Claims Classifier

To achieve an optimal and automated handling of each claim, they should be categorised according to patterns, potentially considering many more dimensions. Since the information about a claim grows with time, a re-classification should be possible. Our ‘Claims Classifier’ prototype allows to implement such AI-based solutions with only little effort within weeks.

Are you asking yourself

How can we reduce the claims in manual processing that could have been processed automatically?
How can we avoid accepting claims that should have been declined in an automated process?
What are the applications of AI to classify your claims?
What technology can we employ in our organization to achieve an optimal and automated handling of claims?

What you will get from us:

Less manual claims processing: only accurate claims are processed manually.
Claims handlers and experts are working on the most remunerative claims.
Claims are re-classified along the processing according to the latest available claims data.
Applications of claims classification includes: Plausibility checks of claims, Identification of high-cost and complex claims, Initiate specific and special processes for certain types of claims automatically, Identification of potential for recourse claims.
Main part of the process is automated. Subsequently, tasks are created which trigger claims handlers action.

Our Approach

Target Process Definition

Define the targets in processing costs and an acceptable level of leakage in claims cost.
Claims Process Mapping

Identify typical claims for manual as well as for automatic processing.
AI System Implementation

Implement an AI System eg. Claims Classifier and train it – both for initial classification and for automatic re-classification along the process.
AI Model Training

Continue training the AI System with live claims while it’s in production to increase accuracy.

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