Case Study: VidaCaixa achieves faster, scalable, and governed AI model development with DataRobot

How Spain’s leading insurer scales AI across the business while meeting governance demands

VidaCaixa, Spain’s leading insurer, needed to scale AI across underwriting, payouts, customer support and other high‑value use cases while meeting strict regulatory and internal governance requirements. To accelerate model development and enforce governance, VidaCaixa turned to DataRobot and its platform capabilities (including Predictive AI, AI Governance, the DataRobot Python API and the AI Catalog).

Using DataRobot, VidaCaixa cut model development time from weeks to minutes for evaluation and iteration, enabling champion‑challenger testing and reusable model blueprints; the company reports that every four models built with DataRobot equals one data scientist saved. DataRobot also helped automate roughly one‑third of payout decisions—saving about 30 minutes per claim—while providing documentation, bias mitigation and governance guardrails, producing measurable cost and efficiency gains.

VidaCaixa

Jordi Vidal Araujo

Data Analytics Director and Chief Data Officer