adjust tone and style for different cultures and regions.
  • Follow regional laws, like HIPAA in healthcare or GDPR for Europe, so you don’t get caught out.

Don’t settle for a one-language wonder—make sure your AI can talk the talk, everywhere.

Pick your voice API like you’d pick a new team member—look for skills, reliability, and the ability to play well with the rest of your tech stack. If it falls short on any of these key features, you’ll notice the gaps right away.

Evaluating Voice Quality and Realism

How your AI receptionist sounds matters more than you might expect. Customers form opinions in seconds, and even a subtle robotic tone can make callers uneasy or suspicious. When you're picking a voice API for your AI-powered receptionist, voice quality and realism aren't just nice to have—they make or break the customer experience.

Importance of Natural-Sounding Speech

A virtual receptionist must sound convincingly human if you want people to feel comfortable and engaged. Anything less can lead to frustration or mistrust. Here’s what matters most:

  • Clarity: Every word should be crisp, easily understood, and consistent across accents.
  • Emotional range: Can the voice vary tone to match context—cheerful for greetings, helpful for queries, apologetic for issues?
  • Response speed: Long pauses or obvious "thinking" sounds break immersion and remind callers they're speaking to a bot.
No one likes hearing "I’m sorry, I didn’t catch that..." over and over. The most lifelike voice APIs can keep conversations feeling natural, no matter the question or time of day.

Advanced Synthesis and Voice Cloning

Some APIs go way beyond basic text-to-speech, using neural models to create voices that are hard to tell from real people. Here’s what to look at:

  • Voice cloning: Can the API create a branded, unique voice from a sample, so your receptionist truly fits your business identity?
  • Fine control: Adjust pitch, age, and accent to fit your customer base or have a consistent brand persona.
  • Multi-voice: Some platforms let you mix different voices—for example, switching to a male or female voice depending on the scenario.

Impact on Customer Experience

A lifelike voice can put callers at ease, encourage them to stay on the line, and help resolve problems faster. Conversely, bad audio—monotone delivery, choppy phrasing, slow responses—will send your customers looking elsewhere. Here's how voice realism impacts your business:

  • Builds trust: Realistic voices are more likely to leave a good impression.
  • Reduces errors: The clearer and more responsive the voice, the less chance for misunderstandings.
  • Improves accessibility: Good voice tech handles different accents and languages smoothly, broadening your customer base.

Bottom line: investing time in choosing a voice API with strong realism and sound quality pays off in better first impressions, smoother calls, and happier customers.

Integration Capabilities with Business Tools

Having your AI receptionist work smoothly with the rest of your tech stack is just as important as the conversations it manages. The real power is unlocked when your voice solution connects to your CRM, calendar, and the cloud of business tools you depend on every day.

CRM and Calendar Integrations

Bringing call information and schedules into your CRM or calendar helps keep your workflow organized and lets your team focus on important tasks instead of manual updates. Reliable APIs often support integrations with:

  • Salesforce, Zoho, HubSpot, and other CRMs directly or via middleware
  • Google Calendar, Microsoft Outlook, and iCal for real-time scheduling
  • Automatic lead updates: Log calls, add new contacts, and tag outcomes instantly

Sample Integration Flow Table:

This tight connection means your sales team won’t have to chase missed leads or double-book appointments.

Zapier and Workflow Automation

Zapier support is a game-changer for small and mid-sized businesses. With one integration, your AI receptionist can talk to over 9,000 web apps. Here’s how that saves you time:

  1. Update spreadsheets each time a call happens, with zero manual work.
  2. Trigger customer follow-up emails, SMS, or Slack messages after every call.
  3. Push call data into analytics tools or project boards.
  4. Automate reminders, send review requests, or update invoices without ever lifting a finger.

What feels minor at first compounds fast, cutting hours of grunt work every week.

When you automate these routine tasks, your team can put their energy where it’s actually needed, and nothing slips through the cracks anymore.

APIs for Custom Business Logic

More advanced companies sometimes need flexibility beyond out-of-the-box integrations. A quality voice API lets your dev team build:

  • Custom call routing based on caller behavior or account status
  • Tailored data sync between your internal tools and the phone platform
  • Workflow triggers (such as scheduling, escalations, or follow-up sequences) specific to your process

Simple REST APIs and webhook support are your best friends here. Whether you’re integrating with in-house ERPs or something a bit quirky, check the API docs before you commit.

