TranIntegrity

Coming soon

Agentic AI solution for surfacing fraud, waste, and abuse before payment

Applies pattern detection across claims volume to flag outlier billing behavior, upcoding patterns, and provider-level anomalies for special investigations review.

Scores claims and billing providers on anomaly patterns learned from historical FWA cases, not just static edit rules.

Prioritizes a review queue by estimated dollar exposure, so SIU teams work the highest-impact cases first.

Every flag includes the specific comparison data (peer billing norms, historical pattern) that drove the score, for defensible case-building.

Want to see what's live today? TranReview is fully built and ready to try.

Open TranReview →