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Streamline Claims Handling

Improve client satisfaction and reduce processing cost.
Current Situation

Customer satisfaction increases with the expedited settlement of claims. Insurers ought to balance the automated processing of obviously correct cases with the supervised processing of complex claims and the early detection of fraud before paying out.

Objective:

Provide claims handlers with relevant insights and situational awareness.

How CID can support:
  • Analysis of structured and unstructured claims data, adjuster notes, and related records
  • Situation monitoring leveraging reports and external news
  • Recommendation of and request for relevant documents and information during claim intake and loss assessment
Objective:
How CID can support:

Streamline and automate claims processing.

  • ‍AI-based models for claims processing automation, alerts on critical cases, or fraud detection
  • Combined analysis of structured and unstructured, internal and external data on claims and insureds
  • Seamless integration of AI into business processes and applications, from RPA to delivering actionable insights
Objective:

Reduce and recover cost.

How CID can support:
  • ‍Analytics leverage to prevent additional losses
  • Auto-flagging of claims to evaluate for subrogation
  • Identification of additional subrogation potential (e.g., by matching external product recalls with internal claims descriptions, and adjuster notes
Objective:
How CID can support:
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How CID can support:
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How Insurers Benefit

AI allows to increase automation of claims handling overall, especially by combining the analysis of structured and unstructured data in even more advanced models. The augmentation of manual processes reduces effort and time considerably.

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