In a nutshell: The best AI phone platforms for 2025 aren’t just about what happens on the call. They’re about making sure all that call data lands where you need it—fast, accurate, and hands-free. If your solution plays well with others, your entire business runs smoother.

Scalability and Parallel Call Handling

Busy office lobby with AI-powered digital receptionist interface.

In the past, a busy day at the office often meant missed calls and long wait times for customers. These days, an AI-powered receptionist can handle as many callers as you throw its way—without sighing, panicking, or making you hold for "the next available rep." Modern voice APIs are built to scale, making unlimited parallel calls possible, so your business never sounds busy—even when it is.

Concurrent Calls Without Limitations

  • Top voice APIs use cloud infrastructure to manage thousands of simultaneous calls.
  • There’s no need for multiple phone lines or hardware, just internet access and your API provider.
  • This setup keeps hold times low and ensures every caller gets help right away.

Service Comparison Table

Performance During Peak Periods

  • Peak times—tax season, sales, or emergencies—won’t slow down an AI receptionist.
  • Consistent speed and response, even if every customer calls at once.
  • Advanced monitoring alerts you to spikes in usage, keeping support steady.

Ensuring Reliability for Large Call Volumes

  • Leading APIs guarantee high uptime, often 99.9% or more.
  • If one server struggles, traffic reroutes automatically; your callers barely notice a hiccup.
  • Good APIs offer real-time dashboards showing call volume, status, and any failed connections.
When your business gets flooded with calls—think viral promotion, or just a hectic Monday—an AI receptionist doesn’t flinch. It answers each call like it’s the only one. You keep customers happy and your reputation intact, no matter how high the volume climbs.

Setting Usage Limits and Active Times

Finding the sweet spot between cost, efficiency, and availability can really make or break how your AI receptionist fits into your business. Smart control over how much your AI is used—and when—means you avoid surprise costs while covering customers when it matters most. Here’s how to think about these features in real life.

Real-Time Monitoring and Alerts

You can’t manage what you don’t measure. Modern voice APIs let you:

  • See AI receptionist usage as it happens, with live dashboards.
  • Set usage caps for daily, weekly, or monthly minutes/calls.
  • Configure alerts when you’re nearing usage limits so you’re not blindsided by overages.
  • Get reporting on when your highest call volumes occur, so you can decide if limits should be raised during busy hours.
With real-time monitoring, you can react immediately if something unexpected happens, like a sudden call surge or a system glitch. This is peace of mind, plain and simple.

Customizing Schedule and Availability

The best AI voice platforms don’t just run non-stop—they let you pick when your AI is "on the clock." Look for:

  • Ability to set business hours, after-hours, weekends, and holidays separately.
  • Seasonal schedule adjustments (like more evenings during tax season or holidays).
  • Time zone awareness if your business or customers are spread out.
  • Contextual responses based on current time (so customers get the right info even at 3 AM).

A few common ways businesses use these controls:

  1. Standard hours: AI covers 9-5, with overflow to voicemail after.
  2. 24/7: Always on, especially for global or e-commerce support.
  3. Split shifts: AI receptionist is active during peak periods, off during dead hours to save costs.

Cost Control with Predictable Billing

Dread unpredictable bills? Voice APIs now offer firm budget control:

  • Hard caps: Set maximum usage so you never exceed your expense target.
  • Automated cut-offs: Calls are routed to voicemail, escalated, or dropped once limits are hit—not ideal for CX, but useful for strict budgets.
  • Reports for forecasting: Use usage data to plan future billing periods more accurately.
It doesn’t matter if you’re a tiny law office or a national retailer, these usage controls help you keep a handle on the costs without sacrificing the coverage that keeps your business running smooth.

Pricing Models and Cost Considerations

AI robot receptionist greeting visitors in modern office lobby

When you’re deciding on a voice API to power your AI receptionist, the way you’ll pay matters just as much as the features. Pick the wrong pricing model and you’ll either overspend or run out of minutes when you least expect it. Let’s break down how the big options compare—and what to look for when you’re budgeting for 2025.

Monthly Plans vs. Per-Call Billing

Providers typically offer a few billing options:

  • Monthly Subscription: Set price, unlimited/minimum included usage. Great for businesses with predictable or high call volume. Removes variable monthly charges but could cost more if you don’t use your full capacity.
  • Per-Call Billing: Pay for each call or minute used. Ideal for lower call volume or businesses with shorter, more transactional calls.
  • Hybrid Models: Some platforms let you pay a base fee, then charge overages or provide additional features for a premium.

Here’s a quick comparison:

Enterprise vs. Small Business Solutions

Most platforms split their plans by business size:

  • Small Business: Lower base fees, capped usage, fewer advanced features. Simple, easy to get started quickly.
  • Enterprise: Volume discounts, detailed analytics, custom integrations, compliance tools (HIPAA, GDPR), dedicated support.
  • White-Label/Reseller: Some companies offer plans for agencies who want to rebrand and resell the AI receptionist.

Key factors to compare:

  1. Included call minutes or calls per month
  2. Volume discounts and overage rates
  3. Onboarding/setup fees and minimum commitments
Thinking about scaling your business? Don’t just budget for what you need today. Try to estimate where your call traffic will land a year from now, or you might end up switching plans twice in the same year.

Calculating Total Cost of Ownership

It’s easy to just look at the sticker price, but real monthly costs can add up fast. Remember to tally:

  • API usage charges (calls, minutes, messages)
  • Integrations (CRM, calendar, workflow tools)
  • Add-ons like advanced analytics, extra languages, compliance modules
  • Implementation and training costs
  • Support fees for SLA guarantees

A simple cost checklist:

  1. Review average and peak call volume
  2. Add likely integration or API usage fees
  3. Factor in onboarding and any required setup
  4. Watch for extra charges (call recording, storage, advanced features)
  5. Forecast annual total—not just monthly—and look for hidden fees

Example Cost Breakdown Table

Always ask for clear documentation and, if possible, try the platform’s free trial to estimate your real costs in action.

The bottom line: Get very clear on your expected usage, calculate beyond the sticker price, and choose a plan that gives you room to grow without surprises.

Advanced Analytics and Performance Metrics

Advanced analytics transform your AI-powered receptionist from a simple call handler into a true asset for your business. These tools let you figure out what works, what doesn’t, and exactly where your AI needs a bit more training—or maybe less freedom. Smart analytics can help you fine-tune your receptionist faster than you might think.

Actionable Insights from Call Data

Digging into your call data can feel a bit overwhelming at first. Here’s what to look for:

  • Which questions are answered well and which ones trip up the AI
  • How often callers are transferred to a human agent
  • The busiest times for inbound calls
  • Frequent customer concerns or requests

A good analytics dashboard doesn’t just spit out numbers; it serves up real suggestions you can actually act on. For example, it may show that lots of callers are asking for directions—maybe there’s a way to handle that automatically or update your script.

Analyzing how your receptionist performs in real scenarios reveals quick wins for scripting, scheduling, and even employee training.

Measuring Conversion and Lead Generation

It’s easy to get caught up in call volume or response speed, but what really matters is: are these calls turning into business for you?

  • Appointments made directly by the AI
  • Leads captured and qualified
  • New customer conversions on those calls
  • Automatic follow-ups after missed calls

Don’t forget to compare before-and-after numbers. Use this simple table to track impact:

Optimization Through Continuous Learning

Your receptionist shouldn’t be static. Over time, it should get better at answering tricky questions and booking appointments, thanks to feedback and analytics. Here are a few ways to optimize regularly:

  1. Review call transcripts each week—you’ll spot unclear or wrong answers fast
  2. Update the AI’s knowledge base with new info, services, or script tweaks
  3. Test new greetings, conversation flows, or escalation rules
  4. Monitor error rates and resolution times for ongoing improvements
  5. Periodically check customer feedback, both direct surveys and sentiment analysis
The real advantage of analytics? They let you make changes quickly, so your AI feels less like a robot and more like a natural extension of your business.

Top AI Voice Platforms for Receptionists in 2025

AI-powered receptionists have become everyday business tools, and the real challenge isn't whether you need one, but which platform to pick. Every business has unique needs, so the best platform is the one that closely matches your workflow, budget, and customer expectations.

