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Zego is a commercial motor insurance provider that powers opportunities for businesses, from entire fleets of vehicles to self-employed drivers and riders. www.zego.com
Sten Saar and Harry Franks founded Zego in 2016. The duo had been working at Deliveroo and discovered that costly annual insurance premiums were acting as a barrier to entry for self employed couriers workers. With this in mind, they set out to build a more flexible pay-as-you-go model that would allow people to start working without having to take out a costly annual policy.
Zego's tech team grew 5x in 2021, but the privacy team and supporting agencies did not scale at the same rate.
The engineering team had to invest all resources in building new features to sustain company growth, leaving them with no time to fill out the privacy team's manual reports.
The privacy team provided thorough training on RoPA requirements and DPIAs to the engineering teams. Still, the engineering team could pick up the campaign on priority due to resource constraints, leading to delays.
With tens of feature launches running parallel and the privacy team's stretched resources, they couldn't be involved in all projects leading to several last-minute privacy review requests.
The team couldn't scale the legacy privacy software used at Zego. The software needed them to upload an excel sheet to it. The sheet was made manually by sending out complex questionnaires that slowed response times.
While automating privacy was a priority, Zego didn't want to increase risk by exposing customer data to a third-party privacy solution.
As Zego's privacy team struggled to get responses for their privacy assessments, they discovered Privado and decided to run a pilot. The tool quickly started showing results
The tool scanned all repositories in Zego's codebase and created a privacy report. The report detailed the repositories that process personal data, with whom the data gets shared, and where it is sent. This helped the team automate the manual process of collecting information through assessments and allowed them to go to the engineering team to get context on why a specific feature was processing personal data.
Privado integrated with Zego's codebase on GitHub in under 3 minutes with its simple connection process. The tool only triggered when developers made a change that had privacy issues. This enabled Zego to stay privacy-compliant at the speed of development.
The team used Privado to send out privacy assessments to the engineering teams. Since the tool requested specific information and phrased the assessments using engineering vocabulary, the team received 10x the number of responses in just under a week versus getting little to no responses before using Privado.
Zego's privacy team tapped into the Privado team for guidance on creating policies and setting up business processes to help bridge the gap between them and the engineering teams. This enabled the privacy team to get started quickly and ensure they got a good number of responses to their assessments.