
It gives banks a cost‑effective, rapid way to mitigate hidden AML risk in back‑book data, helping meet regulator expectations and avoid costly fines. The model improves operational efficiency while strengthening overall compliance posture.
Legacy KYC back‑books have long been a blind spot for many SME‑focused banks. Traditional remediation relied on ad‑hoc consultant projects or large internal squads, which are costly and slow to mobilise when regulators issue enforcement notices. The pressure to demonstrate robust AML controls has intensified, prompting banks to seek solutions that can cleanse and refresh dormant client records at scale without diverting core resources.
EC Review addresses this need with a low‑touch, batch‑processing architecture built on Encompass’s EC360 platform. Banks simply supply a file of target records—often tens of thousands—and the service runs automated searches across more than 200 curated public data sources, normalising ownership structures, jurisdictional changes and other risk‑relevant attributes. Results are returned in a structured spreadsheet or via API, enabling risk teams to review only material shifts. Because the model does not require deep integration with existing case‑management systems, banks can launch remediation projects quickly, meeting regulatory deadlines while preserving internal bandwidth.
Beyond back‑book remediation, EC Review dovetails with Encompass’s perpetual KYC (pKYC) and digital vault offerings, creating a unified data‑governance layer for corporate clients. Continuous monitoring of a focused set of high‑impact attributes ensures that significant events—such as ownership transfers or sanctions hits—trigger alerts before they become compliance liabilities. The digital vault further streamlines credential sharing across multiple financial institutions, reducing redundant KYC questionnaires. Collectively, these capabilities position Encompass as a strategic partner for banks aiming to transform KYC from a reactive checkpoint into an agile, data‑driven risk management engine.
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