Business fields · Insurance
AI training for Insurance Professionals
Insurers process large volumes of applications, claims notifications, expert reports and correspondence every day. Generative AI targets exactly that workload: AI assistants summarise claim files, extract data from loss adjuster reports and invoices, pre-check coverage questions against policy wordings and draft clear customer letters. AI agents and automation speed up intake, inbox classification and broker service. In underwriting, AI helps evaluate risk information and prepare quotes. At the same time, supervisors and customers expect transparency and fairness, especially in claims and pricing decisions. Success comes from using AI to assist claims handlers and underwriters, documenting decisions transparently and giving health and personal data the extra protection it requires.
Who is this course for?
- Claims handlers and benefits specialists
- Underwriters and risk surveyors
- Broker and agency service staff
- Product managers and actuarial teams
- Process and digital transformation leads
Typical challenges we address
- Getting to grips quickly with large claim files containing reports, photos and correspondence
- Checking coverage against complex policy wordings
- Handling surges in incoming mail, for example after severe weather events
- Writing customer communication that is clear yet legally sound
Practical scenarios from your field
Claim file summaries
An AI assistant turns the first notification of loss, expert reports, invoices and correspondence into a structured summary with a timeline, open points and potential inconsistencies for the claims handler.
Coverage pre-check
AI compares the described incident with the relevant policy clauses, quotes the passages and prepares an assessment that the claims handler evaluates and decides on.
Inbox classification
Incoming emails, letters and forms are sorted by request type, line of business and urgency, policy numbers are recognised and items routed to the right team with a suggested next action.
Customer letters
AI drafts clear letters on claims decisions, requests for documents or policy changes, while keeping mandatory wording and the company's tone of voice.
Underwriting support
For commercial risks, AI summarises risk questionnaires, survey reports and loss histories and compiles follow-up questions and relevant risk features for the underwriting decision.
Broker support
A knowledge assistant answers broker and agent questions about products, underwriting guidelines and processes based on approved documents, always citing the source.
Possible hands-on projects
Claim timeline tool
A small app that reads the documents in a claim file, generates a timeline of events and highlights missing documents and open deadlines.
Clause finder
An internal search tool that scans policy wordings across product generations and displays relevant clauses for a keyword side by side.
Catastrophe triage board
A dashboard that sorts claims by region, estimated loss and urgency, helping allocate adjusting resources during accumulation events.
All 15 courses for Insurance Professionals
AI for business (12)
- ChatGPT for Insurance Professionals
- Claude for Insurance Professionals
- Microsoft 365 Copilot for Insurance Professionals
- Google Gemini for Insurance Professionals
- AI Agents for Insurance Professionals
- Prompt Engineering for Insurance Professionals
- Generative AI for Insurance Professionals
- n8n for Insurance Professionals
- Make for Insurance Professionals
- Perplexity for Insurance Professionals
- Mistral Le Chat for Insurance Professionals
- EU AI Act & AI Compliance for Insurance Professionals
Vibe & agentic coding (3)
Data protection & compliance
Insurers are subject to supervisory rules such as the German VAG, DORA and the GDPR; health data is a special category under Article 9 GDPR and further protected by professional secrecy rules. AI used for risk assessment and pricing in life and health insurance is high-risk under the EU AI Act.
Prerequisites
You work for an insurer, broker or agency and know the processes in your line of business.
Frequently asked questions
May AI decide on claims?
In practice, AI should prepare decisions, not make them. Automated individual decisions with legal effect are subject to specific requirements under Article 22 GDPR. We show how to design processes so that claims handlers decide on a sound basis and the reasoning is documented transparently.
How should we handle health data?
Health data from health, life or disability insurance needs special protection. Use only approved, contractually secured AI environments, minimise the data you share and pseudonymise consistently. In the course we discuss concrete rules for your processes. Data processing agreements and deletion concepts must also be considered.
Request without obligation
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