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Brokerage
Scout discovered variations in claims processing for a brokerage giant and unlocked 35% optimization potential with system adoption
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Challenges

The Motor LoB in Madrid & Lisbon faced the following set of challenges:

Due to lack of standardization, both insurance teams in Madrid and Lisbon were handling initial claim reports (FNOL) differently, leading to inconsistencies.

Limited data driven visibility into unified claims platform in Lisbon restricted the ability to further improve claims operations.

  • Teams

FNOL Claims Creation

  • Location
Madrid & Lisbon
  • Key runtime metrics

Effort per Claim

Enter Scout

The AI model revealed insights into the actual processes driving the work.

Scout Insights

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Effort variance

25% effort variance in effort per claim across locations was observed, with Lisbon demonstrating greater efficiency.

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Off platform workload

10% effort in Lisbon was spent on handling policy coverage and client specific procedures outside the unified claims platform.

Runtime metrics

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Recommendations

a 9

Standardize claim operations

Migrate Madrid’s LoB to the unified claims platform used by Lisbon to reduce effort per claim.

a 10

Platform scope expansion

Integrate policy coverage and client specific procedure into the unified claim platform to achieve 10% optimization potential.

Conclusion

Scout identified a potential reduction of 25% in effort per claim and an additional optimization of 10% annually on Motor LoB across two locations by successfully improving platform adoption and reducing system fragmentation.