WYnova

AI for insurance: claims handled with human validation

WYnova applies artificial intelligence in insurance to prepare decisions on simple claims and flag signs of fraud, while the final decision, and its audit trail, remain with the claims handler.

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Common challenges in the sector

  • Claim notifications and documents analysed by hand, step by step.

  • Fraud is difficult to detect without a model that cross-checks the data for each claim.

  • Customers left without a response while the claim awaits analysis.

Claims handling using AI and human validation

  • Challenge

    Speed up the decision on each claim without losing technical rigour or compliance with the policy terms.

  • Proposed approach

    The customer submits documents and photographs. AI extracts the information, checks it against the policy terms, flags signs of fraud and prepares the proposed decision. A claims handler validates each decision, which is recorded in the audit trail.

  • Expected result

    Faster decisions on simple claims and suspicious cases referred for analysis, with each decision traceable to the source documents.

Technical areas: GenAI, OCR · Parsing, Rules, Human validation

Other sectors

Case studies

SAPO, MediaAI content recommendation and categorisation: 90% accuracy.Auchan, RetailAI-automated promotional leaflets: +25% monthly savings.QNB, BankingRequirements process redesigned across IT, Business and Product.

WYnova services

Forward Deployed EngineeringAI engineers in your operationsWorkflow AutomationAI process automationAI Solution BuilderCustom-built AI solutions

What share of your claims follows a simple pattern?

In a 30-minute meeting, WYnova assesses which types of claim AI can prepare for decision, with validation by a claims handler.