Artificial intelligence for insurance and brokerages
In insurance, AI pays off in document-heavy work: consulting policy wordings and coverage, reading claim forms and invoices, supporting policyholders and preparing claims files. Decisions about people (pricing, rejection) require special control and, in some lines, are high risk under European regulation.
By Oliver Guirado · Updated on October 28, 2026 · 5 min read
Why insurance is a good case for document AI
A broker or an insurer works with long policy wordings, claim forms, quotes, expert reports and histories. A large share of the time goes on finding the right clause, comparing products and filling in files. AI answers with a citation of the text, extracts data from documents and prepares the work so the professional can decide.
It helps to separate two worlds: document and customer-support assistance (low or medium risk) and automated decisions about people (underwriting, pricing, claim rejection), which fall under GDPR and, in some insurance (life and health), are considered high risk under the EU AI Act. We also work with the financial sector: see fintech apps.
AI use cases in insurance and brokerage
Policy wording assistant
Answers about coverage, exclusions and excesses with a verbatim citation of the document.
Expiry reminders and prioritised cross-selling opportunities.
Sample AI projects in insurance and brokerage
Sample project · Insurance brokerage
Policy wording assistant for a brokerage
Problem
Answering a customer about coverage and exclusions meant opening several policy wordings from different insurers and lines, with a risk of error and wasted time.
Solution
An assistant that consults the current wordings, answers with a verbatim citation, summarises differences between products and flags what needs confirmation. It does not replace the broker's review.
Steps
Collection and versioning of wordings by line and insurer.
Structured extraction of coverage, exclusions and excesses.
Answers with citation and guided comparison.
Review by the broker team and tuning of edge cases.
Target outcome
Faster, more consistent answers, with traceability of the text that backs them.
Technology
RAG by line and insurer, document extraction, review panel.
Sample project · Insurer
Claims file preparation for home insurance
Problem
Every claim arrived with forms, photos and invoices in different formats; handlers lost time sorting and checking the information.
Solution
A pipeline that reads documents and photos, extracts the data, checks consistency with the policy and presents a summarised file with alerts for the handler, who decides.
Steps
Analysis of claim types and usual documents.
Extraction and validation against the policy.
Summarised file with links to the source.
Integration with the claims system and human review at all times.
Target outcome
Files that are quicker to prepare and handler decisions that are better documented.
Technology
OCR and extraction AI, consistency rules, integration with the claims system.
The projects on this page are illustrative, anonymised examples of how we approach this kind of work. Every real project is defined with your information, your systems and your goals.
Data, integrations and compliance
Personal and health data: GDPR, minimisation, encryption and role-based access.
Automated decisions: no automatic rejection or pricing without human intervention.
EU AI Act: risk and price assessment in life and health insurance is considered high risk.
Insurance distribution: information to the customer must be clear and not misleading; generated texts are reviewed.
Start with the policy wording assistant: controlled risk and immediate usefulness.
Automate document reading for claims with human review.
Add policyholder support with clear limits.
Assess the regulatory risk before any use in pricing or rejection.
Reference prices for AI in insurance and brokerage
What is usually implemented first
Indicative investment
Typical timeline
Policy wording assistant with comparison
€12,000 – €40,000
2 – 4 months
Claims file preparation
€20,000 – €60,000
3 – 6 months
Policyholder support chatbot
€9,000 – €35,000
6 – 12 weeks
Indicative reference prices in euros, excluding VAT, for projects in Spain and Europe in 2026. The final amount depends on scope, integrations and data quality; we confirm it with a fixed quote after a first meeting.
Mainly as an assistant over policy wordings and coverage, in reading claims documents and in customer support, always with review by the professional.
Can AI decide a claim or a premium?
It should not do so without human intervention. Automated decisions about people are limited by GDPR and some uses in life and health insurance are high risk under the EU AI Act.
How much does a policy wording assistant cost?
Between €12,000 and €40,000 depending on the number of insurers, lines and security requirements. These are reference prices excluding VAT.
Does it cite the source of each answer?
Yes: each answer links to the document and section, and the system recognises when it finds no evidence.
Does it integrate with the brokerage management system?
Yes, through an API or import, depending on the software you use. We review it before quoting.
Shall we talk about your project?
Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.
