Every quoting tool has to solve the same problem: get the applicant’s data to the carrier and get a premium back. Comparative raters and commercial quoting platforms mostly do this through connections the carrier has agreed to support. AI quoting agents mostly do it through the same carrier portals your CSRs log into. That one difference explains most of the strengths and limits of each approach.
How raters and quoting platforms get a quote
Personal lines raters connect to carriers in a few ways:
- Real-time rating. The rater sends the risk to the carrier’s rating system and gets a premium back. Vertafore describes PL Rating’s real-time connections to over 300 carriers. ITC sets a minimum response time for carriers returning real-time rates in TurboRater.
- Rater-held rates. ITC also describes a “manufactured rating method,” where the rater calculates the premium itself from the carrier’s rating information.
- Automated portal entry. Applied says Applied Rater works by automating the entry of required data into the insurer’s own website.
Small commercial platforms work on the same idea, with a heavier question set:
- Tarmika Bridge is described as an API-based, single-entry tool for quoting directly appointed and market access carriers. Applied’s brochure says it has over 35 commercial markets integrated via Ivans/IDP.
- Semsee was described at its 2019 pilot as combining robotic process automation (RPA) with API connections, plus a database of more than 4,000 carrier questions that it merges into one form.
So the line between “API” and “portal” was blurry before AI arrived.
What the carrier connection gives you: the carrier has agreed to the data exchange, and the question set is mapped in advance. When a carrier is connected, results tend to be consistent. When it isn’t, the tool can’t quote it.
How an AI agent gets a quote
An AI quoting agent works the carrier’s agent portal the way a person would. It logs in with agency credentials, reads each screen, answers the questions from the data it has, and returns the quote. Because it reads the page instead of a pre-built mapping, it can in principle reach any carrier you can log into.
Products take different positions on how much the software does on its own:
- SuperAgent AI describes its “Quoting AI Agent” as collecting customer information, navigating carrier rating engines and delivering bindable quotes on its own. Its global launch was set for February 11, 2026. Accuracy and speed figures come from the vendor and haven’t been independently tested.
- Gaya is a Chrome and Edge browser extension. Staff “Super Copy” data from documents, an AMS, a rater or a carrier portal, then “Super Paste” it into another portal’s fields. A person stays at the keyboard. As of October 2026, Gaya’s site lists fully autonomous portal agents as “coming soon.”
Side by side
| Rater or quoting platform | AI agent on carrier portals | |
|---|---|---|
| Path to carrier | Real-time rating, API, or pre-mapped automation | Carrier’s own agent portal |
| Carrier coverage | Only carriers the vendor has connected | Any carrier your agency can log into, in principle |
| Questions asked | Standardized set, often reduced | The carrier’s full portal question set |
| When a carrier changes | Vendor updates the mapping | Agent must adapt to the new screen |
| Speed | Several carriers from one entry | Depends on each portal’s speed |
| Best fit | High-volume, standard risks | Carriers or classes your rater doesn’t cover |
Where each one breaks
Raters and APIs break at the edges of the connection.
- The carrier you need isn’t connected, or isn’t real-time in your state.
- A reduced question set gets an indication, then the carrier asks more at bind and the premium moves.
- The class or risk is outside what the carrier exposes through the API. Unusual classes, E&S risks and larger accounts may still need a portal or an underwriter.
- The bridge from the rater to the carrier portal drops or re-asks data.
AI agents break on the portal itself.
- The carrier redesigns a page, adds a field or changes a question.
- Login steps such as multi-factor authentication need a person.
- An underwriting question doesn’t match the data on file, and the agent guesses or picks a default. On an application, a wrong answer to an eligibility question is a misrepresentation risk, not just a typo.
- The portal is slow or times out.
- The agent finishes, but nobody can see which answers it gave. Without a record, you can’t defend the submission later.
Neither approach fixes bad intake. If the applicant’s operations description or prior losses are wrong, both will quote the wrong risk faster.
Questions to ask in a demo
Bring two or three real submissions, including one with a “yes” answer.
For any quoting tool
- Which of my appointed carriers can you quote in my states, for which lines? Put it in writing.
- Is each carrier real-time, API, automated portal entry, or not supported?
- Show me a quote, then show me the same risk on the carrier’s portal. Do the premiums match?
- What do I re-enter at bind?
- What flows back into my AMS?
For AI agents specifically
- Show me the full log of every question and every answer the agent gave on one quote.
- What does the agent do when it’s unsure of an answer: stop, ask a person, or pick a default?
- Which steps require a person to review before submission? Can I require review on every quote?
- How do you handle multi-factor authentication?
- When a carrier changes its portal, how long until you’ve fixed it, and how will I know?
- Where are my carrier credentials stored, who at your company can access them, and can I revoke them instantly?
- Do you have a SOC 2 Type II report I can read? (Gaya, for example, says it holds SOC 2 Type II.)
- Does the agent submit or bind anything without a person clicking the final button?
E&O and security considerations
AI doesn’t move the professional responsibility. The application, and any coverage advice built on it, is still the agency’s work.
Trade guidance points the same way. An IA Magazine article from Swiss Re’s Jim Redeker (June 2024) recommends keeping a person reviewing alongside the AI, testing the tool against your current process before relying on it, and making sure the vendor contract spells out what the tool is responsible for checking. A November 2025 IA Magazine piece adds that AI vendor contracts may cap the vendor’s liability at roughly six to 12 months of fees, so an agency could face a large E&O claim while recovering little from the vendor. It also recommends a written policy on which AI tools staff may use.
Practical steps:
- Read the vendor contract for indemnification and liability caps, ideally with your own counsel.
- Check your carrier agreements and portal terms of use for limits on credential sharing or automated access. Ask the carrier’s marketing rep if the terms are unclear.
- Use separate credentials for any automated tool where the carrier allows it, so its activity is traceable and you can shut it off without locking out staff.
- Keep the log. Save the questions and answers submitted on each quote in the client file.
- Require human review of every application answer before bind, at least until you’ve compared the tool’s results with your staff’s for a few months.
- Tell your E&O carrier what you’re using, and ask whether your policy responds to errors made by AI tools.
Which one fits your book
| If your book is mostly… | Start with |
|---|---|
| Standard personal auto and home with well-connected carriers | A comparative rater |
| Small commercial BOP, GL and WC with carriers on a platform | A commercial quoting platform such as Tarmika Bridge or Semsee |
| Carriers or classes your rater or platform doesn’t reach | An AI agent or portal-autofill tool, with human review |
| Heavy re-keying from PDFs, ACORD forms or emails | A data-capture tool that fills portals, with a person submitting |
Many agencies will use both. Either way, run your own submissions, compare results to the carrier’s portal, and make sure you can see every answer sent in your name.
Sources
- Vertafore PL Rating datasheet (2026, PDF)
- ITC for Carriers: TurboRater
- Applied Rater brochure (PDF)
- Tarmika Bridge brochure, Applied Systems (PDF)
- Coverager: Tarmika partners with SIAA as preferred commercial lines quoting vendor
- Life Insurance International: Semsee pilot (August 2019)
- Coverager: SUPERAGENT AI launches quoting AI agent
- Gaya homepage
- IA Magazine: Integrating AI While Avoiding E&O Claims (June 2024)
- IA Magazine: Preventing E&O Exposures as Insurance Agencies Turn to AI (November 2025)