A claims automation solution that’s easy to integrate reads, extracts, verifies and cross-references claims evidence and policy data, then makes an informed recommendation

How works


Natural language processing (NLP) and patented optical character recognition (OCR) technology, optimised for claims, can extracts all relevant information from any type of document. From PDFs, to images to freeform notes - even if it is in handwritten Japanese - can understand it.

Enrichment validates claims, checks for fraud, reduces waste or abuse, and identifies outliers. It refines and improves customer data by up to 300% with GDPR-compliant external information.

Policy checking

Natural language processing algorithms immediately contextualise relevant data, then validate it against the policy contracts and schedules to check if the claim is covered under the customer’s specific policy. Limits, excesses, inclusions and exclusions are automatically calculated.


Deep learning algorithms use your claim handling philosophy to deliver the best possible outcome for the insurer and customer, with 98% accuracy. Claims handlers can focus on complex claims that require a human touch and high levels of expertise.

Customer Experience | The Claim Handler’s Perspective

Welcome to our research report, “Customer Experience: The Claim Handler’s Perspective.” This report provides direct insights into the insurance claims... Read More