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Wolters Kluwer Survey Indicates Financial Institutions that Align With Regulators Are Able to Adopt AI More Successfully
MINNEAPOLIS, February 27, 2026--Wolters Kluwer Financial & Corporate Compliance today published the results of a new survey of 148 financial institutions identifying regulatory clarity and talent development as critical enablers in successful AI adoption within the banking industry. The Q1 2026: Banking Compliance AI Trend Report shows that while approximately 31.8% of institutions surveyed have deployed AI/ML technologies into production, only 12.2% describe their AI/ML strategy as "well-define
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[{"type":"text","content":"MINNEAPOLIS, February 27, 2026--(BUSINESS WIRE)--Wolters Kluwer Financial & Corporate Compliance today published the results of a new survey of 148 financial institutions identifying regulatory clarity and talent development as critical enablers in successful AI adoption within the banking industry. The Q1 2026: Banking Compliance AI Trend Report shows that while approximately 31.8% of institutions surveyed have deployed AI/ML technologies into production, only 12.2% describe their AI/ML strategy as "well-defined and resourced."","length":548,"tagName":"p"},{"type":"text","content":""Banks are moving quickly to embed agentic AI, potentially at the expense of clear strategy and AI governance," said Atul Dubey, Executive Vice President & General Manager, Wolters Kluwer Compliance Solutions. "Our findings underscore the critical need for collaboration with regulatory and compliance experts to ensure that strategic goals, governance and transparency agendas are advanced concurrently with agentic AI adoption – at scale - to drive sustainable success."","length":496,"tagName":"p"},{"type":"text","content":"Other findings from the latest Banking Compliance AI Trend Report include:","length":74,"tagName":"p"},{"type":"list","items":[{"val":[{"type":"text","content":"A substantial number of financial institutions (46.6%) point to operational efficiency as their primary AI and machine learning goal. However, there appears to be urgency around goals such as competitive advantages (10.1%) and customer experience improvements (6.8%).","length":267,"tagName":"p","attribs":{}}]}],"tagName":"ul","bulletedList":true,"length":267,"olType":false},{"type":"list","items":[{"val":[{"type":"text","content":"When asked what would most help advance their AI or machine learning strategy, more than half of respondents (58.8%) prioritized regulatory guidance, followed by technical training (45.9%), and industry benchmarks (37.2%).","length":222,"tagName":"p","attribs":{}}]}],"tagName":"ul","bulletedList":true,"length":222,"olType":false},{"type":"list","items":[{"val":[{"type":"text","content":"Only 35.8% of financial institutions surveyed have established internal policies for ethical AI use, while another 33.8% of respondents indicated that they have policies in development.","length":185,"tagName":"p","attribs":{}}]...