Financial Services
Your agency holds some of the most sensitive data on your insureds.
Your AI should be built with that in mind.
Insurance agencies move a relentless flow of applications, policies, endorsements, and claims — each one carrying PII, medical disclosures, or financial detail. Public-cloud AI tools aren't the right venue for that data, and regulators are paying attention.
We build private AI inside agencies, so producers and CSRs get modern productivity without routing policyholder data through a third-party model.
The Case
Why in-house AI matters for insurance agencies.
Policyholder PII exposure
Applications contain SSNs, DOBs, medical disclosures, and financial detail. Public AI tools are the wrong venue for that data — GLBA, HIPAA (for health-adjacent lines), and state insurance codes all point the other direction.
Claims confidentiality
Claim files contain medical records, accident details, settlement positions, and attorney correspondence. Keeping them on agency-controlled infrastructure is both a compliance posture and a liability posture.
Carrier relationships
Carrier submission strategies, book-of-business data, and placement history are competitive intelligence. Agencies shouldn't hand that data to a third-party AI vendor for "convenience."
Producer productivity
Producers spend enormous time on routine correspondence and document review. AI assistance is a real lift — but the obstacle has been privacy. Private infrastructure removes the obstacle.
Capabilities
What we build for insurance agencies.
Application review & summarization
Summarize applications and supporting documents for underwriting handoff — with all data staying inside the agency network.
Claims-doc analysis
Extract key facts, flag inconsistencies, and draft internal claim notes from incoming documentation. Processed locally.
Policy & coverage knowledge base
Private RAG over carrier forms, endorsements, and agency procedures — so CSRs and producers get accurate answers fast.
Every agency is different.
Lines of business, AMS platform, and existing workflows all shape what makes sense. We start with a conversation, not a proposal.