Solutions catalog
Browse and filter artificial intelligence solutions in the insurance industry.
124 solutions
CFC, a London-based specialist insurance provider and MGA, launched Lane Assist in April 2026 as a pilot of agentic underwriting in its Cyber underwriting team. The AI agent reads new-business submissions arriving by email, extracts the data and builds a quote recommendation in seconds, applying CFC's established underwriting rules; it targets low-complexity, high-volume risks. In the pilot, a small number of real submissions are handled in live workflows, and every recommendation is reviewed, checked and approved by an underwriter before anything is issued; CFC reported quoting its first policy this way. No performance results have been published, and a broader roll-out depends on the pilot outcome. The vendor or build approach is not disclosed.
Versicherungskammer, Germany's seventh-largest primary insurer and part of the Sparkassen-Finanzgruppe, replaced its touch-tone (DTMF) phone menu with Spitch's AI Virtual Assistant. Using natural language understanding, the assistant recognises the caller's intent from free speech and routes the call to the right insurance category, such as liability, motor or home insurance. When an agent takes the call, a pop-up shows a keyword or summary of the caller's concern. According to the Spitch case study, misdirected or unselected calls fell from about 40% to 15% (vendor-reported); lower operating costs and shorter waiting times are also claimed, without figures. The go-live date is not stated; the case study page was last updated in February 2026.
R+V Versicherung, one of Germany's largest insurers and part of the cooperative Volksbanken Raiffeisenbanken financial group, runs Emmie, a customer-facing AI chat assistant built on the LoyJoy platform. Emmie is available around the clock for all R+V lines and draws on a network of AI agents that use knowledge from across the company. It gives immediate tips after water damage and routes to the claims form, explains terms such as the motor deductible, starts digital insurance-card orders and calculates pension gaps in the chat. Since October 2026, customers can switch to a live chat with R+V advisers without repeating themselves. LoyJoy reports more than 35,000 dialogues per month, about half outside service hours (vendor-reported). Emmie won the German Brand Award 2026 (Best AI Project of the Year).
R+V Versicherung uses DIRK ("digitaler R+V Kollege"), an internal generative-AI knowledge assistant built on Kauz.ai's no-code aiSuite platform. Piloted from mid-2023 in the internal service (Innendienst), it answers employees' questions on insurance terms and case handling from SharePoint, intranet, Teams and Outlook content, aiming to reduce internal follow-up queries. The system uses retrieval-augmented generation with combined keyword and vector search, a multi-agent set-up that routes questions by topic and can draft and email texts, and several LLMs chosen per use case. Specialist editors review dialogues and maintain content; R+V reports answer quality of 95%. According to an R+V practitioner report of December 2025, the pilot succeeded and department-specific assistants are being rolled out.
Zurich Malaysia launched Z Buddy in July 2025, an AI-powered virtual assistant for its insurance and takaful agents, accessed through WhatsApp. In its initial phase it answers agents' questions on travel and motor insurance/takaful, claims procedures and general product information, including coverage details, with real-time replies around the clock, so agents can respond to customers faster. Planned enhancements include generating motor quotations and guiding agents through tailored customer requests. Zurich Malaysia did not disclose the underlying AI technology or vendor, and no usage figures have been published. The assistant serves the distribution force only, not end customers.
Allianz Partners, the Paris-headquartered assistance and insurance arm of Allianz Group, uses Taktile's platform to run a chain of modular AI agents in health claims processing. Separate agents classify uploaded documents as valid invoices, extract data such as dates, provider details, currency and itemised costs, map treatments to coverage benefits and assess the claim against coverage, eligibility and fraud rules. Experts stay in the loop and every agent step is traceable for audit. In a six-month production pilot, Taktile reports a 30% increase in straight-through processing, 4-6% better adjudication quality on selected claims journeys and processing time cut from days to minutes (vendor-reported); the solution is being extended to the full health portfolio. Markets of the pilot are not stated.
