Case Study: Zego achieves complete privacy automation with Privado.ai

How Zego went from manual data mapping to complete automation with Privado

Zego, a commercial motor insurance provider in Europe, needed to scale privacy operations as its engineering team grew rapidly while the privacy team remained small. With manual questionnaires, legacy privacy software, and frequent last-minute DPIA and RoPA requests, the team struggled to keep up with product development and wanted a privacy-by-design approach without exposing customer data to a third-party tool. They chose Privado.ai to help automate data privacy assessments and mapping.

Privado.ai implemented dynamic data maps and code scanning by integrating with Zego’s GitHub codebase in under 3 minutes. The solution automatically scanned repositories, generated privacy reports, and pre-filled assessments in engineering language, leading to 10x more responses in under a week, data maps built in under 3 days, 61% of privacy issues remediated automatically, and an average RoPA response time of 8.3 days from developers.

Zego

Matt Kingsland

Data Protection Officer