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Cost of Manual Work — Insurance Claims Operations
See what repetitive manual work is costing Insurance Claims Operations teams each year — where first Notice of Loss (FNOL) routing is a guessing game — calls and digital intake hit a generic queue, then bounce between adjusters who shouldn't have caught the file in the first place, adding 2-4 days of cycle time before any actual work happens.
What this means for Insurance Claims Operations
- First Notice of Loss (FNOL) routing is a guessing game — calls and digital intake hit a generic queue, then bounce between adjusters who shouldn't have caught the file in the first place, adding 2-4 days of cycle time before any actual work happens.
- Claim cycle time is regressing — total severity, salvage decisions, and settlement turnaround have all drifted in the wrong direction since 2022 and leadership can't tell whether it's catastrophe load, talent attrition, or workflow rot.
- Fraud detection is rules-based and the rules haven't been retuned in three years — SIU is buried in false positives while organized fraud rings keep clearing low-severity thresholds undetected.
Where it pays to act
- AI-driven FNOL triage and routing — severity prediction, complexity scoring, and adjuster-skill matching at intake instead of generic queue assignment, compressing 2-4 days off the front end.
- Computer vision for auto and property damage estimation — photo-based damage assessment that produces a defensible first estimate before the adjuster touches the file.
Adjust the inputs to match your Insurance Claims Operations team.
What manual work costs you
Annual cost
₹6.6 L
People-weeks / year
33
Recoverable via automation
₹4.62 L
Payback
7.8 mo
What this means
Insurance Claims Operations teams lose 33 people-weeks a year to this work — about ₹6.6 L. Automating the routine ~70% recovers ₹4.62 L a year.
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Cost of manual work — summary
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