{"id":50,"date":"2026-01-20T11:25:08","date_gmt":"2026-01-20T11:25:08","guid":{"rendered":"http:\/\/localhost\/wordpress\/pressroom\/?p=50"},"modified":"2026-01-21T17:45:19","modified_gmt":"2026-01-21T17:45:19","slug":"how-banks-are-using-ai-in-financial-crime-and-compliance","status":"publish","type":"post","link":"https:\/\/grcfincrimetoday.org\/index.php\/2026\/01\/20\/how-banks-are-using-ai-in-financial-crime-and-compliance\/","title":{"rendered":"How banks are using AI in financial crime and compliance"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h1 class=\"entry-title\">How banks are using AI in financial crime and compliance<\/h1>\n<p>&nbsp;<\/p>\n<p data-start=\"286\" data-end=\"614\"><strong>Artificial intelligence has moved firmly into the mainstream of bank compliance operations, according to new research carried out by <a href=\"https:\/\/hawk.ai\/\">Hawk<\/a> and Chartis.<\/strong><\/p>\n<p data-start=\"286\" data-end=\"614\">The study shows that banks are no longer debating whether AI has a role in financial crime and compliance, but are instead focused on how to scale it responsibly across core functions.<\/p>\n<p data-start=\"616\" data-end=\"1006\">The findings reveal that 89% of compliance and risk leaders say their institution encourages the use of AI, while 70% report that AI is already being tested or piloted within their organisation.<\/p>\n<p data-start=\"616\" data-end=\"1006\">These insights are explored in the report <a href=\"https:\/\/hawk.ai\/news-press\/where-banks-are-using-ai-financial-crime-compliance-today\"><em data-start=\"1050\" data-end=\"1130\">AI in Financial Crime and Compliance: Charting the Path from Pilot to Maturity<\/em><\/a>, which examines how banks are applying AI today and where adoption remains uneven.<\/p>\n<p data-start=\"616\" data-end=\"1006\">Fraud prevention has emerged as the most mature use case across financial crime and compliance. One-third of banks surveyed are already using AI at scale or operationally to prevent fraud, while a further 32% are piloting AI-based solutions. Another 28% are actively exploring its use, and notably, no respondents reported having no AI usage in anti-fraud programmes.<\/p>\n<p data-start=\"1583\" data-end=\"1974\">AML transaction monitoring ranks as the second most advanced area, with 22% of banks reporting operational or at-scale AI deployment. Sanctions screening follows at 16%, while case management and investigations currently trail behind at 12%.<\/p>\n<p data-start=\"1583\" data-end=\"1974\">Regulatory reporting remains the least mature function for AI adoption. Only 9% of banks actively use AI in regulatory reporting, while 17% report no usage at all, the highest non-adoption rate across all financial crime and compliance areas.<\/p>\n<p data-start=\"1583\" data-end=\"1974\">At the same time, regulatory reporting shows the highest level of informal AI use, with 31% of respondents saying individuals rely on AI on an ad hoc basis.<\/p>\n<p data-start=\"2440\" data-end=\"3051\">Machine learning continues to underpin most AI deployments across compliance. It is used by 75% of banks in case management and investigations, 66% in fraud prevention and 65% in AML transaction monitoring. Natural language processing also plays a significant role, particularly in investigations and regulatory reporting.<\/p>\n<p data-start=\"2440\" data-end=\"3051\">For more insights into the growth of AI, download the reports here. There are two editions to the report:\u00a0<a href=\"https:\/\/insights.hawk.ai\/chartis-path-to-ai-research-banking\">Banking<\/a>\u00a0and\u00a0<a href=\"https:\/\/insights.hawk.ai\/chartis-path-to-ai-research-payment\">Payment &amp; FinTech<\/a>.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Maecenas mauris elementum, est morbi interdum cursus at elite imperdiet libero. Proin odios dapibus integer an nulla augue pharetra cursus.<\/p>\n","protected":false},"author":1,"featured_media":3290,"comment_status":"open","ping_status":"open","sticky":true,"template":"elementor_theme","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[148,61],"tags":[],"class_list":["post-50","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fintech","category-technology-ai-regtech","sticky"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/posts\/50","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/comments?post=50"}],"version-history":[{"count":3,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/posts\/50\/revisions"}],"predecessor-version":[{"id":3292,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/posts\/50\/revisions\/3292"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/media\/3290"}],"wp:attachment":[{"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/media?parent=50"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/categories?post=50"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grcfincrimetoday.org\/index.php\/wp-json\/wp\/v2\/tags?post=50"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}