QBE Insurance, one of the largest global insurers with roots dating to 1886, processes enormous volumes of claim forms and invoices across its worldwide operations. In Property & Casualty insurance, claims volume spikes unpredictably following weather events, disasters, and other loss events — placing acute pressure on back-office document workflows. Manual processing of these documents was slow, labor-intensive, and created bottlenecks that delayed claim payouts to policyholders at their most vulnerable moments. For an insurer competing on customer experience, extended processing cycles represented both an operational liability and a reputational risk.
QBE partnered with Hyperscience to deploy an intelligent document processing (IDP) platform built on a hybrid model that combines NLP-driven AI with structured human-in-the-loop review. The Hyperscience platform applies natural language processing to extract, classify, and validate data from unstructured claim forms and invoices — document types that vary significantly in format and complexity across QBE's global book of business. Rather than replacing human judgment entirely, the system routes low-confidence extractions for human review while automating high-confidence cases at scale. This approach allowed QBE to integrate the solution into existing claims workflows without overhauling core systems, maintaining accuracy and compliance controls while dramatically accelerating throughput.
The implementation delivered an 80% reduction in claim processing time, with documents now processed in just 20% of the time previously required manually — a result confirmed by Jim Kinzie, QBE's Global Claims Transformation Lead. Key outcomes include:
The speed gains translated directly into measurable customer experience improvements, with policyholders receiving resolutions faster during high-stress loss events.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →