The Claims Automation Scorecard: What to Measure Before You Buy

Executive summary

Claims automation vendors often lead with extraction accuracy. That matters, but it is not enough. The real question is whether the workflow reaches a clean decision faster without introducing blind spots or rework downstream.

Metrics that actually change the P&L

Processing speed only matters if exception handling stays under control. Teams should measure touchless completion rate, average human review time, and the share of claims that still bounce between systems after extraction.

• End-to-end cycle time by claim type
• Touchless straight-through rate
• Rework rate after manual review
• Fraud escalation quality

Why routing matters as much as extraction

Even accurate extraction can fail commercially if the workflow still hands the case to the wrong queue or misses policy context from connected systems.

The strongest implementations connect policy administration, document intake, communications, and adjudication so adjusters start with a complete case file instead of another inbox.

What a realistic improvement profile looks like

The highest-confidence gains usually come from reducing manual touches, compressing decision windows, and surfacing suspicious claims earlier. Those benefits compound when evidence of insurability and claims intake share the same governance and integration layer.