How accurate is Klippa’s claims fraud detection?

Klippa’s fraud detection models identify over 66% of fraudulent documents by flagging anomalies for manual review. Accuracy continues to improve as the models are trained with new data.

How does Klippa handle sensitive personal data in claims?

Klippa redacts and protects sensitive data using automated anonymization technology. Our solutions are GDPR-compliant and designed for privacy-first processing.

How quickly can Klippa flag suspicious claims?

Suspicious claims can be flagged in real time, typically within seconds of document ingestion.

Klippa DocHorizon

Claims Fraud Detection for Insurance Firms

Q: How does Klippa detect fraudulent insurance claims?

Klippa uses AI-powered tools including OCR, computer vision, and machine learning to detect anomalies such as duplicate, forged, or manipulated documents. Our system flags over 66% of fraudulent documents for further review.

Q: Can Klippa verify the authenticity of claims documents?

Yes. Klippa automatically checks the authenticity, accuracy, and completeness of claim documents—without manual work or delays.

Q: What types of insurance claim documents can Klippa process?

Klippa supports ID cards, damage reports, invoices, receipts, and other claim-related documents. Our AI models can be trained to recognize and process your specific document types.

Q: Can Klippa detect duplicate or manipulated documents?

Yes. Klippa uses document forensics to detect signs of tampering, duplication, or image manipulation in real-time.

Q: Does Klippa integrate with my claims management system?

Yes. Klippa can be integrated via API or SDK within 24 hours. Our technical documentation makes implementation fast and flexible.

Q: Can I test Klippa before fully integrating it?

Yes. You can request a free demo or proof of concept to evaluate how Klippa fits your fraud detection workflows before committing.

Quickly spot anomalies, tampering, or inconsistencies in insurance claims with Klippa DocHorizon’s AI-powered document and image analysis.

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CHALLENGES

The Challenges of Claims Fraud Detection

You’re handling more claims than ever, while fraudsters are getting smarter. Traditional fraud detection methods can’t keep up with altered documents, duplicate claims, and photoshopped images. Manual checks slow down your team, increase error rates, and drive up costs. To stay ahead, protect your margins, and meet compliance standards, you need AI-powered tools that bring speed, accuracy, and automation to claims fraud detection.

High volume of claims: Insurance claims fraud can slip through when teams are overloaded with manual work.

Manual review processes: Human checks are slow and prone to oversight especially with AI involved in fraud.

Image & document manipulation: Edited photos with GenAI and fake PDFs are hard to spot without the right tools.

Lack of scalable tools: Traditional solutions can’t adapt to sudden spikes in claims or emerging fraud patterns.

How Klippa DocHorizon Detects Fraud in Insurance Claims

Klippa DocHorizon combines intelligent automation with advanced AI-driven fraud detection to help insurers spot suspicious claims faster. From small claims to large policy payouts, our technology helps your team detect anomalies, reduce false positives, and prevent fraud. Rest easy with improved operational efficiency and enhanced regulatory compliance.

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Fraud Detection Methods Utilized by Klippa

Klippa applies a range of AI techniques to uncover document manipulation, from detecting copy-move edits and altered metadata to spotting duplicates and incomplete files. Watch our short demo video to learn how Klippa helps insurers flag fraud more accurately.

KEY FEATURES

Why Choose Klippa for Claims Fraud Detection

Klippa combines AI technology with user-friendly tools to help insurers detect and prevent fraud more efficiently and accurately. From document verification to anomaly detection, Klippa helps you reduce fraud risks, improve claim handling efficiency, and stay compliant.

AI-based fraud detection
Klippa’s AI models flag suspicious claims and documents automatically, helping you identify over 66% of fraudulent documents.
Document classification
Automatically recognize and sort various claim documents (e.g. ID cards, receipts, invoices, damage reports) for smoother workflows.
Faster fraud reviews
Klippa flags high-risk claims and organizes supporting data to help your team review cases faster and make decisions with confidence.
Seamless integration
With a comprehensive documentation you can integrate Klippa into your solutions via API or SDK within 24 hours.

No code platform
Build custom insurance claims document review workflows and automatically flag for suspicious cases.
20+ formats supported
Process documents in JSON, CSV, PDF, XML, XLS, XLSX, UBL, PNG, TIFF, DOC, DOCX, JPG, and many more.
Multi-page processing
Review long or multi-page claim files such statements, or reports automatically with high speed and efficiency.
Ensured data protection
At Klippa, we ensure that our solutions process files in full compliance with regulatory standards.