BarmeniaGothaer, the German insurance group formed by Barmenia and Gothaer, uses "Mina", an AI voice agent from Parloa, to route incoming calls at its Wuppertal site to more than 50 possible destinations. Mina was among the first agents on Parloa's AI Agent Management Platform and replaced an earlier rule-based Parloa bot; it runs on the Genesys Cloud contact-centre platform implemented by Damovo. According to CIO (May 2026), about 6,000 calls a day reach the contact centre, around 89% are now routed directly to the right contact and the bot takes more than 1,000 calls a day off the switchboard, which previously had to forward over 1,500 calls a day manually. Parloa (June 2025, vendor-reported) cites 90% relief of the Wuppertal switchboard.
by Uelzener Allgemeine Versicherungs-Gesellschaft a.G. (Germany)
DE
Uelzener Versicherung, a German specialist insurer for animals with more than 500,000 customers, uses the AI agent "Clara", built on Parloa's voice AI platform with the consultancy MUUUH!, in its customer dialogue centre. Clara replaced a traditional IVR menu: it identifies callers' concerns from free speech, including varied and context-dependent phrasing, and routes them directly to the right skill team; after calls it summarises the conversation, derives topics and prepares information for staff. According to Parloa's case study (May 2026, vendor-reported), Clara can initiate a transfer on almost all calls, skill-team assignment is nearly 100% accurate and routing is markedly more precise than with the old IVR, where many callers misclassified themselves. Autonomous handling of standard cases and 24/7 availability are planned.
Polish insurer PZU uses Tractable's computer vision AI in motor claims. The system reviews body-shop repair claims across Poland in real time, flagging anomalies for PZU's experts or confirming that repairs meet PZU standards; before, only about 20% of body-shop claims were reviewed in detail. By November 2020 it had processed more than 150,000 claims worth PLN 1.3bn, about one third of PZU's roughly 500,000 annual motor claims (Coverager). In March 2022 PZU, which started working with Tractable in 2017, announced it would extend Tractable's AI Estimating to first notice of loss, so customers can submit smartphone photos and accept a cash settlement within minutes; by then several hundred thousand claims had been processed (vendor-reported). Go-live of the customer self-service is not confirmed.
by Münchener Verein Versicherungsgruppe (Germany)
DE
Münchener Verein, a German mutual insurer covering health, life, pension, property and commercial lines, runs "Ella", a voice AI agent built on Parloa's AI Agent Management Platform, in its telephone customer service. Ella recognises the caller's concern (new policy, claim report, contract or benefit questions), authenticates callers with name, policy number, date of birth, house number and postcode, answers frequent questions from a growing FAQ base, partly autonomously, and hands prepared cases with all collected details to the right department via the ACD telephony system. According to Parloa's case study (May 2026, vendor-reported), first use cases were ready within ten weeks, a six-figure number of calls is answered or enriched, and break-even came about three months after production launch. End-to-end IBAN and address changes are planned.
ERGO Group uses AI to classify incoming customer submissions in Germany, so that documents and requests can be routed to the right processing step without manual sorting. According to ERGO's statements to procontra (November 2025), the automatic classification rate rose from 50% to over 90%, and more than 60 million document pages are processed a year. ERGO also reported about 120 AI use cases group-wide, intended among other things to absorb workload peaks such as pandemic and flu-season surges or climate-related large-loss events. Vendor, models and go-live date are not disclosed in the source.
Aviva's UK general insurance claims operation uses more than 80 AI and machine-learning models, built by an Aviva analytics team of over 50 specialists with McKinsey's QuantumBlack and Orphoz. The models support claims handlers at key decision points, notably liability assessment and the routing of claims to the right team. McKinsey's case study (vendor-reported) cites 23 days less to assess liability in complex cases, 30% better routing accuracy, 65% fewer customer complaints and over 40,000 hours of staff training. In March 2026 Group CEO Amanda Blanc said Aviva had trained over 150 machine-learning models in claims with its own data and saved nearly £100 million through its claims transformation (diginomica). The models are in production use across the claims function.