FinTech Software Product Requirements, Agile User Stories, and EU AI Act Risk Classification Dataset
Description
This dataset has 350 Agile user stories and software requirements for FinTech apps (banking, lending, insurance, and investing apps). Each row is labeled with a risk level from the EU AI Act — the EU's law on AI (High-Risk, Limited-Risk, Minimal-Risk, or Unacceptable/Blocked). We built it to show, in plain terms, how a legal rule turns into real work for a product team: what risk level a feature falls under, what safety step it needs before it can launch, and how much extra effort that takes. It's meant for product managers, students, and researchers who want real examples of how AI risk rules apply to everyday product features, and for anyone building a tool that needs to sort requirements by risk level. Data Structure: The dataset covers 5 FinTech areas, 70 rows each: 1. Lending (credit scoring, Buy Now Pay Later) 2. Fraud & Payments (transaction monitoring, anti-money laundering) 3. Wealth Management (robo-advisors) 4. Insurance (pricing, claims) 5. Customer Support (chatbots, identity checks)