Claims Leakage Starts Before The Payout: How Insurers Can Detect Data Issues Before They Hit Loss Ratio

Claims leakage is often treated as a process problem. But in many cases, the root cause appears earlier, inside the data flows that feed claims decisions.

Policy coverage, claims history, third party data, fraud signals, pricing logic, and payment rules all move across different systems, teams, and update cycles. When that data is incomplete, stale, inconsistent, or poorly traced, the issue may not surface until after approval, during manual review, audit, or reconciliation.

By then, the cost is already real.

In this webinar, we will show how insurers can shift from late detection to decision point confidence. You will see how Sifflet helps data, claims, finance, and governance teams identify unreliable data before it affects claims outcomes, understand downstream business impact, and accelerate root cause analysis across complex insurance data stacks.