Zymr engineered a Python-based automation layer that interfaced with key AML/KYC APIs and third-party identity verification systems. Using Python scripts, we automated document parsing, sanctions screening, and trigger-based alerts. The scripts were deployed in Docker containers and integrated into the client's microservices environment. We also built a real-time audit dashboard using Flask and Plotly.
A leading digital payments platform serving customers across North America and Europe. The client needed to streamline KYC compliance workflows for faster onboarding and real-time regulatory reporting, as manual checks were causing significant delays and compliance risks.
The client relied on manually validating customer documents, sanction lists, and AML data sources, which introduced human error and prolonged the onboarding cycle by days. Compliance audits were also challenging due to the lack of real-time reporting and traceability. The existing system lacked integration with modern AML/KYC databases.
The client reduced KYC processing time by 70% and achieved near-instant audit readiness. Automated alerting ensured zero compliance lapses, and audit traceability improved cross-functional accountability.
Zymr engineered a Python-based automation layer that interfaced with key AML/KYC APIs and third-party identity verification systems. Using Python scripts, we automated document parsing, sanctions screening, and trigger-based alerts. The scripts were deployed in Docker containers and integrated into the client's microservices environment. We also built a real-time audit dashboard using Flask and Plotly.
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