Case Study: OAZ subsidieadvies increases efficiency in subsidy applications with Endava

Advanced Technologies Enabling Intelligent Process Automation

OAZ subsidieadvies, a subsidy advisory company, needed a way to improve the efficiency of its subsidy application process. The team was spending significant time manually assessing thousands of paper documents to find the proof needed to complete applications, making the process costly and slow. Endava helped address this challenge using OCR, machine learning, algorithms, semantics, and MarkLogic’s Enterprise NoSQL database.

Endava implemented a digitally transformed workflow that lets OAZ scan or enter data directly into a central system, improving searchability, privacy, and flexibility across many document types. The solution reduced manual labor by 30%, improved the customer journey, and enabled a more scalable business model, while giving OAZ better real-time visibility and control over subsidy progress.

OAZ subsidieadvies