Many insurance agencies start with Gail only to discover they've bought a scripting project instead of a working AI receptionist. Here's what to look for when you need more than just a canvas to build on.
If you work in insurance, you've probably heard the pitch. Every AI receptionist shortlist for agencies opens with Gail. And that's fair - it earned its spot.
But here's where things get interesting.
Around month five, the ops lead looks at the Monday-morning missed-call report and asks the one question that changes everything: "How much of this were we supposed to build ourselves?"
Sometimes the answer is "all of it," and the team digs in. More often though, the agency wanted a working receptionist and got what feels like a scripting canvas instead. That's when the real search for alternatives begins.
### What Makes Agencies Look Elsewhere?
There are three common pain points that push teams to explore other options. First, the setup is entirely self-serve. You're basically building your receptionist from scratch for each agency location. It's not a product you turn on - it's a project you manage.
Second, warm transfers can be frustrating. When they fail, the script often restarts, forcing callers to repeat information they've already given the AI. It defeats the purpose of having a smart assistant in the first place.
Third, the AMS connectivity relies on Zapier rather than direct API connections. Every time your AMS schema changes, your ops team inherits the maintenance work. It's technical debt that grows quietly in the background.
### First, Let's Give Credit Where It's Due
Gail does some things really well. It has strong brand recognition among SMB agencies, a lower entry price than many vertical voice AI solutions, and texting capabilities that shipped early. If your team genuinely wants that blank canvas approach and has the bandwidth to script, test, and maintain workflows? That model absolutely has its place.
But what if you don't?
### Sonant: For Insurance Agencies That Want AI That Works Day One
Sonant completely flips the Gail architecture. Instead of giving you a canvas to build on, it arrives already understanding property and casualty insurance. It connects directly to the AMS you're already running.
Think of it as a lighter deployment, not a lighter product.
Here's what you'll notice within the first quarter:
- It understands insurance terminology, workflows, and compliance requirements right out of the box. No scripting phase, no blank slate. One agency went live in just 17 days. Another hit an 8x return on investment in their first month.
- It owns the complete voice technology stack. Warm transfers actually hold context. Call memory persists across sessions. Account-based routing sends each caller to their assigned CSR through a live AMS lookup. One company reduced manual routing by 90% across 200+ branches.
- It writes to your AMS through native APIs, not third-party connectors. With two-way integrations for major systems, the AI reads records in real time and writes structured tasks back. One agency boosted staff throughput from 70 to 100 tasks daily - a 43% productivity gain.
> Reported results from agencies using Sonant include up to 600% ROI in the first month, 100% call answer rates, and freeing 58+ hours per month per agency.
Best for independent P&C agencies that need a receptionist that actually works from day one.
Less suited for teams that truly enjoy designing everything from a blank slate.
### Cara by Oyster: The Broad AI Assistant Suite
Cara was built with the back office in mind - think ACORD forms, policy comparisons, certificates of insurance. Voice is just one module among several, which works well if you're exploring AI across multiple servicing areas simultaneously. Pricing typically starts with a three-seat minimum.
Best for agencies that want to test AI across several back-office workflows at the same time.
Less ideal when the phone is your absolute priority and seamless warm transfers are non-negotiable.
### Liberate: The Enterprise-Grade Voice AI
Liberate comes from carrier-first DNA and has moved into serving top-100 agencies. It's strong on quoting workflows and offers high-touch implementation support, with pricing structures designed for enterprise buyers who expect consultative rollouts.
Best for larger agencies with 50+ employees and resources for a consulting-heavy implementation.
Less suited for SMB and mid-market independents where fast results matter more than deep customization.
### Making Your Choice
At the end of the day, it comes down to what your agency actually needs. Are you looking for a project or a product? Do you have the internal bandwidth to build and maintain scripts, or do you need something that understands insurance from the moment you turn it on?
The right choice isn't about which tool is objectively best - it's about which one fits how your team actually works. Because the best AI receptionist isn't the one with the most features. It's the one your team will actually use.