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Fenergo: Redefining Compliance with Agentic AI
At SIBOS Frankfurt 2025, Chris Zingo of Fenergo outlined a bold vision for how agentic AI is reshaping compliance — not just automating it. With only half the market 33% automated, Zingo argued that the industry’s challenge isn’t simply digitisation but reimagining the entire compliance workflow.
“Agentic AI allows us to move beyond linear processes,” he explained. “We’re transforming compliance from a manual, step-by-step burden into parallel, intelligent workflows that eliminate unnecessary work.” By capturing biometrics and key data at the start of the onboarding journey, Fenergo ensures that compliance data can be reused across jurisdictions, business lines, and regulatory frameworks.
This approach not only improves accuracy but dramatically reduces duplication. The company has already seen measurable results: 99% of document classification and data extraction tasks automated, and 73% of false positives eliminated during extended screening. These gains demonstrate how AI-driven systems can elevate both compliance and customer experience simultaneously — breaking the old trade-off between security and speed.
Zingo pointed out the scale of inefficiency across the sector: the second-line AML process alone consumes between $78 and $108 billion globally yet delivers less than 1% detection rates. By embedding AI deeper into these processes, Fenergo aims to redefine how financial institutions view customer risk and operational resilience.
For Zingo, innovation in compliance isn’t about ticking regulatory boxes. It’s about eliminating waste, improving transparency, and accelerating trust. Agentic AI, he argues, gives banks a chance to turn compliance from a cost centre into a catalyst for better business.
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