通过使用Quantifind的AI, 一级银行每年可节省高达1.78亿美元, Tier 1 banks could save up to $178M yearly using Quantifind’s AI to cut KYC false positives by 80%-90%.

一份新的Celent报告发现,使用Quantifind的AI平台的第1级银行每年可节省1.779亿美元,其方法是在KYC切除假正数和制裁检查中减少80%至90%,降低合规工作量,并进行实时风险监测。 A new Celent report finds Tier 1 banks using Quantifind’s AI platform could save up to $177.9 million annually by cutting false positives in KYC and sanctions screening by 80% to 90%, reducing compliance workloads and enabling real-time risk monitoring. 预计第2级和第3级银行分别可节省4 250万美元和340万美元。 Savings of $42.5 million and $3.4 million are projected for Tier 2 and Tier 3 banks, respectively. 该技术利用机器学习和自然语言处理,支持持续合规,并可以扩大到交易监测和调查。 The technology, using machine learning and natural language processing, supports continuous compliance and could expand to transaction monitoring and investigations. Quantifind计划在进行适当监督之前,将人工智能仪器用于自动化任务。 Quantifind plans to integrate agentic AI for automated tasks, pending proper oversight. 该平台服务于美国主要银行和联邦机构。 The platform serves major U.S. banks and federal agencies.