Built from hands-on
AML experience
The idea grew out of years of hands-on work with institution-specific risk assessments — involving complex spreadsheets, manual coordination and significant effort to keep them up to date. EWRA AI translates that experience into a structured, transparent and digital process.
Vision
Risk assessments that institutions, auditors and supervisory authorities can rely on.
We believe that enterprise-wide risk assessments, as the foundation of every AML programme, deserve a system that meets the requirements of institutions, auditors and supervisory authorities alike.
Mission
More time for informed risk decisions. Less effort spent on manual processes.
EWRA AI combines curated content, structured workflows and transparent AI assistance — while AML Officers retain complete control.
Meliha Tanriverdi
She has more than 13 years of experience in anti-financial crime. She has built and redesigned AML programmes and defended them before auditors and supervisory authorities — including enterprise-wide risk assessments, policies, transaction monitoring frameworks and control plans within the European regulatory environment. Previously, she worked at Deutsche Bank, Zalando and Enpal.
Degree & certifications
- B.Sc., International Business Administration (2009) – Europa-Universität Viadrina
- Certified Anti-Financial Crime Expert (2019) – Steinbeis Hochschule, School GRC
- CAMS (2022, not renewed) – ACAMS
- Certified Data Protection Officer (2026) – TÜV Rheinland
- Certified Compliance Officer (2026) – TÜV Rheinland

