Zurich Program IQ Qorus-NTT DATA Innovation in Insurance Awards 2026

Concept & Objectives:
Zurich Program IQ was created to support the multinational policy wording issuance process by enabling systematic comparison of master and local policies across an entire program. At its core, the solution uses a Generative AI–driven document extraction pipeline to transform large volumes of unstructured insurance policy PDFs into structured, queryable data. Through intelligent document classification and a parallel document processing, the solution extracts and normalises key limits and deductibles (initially Property NatCat) enabling downstream analytics and discrepancies detection workflows. This structured data foundation enables scalable comparison of master and local policies across countries, formats and languages, allowing Zurich Program IQ to generate actionable insights and flag potential discrepancies that may increase exposure, creating a new AI‑enabled control point in the underwriting lifecycle.

Reasons Behind:
Multinational insurance programs operate across multiple countries with locally issued policies shaped by different regulations, market practices, templates and frequent non‑standard variations, alongside a central master policy. To ensure contract certainty and intended risk transfer, the master policy must be consistently aligned with the local policies issued in each country. In practice, policy wordings vary significantly by country, format and language, and historically there was no scalable way to systematically compare master and local policies without heavy manual effort—leading to increased leakage risk, reduced contract certainty and slower issuance.

State of Competition:
Zurich Program IQ was the first tailored AI solution in the market designed specifically to analyse and compare policy wording across complex multinational insurance programs, identifying sublimit inconsistencies between local and master policies across languages, jurisdictions and large document sets — solving a challenge unique to global programs and enhancing contract certainty for customers. Other major insurers are also applying generative AI to improve how they handle insurance documents and support underwriting, but generally with a more generic focus and less detailed analysis. While Generali’s GlobalTracer also applies generative AI to verify terms and conditions and highlight coverage gaps within multinational programs, it entered the space after Zurich’s launch and represents a competitive continuation rather than an earlier innovation.

Sources of inspiration:
Zurich Program IQ was inspired by the real‑world complexity of managing multinational insurance programs at scale, where master and local policy discrepancies are difficult to detect but critical to address. The initiative draws on deep underwriting expertise, frontline pain points, and advances in GenAI to transform manual, high‑risk checks into proactive, insight‑driven decision support.

Departments / Stakeholders Involved:
Cross‑functional delivery spanning: Group AI, Group Underwriting, Multinational, AI acceleration, CI Ops, Document Management teams

Main results so far: Validated outcomes include a significant amount in mUSD of potential leakage, based on analysis from the first renewal cycle in which Zurich Program IQ has been applied. These early results demonstrate the solution’s ability to surface material risk and represent only the starting point as coverage and adoption expand.