How to Choose an AI Receptionist for Your Business

I built an AI receptionist. I'm going to tell you how to choose one — including why you might not choose mine.

Most guides like this are disguised sales pitches. "Here are 10 things to look for, and wouldn't you know it, our product has all 10." I'll try to be more honest than that. Some businesses should get an AI receptionist. Some shouldn't. Some should get a human service. Some should just let calls go to voicemail and call people back. It depends.

Here's how I'd think about it if I were starting from scratch today.

Step 1: Figure Out If You Actually Need One

Before comparing vendors, ask yourself: what problem am I solving?

If you're missing calls because you're busy with patients, on job sites, or running a register — yes, you need something. Those missed calls are lost revenue. Not maybe. Definitely. Studies show 72% of unanswered callers don't leave voicemails, and over half call the next business on the list.

If you're answering every call within three rings and have zero complaints about your phone experience — you don't have a problem to solve. Don't buy software for a problem you don't have.

The honest truth: an AI receptionist isn't better than a good human receptionist. It's better than no receptionist. It's better than voicemail. It's better than the phone ringing out. If you already have good phone coverage, this isn't for you.

Step 2: Know What You're Paying For

AI receptionist pricing is all over the place. I've seen everything from $29/month to $500/month for essentially the same thing — a voice bot that answers calls.

Here's what drives the price:

Ask for the full monthly cost including everything you need. Not the teaser rate.

Step 3: Test the Latency Yourself

This is the thing vendors don't want you to test. Latency — how long between the caller finishing a sentence and the AI responding.

Under 1 second feels natural. 1-2 seconds feels a little slow but tolerable. Over 2 seconds feels like talking to someone on a bad Zoom call. Over 3 seconds and callers start asking "Are you still there?"

Every vendor will tell you their latency is "sub-second" or "human-like." Don't believe them. Call their demo number. Have a real conversation. Ask a follow-up question. See how it feels.

If they don't have a demo number you can call — that's a red flag. If the demo sounds robotic or takes forever to respond, that's what your customers will experience.

Step 4: Ask About Hallucinations

This is the question nobody asks and everybody should.

AI receptionists are powered by LLMs. LLMs hallucinate. That means they'll sometimes make up answers that sound confident but are completely wrong. A caller asks "Do you take Medicare?" and the AI says "Yes, we accept Medicare and Medicaid" — even though you don't.

Ask the vendor: "How do you handle questions the AI doesn't know the answer to?"

Good answer: "We ground every response in a knowledge base you provide. If the answer isn't there, it says it doesn't know and takes a message."

Bad answer: "Our AI is trained on your business data so it always knows the answer." (It doesn't. It can't. It's a language model, not a database.)

This matters more than voice quality. A natural-sounding agent that lies to your callers is worse than a robotic one that tells the truth.

Step 5: Check What Happens When It Breaks

AI agents go down. Servers crash. APIs rate-limit. Twilio has outages. The LLM provider has a bad day.

Ask: "What happens when the AI is down?"

The right answer is: calls fall back to voicemail or forward to your cell. The wrong answer is: "We have 99.9% uptime." Nobody has 99.9% uptime with AI voice. Things break. The question is what happens when they do.

Also ask: "Do I get notified when the AI is down?" Some vendors will let your agent be broken for hours without telling you. You find out from a customer who says "I called and got a weird message." That's a bad way to find out.

Step 6: Read the Contract Terms

Things to check before signing:

If the salesperson can't answer these questions clearly, that's a sign. You should be able to understand your contract without a lawyer.

Step 7: Start Small

Don't roll out an AI receptionist to your entire call volume on day one. Start with after-hours only. Or weekends only. Or just overflow — calls that would normally go to voicemail.

Listen to the first 20 calls. See what the AI gets right and what it gets wrong. Fix the knowledge base. Then expand.

Any vendor that pushes you to go live on all calls immediately is optimizing for their revenue, not your outcome. A good vendor will encourage you to start small. They know their product works — they're not afraid of a gradual rollout.

What I'd Avoid

A few things I'd be cautious about, from the inside:

The Bottom Line

Choosing an AI receptionist comes down to three things: does it answer fast, does it answer honestly, and does it fail gracefully.

Fast means sub-2-second latency. Honest means grounded in your knowledge base with a fallback for unknowns. Graceful means voicemail or forwarding when the AI is down.

If a product does all three at a price you can justify, get it. If it doesn't — keep looking. There are more options every month, and the good ones are getting cheaper.

I'm not going to link to Clara at the end of this. That would make me a hypocrite. If you want to check it out, it's on the homepage. But the point of this guide is to help you choose the right tool — whether that's mine or someone else's or none at all.

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