Overview of Leading Providers

Here's a quick snapshot of some of the frontrunners making waves in 2025:

Unique Strengths of Each Platform

  • RingCentral AI Receptionist quickly becomes the backbone for larger orgs that need airtight integration and high security. Plug it into CRM, calendar, workflows—it's very much set-and-forget for teams who can't miss a beat.
  • GoTo Connect stands out for small to midsize businesses that want something straightforward, affordable, and reliable, especially if they field calls in multiple languages.
  • Smith.ai is perfect if you want some human touch—real people can jump in for complex calls. It’s great for law firms, consultants, anyone who wants every lead meticulously qualified.
  • Synthflow AI leads the pack for experimental businesses craving voice cloning and custom business logic. It appeals to tech innovators or those with very specific requirements.
  • OpenPhone Sona is a favorite among younger startups and mobile-first teams. Their unified workspace and price point make it almost a no-brainer for teams who need to cover both calls and texts without any fuss.
  • Handshake is all about sales. If you’re qualifying leads and want advanced nurturing sequences, its automation is only rivaled by more expensive solutions.
  • Virtual Reception AI fills the gaps for industries with compliance needs. Think healthcare clinics (HIPAA support) or businesses offering services to resellers.
  • My AI Front Desk is all about ease: super-fast setup, white-label option for agencies, and deep Zapier ties for custom workflows on a budget.

Ideal Use Cases by Business Type

  1. Busy Medium Enterprises: RingCentral AI or Synthflow AI—for parallel call handling and deep integrations.
  2. Solo or Micro Businesses: OpenPhone Sona or My AI Front Desk—simple, affordable, and ready to use in minutes.
  3. Healthcare or Legal: Virtual Reception AI or Smith.ai—for compliance support and bilingual capabilities.
  4. Sales-Centric Firms: Handshake—automated lead nurturing and qualification on autopilot.
  5. Technology-First Innovators: Synthflow AI—to tinker, clone voices, or build complex automations.
For most businesses upgrading in 2025, picking the right AI voice platform comes down to matching call volume, integration needs, and compliance with budget—not just flashy features.

If you’re just starting out, try the free trials wherever you can. Nothing beats actually calling your own business and hearing what your customers will experience firsthand. Each one has its quirks, so get your hands dirty and pick the one that actually makes your life easier, not harder.

Training and Customizing Your AI Receptionist

AI robot receptionist greeting visitor in modern office lobby.

Setting up your AI-powered receptionist isn't just a matter of flipping a switch. To really make it useful, you need to train and customize it to speak your brand's language, follow your business rules, and handle all the weird little customer situations that come your way. Here’s how you can approach it:

Onboarding Processes and Knowledge Bases

The foundation of any good AI receptionist is a thorough onboarding process. Start by building its knowledge base, which will help it answer common questions and keep things consistent. Here are the key steps:

  • Upload your FAQs: These are the questions your team hears every day. Feeding them in means customers will get the same answers, every time.
  • Add service descriptions and pricing sheets, so the AI always has accurate details to share.
  • Include your policies—returns, cancellations, emergency contacts, whatever matters to your customers.
  • Regularly review and update the knowledge base as your business or offerings change.
Building a detailed and well-structured knowledge base upfront will save you headaches later—your AI can’t answer what it doesn’t know.

Teaching for Brand-Specific Interactions

You want the AI to sound like you, not a generic robot. This bit is all about making sure every call feels ‘on-brand’:

  1. Set your preferred greeting and sign-off phrases.
  2. Define your brand voice: formal, friendly, quirky, or straight-to-the-point? Tell your AI what you want.
  3. Provide examples of answers you love—and those you never want to hear again.
  4. Create rules for tricky conversations: complaints, refunds, escalating to real staff, etc.

Training your AI receptionist to use your unique language and tone turns every interaction into a reflection of your brand.

Continuous Improvement with Feedback Loops

No AI gets it perfect from day one. That’s where feedback and iteration come in. The smartest businesses:

  • Collect call transcripts and listen for weak spots where the AI stumbles.
  • Regularly update scripts and policies based on real customer feedback.
  • Schedule monthly or quarterly reviews to roll out improvements.
  • Empower staff to flag oddball cases for the AI to learn from.

