Solutions catalog
Browse and filter artificial intelligence solutions in the insurance industry.
124 solutions
by Zurich North America (Zurich Insurance Group)
US
Zurich North America, the commercial property and casualty unit of Zurich Insurance Group, uses Convr AI's underwriting tools. Convr's Intake AI applies machine learning and computer vision to process ACORD forms, loss runs and other submission documents, extracting data and filling incomplete or invalid fields from trusted data sources so underwriters can focus on decisions and relationships. The two companies have worked together since 2017, and Zurich Large Casualty recently focused on the automobile line. In December 2025 Zurich announced an expansion to enable all modules of Convr's AI Underwriting solution and to extend extraction, cleansing and enrichment to further lines of business. No metrics were published (vendor press release).
Swiss Re's Life & Health (L&H) claims unit offers its reinsurance clients an AI-powered claims processing ecosystem: a SaaS platform that combines workflow, analytics and document management with external data and covers the L&H claims value chain from digital intake to case management and automated assessment. It uses deterministic expert systems together with generative AI for data extraction and summarisation; combining deterministic and generative models and AI agents was still being prototyped in 2025. The aims are shorter turnaround times and a better claimant experience. Swiss Re reported encouraging early outcomes but no metrics or go-live date. The ecosystem won Gold in Operational Efficiency at the Qorus-NTT DATA Innovation in Insurance Awards 2025.
Tryg's Dokumentassistent is a generative AI tool that summarises medical reports, invoices, correspondence and case notes in accident (personal-injury) claims and arranges the injury history chronologically, to support claims handlers and medical consultants in assessing permanent impairment; it makes no impairment decision itself. It runs on an open-source language model hosted by Tryg and was tested on about 200 closed cases in the first Danish regulatory sandbox for AI (Datatilsynet and Agency for Digital Government; final report October 2025), which addressed purpose compatibility, legal basis (GDPR Art. 6 and 9) and bias checks.
Standard Life launched AI Coach in August 2026, a digital tool that helps customers plan home ownership. It covers saving for a deposit, mortgage readiness and the long-term financial impact of buying a property, linking a customer's liquid assets with their property plans, for first-time buyers as well as homeowners who want to move or remortgage.
ERGO uses chunkx, a start-up from its ScaleHub accelerator, for AI-driven adaptive microlearning. A retrieval-augmented generation architecture turns ERGO's own company knowledge into short personalised learning units delivered through familiar channels such as e-mail and adapted to each learner's progress; content stays tied to ERGO's knowledge and is IDD-compliant. It is used in broker sales, innovation and employee development, reducing the workload of subject-matter experts.
DA Direkt, the German direct insurer of the Zurich group, uses Nexoya's AI to optimise the allocation of its marketing budget across channels. Zurich reports a double-digit sales uplift, all-time sales records within three months and an ROI of about 800%. The solution came out of the Zurich Innovation Championship 2025 and was entered for the Qorus Innovation in Insurance Awards 2026.
COSI is a knowledge assistant of SIGNAL IDUNA that supports sales and back-office staff. According to board member Johannes Rath at a GDV event, 96% of employees use it, about 70% weekly, and the forwarding rate in customer service fell from 27% to 3%. SIGNAL IDUNA also uses AI to route customer requests in its app, where the misrouting rate fell from about 50% to under 8% within two weeks.
KAssis is an in-house generative AI knowledge assistant for claims handlers at Generali Switzerland, built with Generali's Group Data, AI & Automation unit and the House of Insurtech Switzerland. It helps handlers find information quickly, extract key data, flag inconsistencies and suggest possible settlement options. A proof of concept on 50 claims of varying complexity in early 2025 showed measurable productivity gains; the tool is being hardened for production for the Swiss non-life claims teams.
MIA GPT is an internally developed generative AI assistant of MAPFRE Spain for intermediaries and customer service centres. Using GPT-4 with retrieval-augmented generation over more than 1,500 periodically updated documents (products, commercial data, underwriting rules, procedure manuals), it answers questions on coverage and products and attaches the source documents to each answer so staff can verify it. Piloted from January 2024 in 12 offices and an operations centre, it now handles more than 90,000 queries a year with satisfaction above 80%.
Aviva uses generative AI to read medical reports and condense them into short summaries that highlight what underwriters need, roughly halving underwriters' review time per case. The tool launched for individual life insurance applications in November 2025 and was extended to individual critical illness cover in March 2026; income protection is the next focus.
NiQA is an AI-driven digital assistant of UNIQA for claims reporting, documented on UNIQA's Hungarian website. It listens to the customer's description, identifies the damage type and fills in the claim form in the background, verifies incoming information in real time, analyses uploaded photos as they arrive and checks submitted documents, alerting users to missing items. It currently covers burst pipes, water damage and broken glass and is being extended to further roles; trade press names Intuitech as technology partner.
Gjensidige uses machine-learning anti-fraud models in claims in Norway as part of an AI-supported fraud prevention operating model, which produced NOK 71 million in savings; compared with 2022 the number of controlled cases rose by 65% and the hit rate by 40% by 2024. An AI-based forgery detection tool, used in lead handling and by investigators, exposed an AI-generated fraudulent claim document for the first time. Rollout of the fraud models to Denmark is planned; in Denmark an AI tool for recourse assessment raised recourse claims by 9% in 2024.