Meet your AI Agent for Claim to Policy Comparison

Knows the difference

Between a sublimit and an aggregate. A peril and an exclusion. A Schedule A and a manuscript amendment. The kind of insurance distinctions a generic LLM gets wrong half the time, and a coverage attorney would notice in two seconds.

Sublimit vs. Aggregate | Distinguished

Reads the limit stack as a hierarchy — sublimits, per-occurrence caps, and annual aggregates — and applies the right ceiling to the right loss instead of grabbing whichever number appears first.

Peril vs. Exclusion | Resolved

Parses named perils, all-risk language, and exclusion endorsements together so the AI knows what's covered, what's carved out, and what an endorsement restores back in.

Schedule vs. Manuscript | Reconciled

Recognizes when a manuscript amendment supersedes a Schedule A, when both apply, and when neither controls — the distinction that decides whether a claim is covered at all.

Confidence-scored at the field level

Every coverage decision, every applicable exclusion, every cited clause carries its own score. Low-confidence items route to your specialist with the analysis already prepared.

Per-Field Confidence | Calibrated

Every extracted fact — limit, deductible, named insured, effective date — ships with its own calibrated confidence number, not one blunt score for the whole document.

Specialist Auto-Routing | Routed

Low-confidence items don't stall the file. They route to the right specialist with the analysis already prepared and the source paragraph queued up for review.

Operator-Tuned Thresholds | Tuned

Set the bar where your operation needs it: above auto-processes, below routes to human review. Adjust by line of business, claim size, or coverage type.

Cites every finding to the source

X-Ray Mode highlights exactly where in your policy the AI found the language behind each finding — so your reviewer verifies the source in seconds, not minutes.

X-Ray Mode | Traceable

Click any fact in the coverage finding and jump to the exact page, paragraph, and coordinates where the AI sourced it — no manual searching through 80-page policy PDFs.

Citation by Coordinates | Cited

Every extracted value carries its origin — page number, line, and X/Y position on the document — so verification takes seconds, not minutes.

Audit Trail by Default | Defensible

Every coverage finding produces a defensible record: the clause, the policy version, the endorsement stack, and the confidence score behind the decision.