Enterprise Knowledge Search
Allianz UK underwriters had to search through as many as 70 lengthy guidance documents during underwriting, spending significant time finding the right rules and answers, which slowed response times, risked missing critical information, and made it harder for junior staff to get timely guidance.
Reported impact
BRIAN helps underwriters find guidance faster, make better-informed decisions with greater confidence, improve speed and accuracy in day-to-day work, support junior underwriter onboarding, and create a scalable foundation for expansion into more documents, business lines, and adjacent functions such as Claims.
Allianz UK built BRIAN, an in-house generative AI Underwriter Guidance Tool, to help commercial underwriters retrieve policy and risk guidance from internal documentation. The system ingests uploaded underwriting guides, currently covering all Property and Casualty and Specialty line documents, and digests them into a searchable knowledge base. Underwriters ask natural-language questions in BRIAN’s interface, and the tool returns concise answers generated only from the uploaded source documents. To support traceability and compliance, each response also links directly to the exact section of the original guidance used to generate the answer, including very large documents. Allianz says the tool was developed jointly by business, transformation, technology, and datalab teams, is already in full production, and is being scaled across more users, documents, and business lines.
Internal underwriting guides for Property and Casualty and Specialty lines are uploaded into BRIAN, which digests the documents into its database. Underwriters submit natural-language questions through the tool, BRIAN scans the relevant guides, generates a concise answer sourced only from those documents, and returns the answer together with a link to the exact section of the original guidance.
"BRIAN is now in full production and ready to scale. BRIAN digests underwriting guides – currently all Property and Casualty (P&C) and Specialty line documents – and allows underwriters to ask specific questions and receive concise, accurate responses."
"BRIAN was developed as a collaboration between Allianz UK business, transformation and technology teams, together with datalab"
"Crucially, the information is sourced exclusively from the uploaded documents, ensuring compliance and reliability."
"Currently, BRIAN is being used by 260 Property and Liability Underwriters across all Allianz UK commercial offices, with plans to scale to all 600+ underwriters within 12 months"
"Following a successful pilot phase with nearly 3,000 questions from 190 users"
"It provides a concise answer, and it also includes a direct link to the specific section of the 800-page guidance document used to generate the response."
"This inefficiency can result in slower response times, critical information being missed and a less-than-ideal experience for brokers and customers."
"With as many as 70 such documents to refer to, underwriters can spend upwards of two hours a week simply sifting through these resources"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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