
Sonant and Smith.ai both answer calls your team can't reach, but they are different products. Smith.ai is a human-staffed virtual receptionist and answering service that takes messages, books appointments, and routes calls across many industries; Sonant is an AI receptionist built specifically for P&C insurance agencies that connects to your agency management system, resolves routine requests on the call, and logs a note to the client record afterward. If you're searching Sonant vs Smith.ai for insurance, the real question is whether you want general message-taking coverage or insurance-specific call resolution that writes back to your AMS. This post compares the two on the categories that decide it: hours, concurrency, AMS write-back, cost model, insurance training, escalation, and compliance.
Key Takeaways
- Smith.ai is a human virtual receptionist and answering service; Sonant is an AI receptionist purpose-built for P&C insurance agencies.
- The deciding difference is depth: Sonant connects to your AMS (EZLynx, Applied Epic, AMS360, HawkSoft) and can resolve routine requests on the spot, while a general answering service is stronger at message-taking than at insurance-specific tasks.
- Sonant answers 24/7 and handles many calls at the same time; human-staffed services are limited by how many agents are on shift.
- Both should escalate anything requiring a licensed decision to your staff - the difference is whether the routine 60-80% is resolved before it reaches your team.
- Compare on your own numbers: after-hours volume, Spanish-speaking callers, and how much manual AMS documentation your team does today.
Sonant vs Smith.ai for insurance agencies: which fits your book?
The honest answer is that they solve overlapping but different problems. If all you need is a friendly human to take a message and forward it, a virtual receptionist service does that well. If you want the routine calls (payments, ID cards, certificate requests, address changes, after-hours claims intake) actually handled and documented, you want an AI receptionist for insurance agencies that is trained on insurance workflows and connected to your AMS. Sonant is built for that second job. The distinction matters most for agencies drowning in service calls, where message-taking alone just moves the work to tomorrow morning.
A general answering service treats an insurance call like any other call: it captures who called and why, then hands it back to you. Sonant treats it as an insurance transaction: it can verify the caller against AMS data, detect the carrier, and text the matching payment link. That is why we frame it less as answering service versus virtual assistant and more as resolution versus relay. For a fuller breakdown of that split, see our comparison of an AI receptionist versus a traditional answering service.
Not sure which one your call volume actually needs? → Talk to Sonant
Sonant vs Smith.ai: capability comparison
Here is the side-by-side on the categories agencies ask about most. We compare Smith.ai only on capability categories, using its publicly known model as a human-staffed virtual receptionist and answering service.

The row agencies underweight is AMS write-back. After a Sonant call ends, a note lands on the client record (who called, what they wanted, and the transcript) and a task is assigned, with no manual typing. That's the difference between a message you still have to process and a call that's already documented. If AMS notes are where your team loses time, read how AI call notes get logged to your AMS automatically.
What to evaluate before you choose
Comparing vendors on marketing pages is a trap. Evaluate on the categories that map to your actual workload, and verify the compliance claims yourself rather than taking either vendor's word.
- Security and data handling. Any tool touching client policy data should describe how it verifies callers and where data lives. Ask both vendors for a current SOC 2 report and read the framework so you know what it covers - the AICPA SOC 2 framework is the reference. Sonant verifies identity against AMS data before sharing anything; see caller verification and our SOC 2 notes for agencies.
- AI governance. If you're adopting AI answering, know your state's posture. The NAIC model bulletin on the use of AI by insurers is the baseline regulators point to.
- Consumer expectations. Phone remains the channel clients reach for in a moment of stress. The Insurance Information Institute is a useful neutral source on how policyholders interact with agencies.
- Cost model. A per-call or per-minute plan can look cheap until volume spikes; a flat model is easier to forecast. Compare against your real numbers with our AI receptionist cost guide.
How Sonant fits
Sonant is coverage for the calls your team can't reach, not a replacement for your team. It answers 24/7, handles overflow and after-hours volume, takes the routine requests off your queue, and hands anything that needs a licensed decision to a person, with the full transcript attached. Agencies using this hybrid model cut administrative overhead by a large margin because the routine 60-80% of calls get resolved and documented without staff touching them, while judgment calls stay with the people who are licensed to make them. Where a human virtual receptionist still wins is complex empathy. A distraught client after a total loss is a person-to-person moment, and Sonant routes those.
If your agency serves Spanish-speaking clients, Sonant handles the full conversation in Spanish and remembers the caller's language preference next time; see the bilingual AI receptionist breakdown. For where to draw the line between AI and staff, our guide on what AI should handle versus a licensed agent is the honest version. When you're weighing options, the best virtual assistant for insurance overview and AI phone answering for insurance agencies give you the wider field.
Want to see how Sonant handles your routine calls end-to-end? Talk to Sonant →
Related reading
- Best virtual assistant for insurance
- AI receptionist for insurance agencies
- Insurance answering service vs virtual assistant
- AI receptionist vs a traditional answering service
- Sonant vs Ruby Receptionists for insurance agencies
- Does an AI receptionist log call notes to your AMS automatically?
- How much does an AI receptionist cost for an insurance agency?

Founding Account Executive





