FeeAnalyzer reviews an uploaded fee schedule against available market claim data. Teams can use the resulting context to identify questions and discussion areas, while validating assumptions before changing rates.
Upload a fee schedule for analysis.
Review position against available market claim data.
Examine state and service distinctions when supported by the data.
Use findings to prepare a human-led rate discussion.
Ask natural-language rate questions and compare your rate with available market low, average, and high context.
Bring approved carrier activity, rate context, and operating signals into a focused intelligence view for review.
Review catastrophe-event pricing signals to prepare rate discussions when relevant coverage and data are available.
Compare full-assignment fees across claim-value bands using available low, average, high, and sample context.
Compare supported fee tiers with relevant market context, clearly separating observed benchmarks from illustrative examples.
Model volume and rate assumptions to examine potential annual expense impact before changing a fee schedule.
Identify missing, inconsistent, or review-worthy intelligence inputs before relying on a comparison or scenario.