Data Integrity Scanner reviews organization data for completeness, consistency, and records that warrant investigation before analysis is used. It warns and informs authorized reviewers; it does not silently change source data or guarantee complete detection.
Examine available records for completeness signals.
Surface items that warrant human investigation.
Keep the originating data context visible.
Require review rather than silently changing source data.
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.
Upload a fee schedule and review its position against available market claim data and relevant differences.
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.