Training and customizing your AI receptionist requires some upfront work, but over time it gets much easier. Stay on top of updates and keep feedback flowing, and your virtual receptionist will only get better at representing your business and keeping customers happy.

Security, Compliance, and Privacy Measures

When it comes to AI-powered receptionists, keeping customer information safe isn't just good practice—it's non-negotiable. Modern platforms rely on encryption for calls, messages, and stored data, reducing risk from hackers and leaks. Access restrictions make sure only the right people have eyes on sensitive details. Regular audits and automatic updates help plug security gaps before they become problems.

How Voice API Providers Secure Data

Pro tip: Always check a platform's security certifications before you sign up—with SOC 2, ISO 27001, or similar, you know they're serious about security.

If customer trust is part of your business appeal, make sure your AI receptionist aligns with your values on privacy. A misstep here could mean big trouble and even bigger headaches down the road.

Complying with laws isn't optional. Healthcare practices need HIPAA-compliant APIs; companies interacting with European residents must honor GDPR rules. This means data handling isn't just about security—it's also about following strict guidelines for collecting, sharing, and deleting information.

Companies should look for:

  • GDPR compliance for any European customer data.
  • HIPAA compliance for handling medical or health info.
  • Routine third-party audits demonstrating up-to-date practices.

Failure to meet these can result in penalties, lawsuits, or bans from entire markets.

Not everyone in your organization should have the keys to the castle. Authentication and access control features help prevent both internal and external data breaches.

  1. Multi-factor authentication for staff.
  2. Password management requirements (length, complexity).
  3. Admin dashboards for controlling permissions by role or team.

Whether your business runs in finance, healthcare, or retail, managing who can do what is a top priority.

Locking down credentials and access rights isn't just about technology—it's a mindset that keeps your business and your customers out of harm’s way.

Keeping your information safe and private is important to us. We follow strong security rules and always check to stay up to date with the latest standards. Want to learn more about how we protect your data? Visit our website today!

Final Thoughts: Picking the Right Voice API for Your AI Receptionist

Choosing the best voice API for your AI-powered receptionist really comes down to what your business needs most. Some platforms shine with easy setup and simple pricing, while others offer deep customization and advanced integrations. If you’re a small business, you might want something that just works out of the box and doesn’t break the bank. Bigger companies may need more control, analytics, or compliance features. Either way, the good news is that the technology has come a long way—most modern solutions sound natural, handle calls quickly, and can work with your existing tools. Before you decide, think about your call volume, the types of questions your customers ask, and how much you want to automate. Try a few demos if you can. At the end of the day, the right AI receptionist should make your life easier, help you catch more leads, and keep your customers happy—without making things complicated.

Frequently Asked Questions

What is an AI-powered receptionist?

An AI-powered receptionist is a virtual assistant that answers calls, handles questions, and can book appointments for your business. It uses artificial intelligence to talk and respond just like a real person, so your customers get help any time—day or night.

How hard is it to set up an AI receptionist?

Setting up an AI receptionist is usually quick and simple. Most platforms let you get started in just a few minutes. You just need to enter some details about your business, connect your phone system, and the AI is ready to take calls.

Can an AI receptionist handle more than one call at a time?

Yes! One of the biggest benefits is that AI receptionists can answer many calls at once. You never have to worry about customers getting a busy signal, even during your busiest hours.

Does an AI receptionist speak different languages?

Many AI receptionist platforms support multiple languages. This means your business can help customers from different backgrounds and in different countries without any trouble.

Will my AI receptionist work with my calendar or CRM?

Most modern AI voice APIs connect easily with tools like calendars and CRMs. This lets the AI schedule appointments, update contacts, and even send reminders without you lifting a finger.

Is my customer data safe with an AI receptionist?

Good AI receptionist services use strong security to protect your data. They often follow rules like HIPAA or GDPR to make sure customer information stays private and safe.

How much does an AI receptionist cost?

Prices can vary. Some services charge a monthly fee, while others bill you per call or minute. There are options for both small businesses and big companies, so you can find something that fits your budget.

Can I try an AI receptionist before paying?

Yes, many platforms offer a free trial so you can test the AI receptionist and see if it works for your business before you decide to buy.

Try Our AI Receptionist Today

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