ALL INSURANCE AGENCIES USE CASES

Policy questions answered from your own documents

'Am I covered if a contractor gets hurt on my property?' is a twenty-minute answer the old way: find the policy PDF, dig through exclusions, draft a careful reply. The assistant reads the client's actual policy documents and drafts an accurate, properly-caveated answer with the relevant language quoted — for the agent to approve, not to bypass.

A Day With This Running.

An illustrative walkthrough, not a customer case study. Actual behavior depends on your tools, data, review rules, and implementation.

1
The question comes in

A homeowner emails about contractor liability before a renovation. The CSR asks the assistant instead of opening a 60-page PDF.

2
The policy gets read — all of it

The assistant reads that client's actual policy — declarations, forms, endorsements, exclusions — and finds the sections that answer the question.

3
The draft answer quotes its sources

A plain-English draft with the policy language cited — including the caveat about the endorsement that changes the picture. The CSR verifies against the quoted text in seconds.

4
An agent approves; the client gets certainty

An accurate answer in minutes instead of 'let me research and call you back.' The client's confidence in the agency goes up with every fast, precise reply.

What You Could Measure.

These are hypothetical before/after examples, not measured results or performance guarantees. Establish your baseline and test realistic targets in a pilot.

Time per policy question

▸Before: 20–40 minutes of PDF digging

▸After: 2–5 minutes, sources quoted

Answer accuracy

▸Before: Memory-based, occasionally wrong

▸After: Grounded in the actual policy text, verified by a human

Inbox backlog of coverage questions

▸Before: Days deep in busy weeks

▸After: Cleared daily

Illustrative potential impact: CSRs answer in minutes with the policy language in front of them, and nothing goes out unreviewed.

Simpler Than You'd Think.

Scope integrations, training, and approval before anything goes live. Here are the starting points to discuss:

  • ▸We index your policy documents — they stay in your systems; the assistant reads, never moves them.
  • ▸We set the caveat standards with your agents so drafts are appropriately careful.
  • ▸The rule is structural: every answer is a draft until a licensed human approves it.
PRIVATE & SELF-HOSTED AI
Design for the data boundaries you need

We can evaluate private, local, self-hosted, or hybrid deployment for this workflow. Before implementation, agree on data flows, access controls, retention, backups, and any external integrations. Private hosting alone does not guarantee privacy or regulatory compliance. Learn more about Private AI →

Want this running in your business?

Tell us a bit about your business and we'll come back with honest, plain-English ideas about whether this fits — and what it would take. No jargon. No pressure. No obligation.

No jargon, no obligation — just a conversation.