AI for business · Industry guide

🏦 AI rules: Banks, insurers, leasing

Credit scoring and life and health insurance pricing are high-risk; the financial sector also has DORA and strict supervisors.

Typical AI uses and their risk level

High risk
Creditworthiness assessment and credit scores of individuals

High risk from 2 Dec 2027; fundamental rights impact assessment; GDPR Art. 22 (CJEU SCHUFA).

High risk
Risk assessment and pricing in life and health insurance

High risk; FRIA required.

Minimal
Fraud detection

Explicitly not high-risk under the AI Act — but GDPR and DORA apply.

Transparency
Customer service chatbot

Must say it is AI; must be accessible (EAA).

Minimal
Internal document search and summaries

Minimal risk; register the provider in the DORA ICT register.

What to do

  • Inventory models used in credit and underwriting decisions.
  • Prepare FRIA and DPIA templates; build explanation capability for customers.
  • Add AI cloud services to the DORA register of information with exit plans.
  • Align model risk management with AI Act requirements (data, logs, oversight).

Common pitfalls

  • Assuming a vendor’s CE marking covers your use — the deployer duties remain yours.
  • Using alternative data (social media, phone data) in scoring — high risk of discrimination and GDPR problems.

Examples

A leasing company uses a scorecard supplied by a fintech

The leasing company is the deployer: human review of rejections, logs, informing customers, FRIA — from Dec 2027; explanation rights under GDPR already now.

General information, not legal advice — consult a lawyer for borderline cases. Regulations reviewed on 29 Sep 2026.