Insurance AI automation for the reading your best people do.

Insurance AI automation is software that does the reading and judgement-heavy work at an agency: comparing policies and quotes, reviewing accounts for coverage gaps, checking contracts for insurance requirements, and answering questions from carrier manuals. Workflow automation moves information between systems; AI automation reads and assesses documents. The AI prepares findings with the source language quoted, and a licensed agent decides what to tell the client.

Tasks that require reading and comparing documents: policy and quote comparison, endorsement and exclusion review, coverage gap and cross-sell identification across an account or a book, contract insurance-requirement checks, claim denial review against the policy, and questions over carrier underwriting manuals. Until recently these needed an experienced person's full attention from the first page. Now the AI does the first read, and the person checks it and decides.

It can, though much of this work does not need it. Policy comparison, gap review and contract checks run on the PDFs your agency already pulls from carriers or the AMS. Where a direct connection helps, for example to pull documents for a whole book, we connect where your AMS offers an API or a reliable export, and confirm API access, plan tier and partner requirements during scoping. ProducerHQ works from uploaded documents, so there is nothing to integrate to start.

There are two routes. ProducerHQ pricing is scoped per agency on a demo call, around seat count and monthly volume, and there is a free trial. A custom build starts with our free AI audit, which ends with a scoped estimate. Builds are fixed-price against that scope, with a flat monthly fee for hosting, monitoring, model and API costs. Cost moves with the document types and lines of business in scope and your volume. Our pricing page has the detail.

Yes, with a licensed agent reviewing the output. AI can compare an expiring policy against the renewal and competing quotes, flag changes in forms, limits and exclusions, and review the account for cross-sell gaps such as a missing umbrella or low UM/UIM limits. Each finding quotes the policy language, and the agent decides what to recommend. ProducerHQ does this as a product, and we build it custom when an agency's process calls for it.

Return comes from senior staff time spent reading, from gaps found before a claim instead of after, and from cross-sell opportunities that would otherwise go unreviewed. Each analysis is also documented for your E&O file. How much depends on your book size, your lines of business and how much review happens today. The free audit looks at your current process first, so any estimate uses your agency's numbers.

A custom build usually goes live in two to three weeks from a defined scope. Work across many document types or lines of business takes longer, which is why we scope before we quote. We start with one task, such as comparison or contract checks, and test it on your own policies before adding more. ProducerHQ needs no build, and there is a free trial.

No. The AI does the first read of long documents, and licensed agents make the recommendations and have the client conversations. It does not make coverage determinations either; the carrier does. What changes is that your experienced people spend their time on the judgement instead of hunting for the page it depends on.

It is built to keep policy and client data contained. Documents are encrypted in transit and at rest and stored in your agency's account where possible, access is limited to the people and workflows that need it, and every analysis is logged. We never train models on your data, and you keep the source code of a custom build. Obligations under state insurance data security rules and privacy law stay with your agency, so we document our controls for your compliance owner to sign off.