Straight-Through Processing vs Exception Control
Build continuous anomaly detection into straight-through workflows so claims exit automation dynamically when material exceptions emerge mid-process.
CyberTRIZ analysis · Insurance contradiction CL007 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Straight-through processing allows eligible claims to move from notification through validation and settlement with minimal manual intervention. This can dramatically reduce cycle time and handling expense. However, claims that appear routine can contain unusual characteristics that require review. Applying overly restrictive eligibility criteria reduces automation benefits, while broad criteria can allow exceptions to pass without sufficient control.
Insurance TRIZ Resolution
Straight-through processing can incorporate continuous exception detection rather than relying solely on initial eligibility. Claims enter automated pathways when predefined conditions are satisfied, but changes in information, severity, behavior, or confidence can interrupt automation and trigger human review. Cases can also return to automated processing once the exception has been resolved.
Applicable TRIZ Principles
Principle 15 – Dynamics allows claims to move between automated and manual pathways as conditions change.
Principle 23 – Feedback continuously evaluates claim information for emerging exceptions.
Principle 11 – Beforehand Cushioning establishes safeguards that interrupt automated payment when material anomalies appear.
Expected Outcome
Higher straight-through processing rates
Stronger exception control
Faster routine settlements
Reduced inappropriate automated payments
Decision Indicators
Early indicators that this contradiction is limiting claims performance include:
Automation eligibility remains unnecessarily narrow.
Automated claims generate increasing post-payment corrections.
Claims cannot exit an automated workflow when new complexity appears.
Manual reviews are added broadly after isolated automation failures.
Exception rules generate excessive false positives.
Monitoring these indicators helps insurers maximize straight-through processing while retaining control over claims that stop behaving predictably.