Financial Institutions Set to Spend 30% of Risk and Compliance Budgets on AI
News related to:Parker & Lawrence Research · 2 min read
LONDON, UNITED KINGDOM, September 30, 2026 /CourierPR/ -- Financial institutions are increasingly integrating artificial intelligence (AI) into their risk and compliance operations, according to a new report from Parker & Lawrence Research and RegTech Analyst. The report, titled "AI in Risk & Compliance 2026," reveals that these institutions are set to spend around 30% of their risk and compliance technology budgets on AI.
The report, which brings together insights from 300 senior compliance decision-makers across financial institutions, 100 technology vendors, and qualitative interviews with regulators and market experts, provides an in-depth view of how AI is reshaping the compliance function. It highlights that AI has moved beyond discussion and experimentation to become an established part of the risk and compliance technology stack.
The 300 survey respondents forecast a total AI spend of $703.7 million during 2026. This figure, when compared with the total RegTech spend of $2.37 billion, reported in previous research from Parker & Lawrence, represents a directional benchmark of around 30% of risk and compliance technology budgets.
The report indicates that AI adoption is clearly in full swing, with all 300 institutions reporting some use or exploration of AI. Across the seven domains of compliance it assessed, 66% of reported AI activity is at the production stage or beyond, and 58.4% have AI that can take action rather than simply provide information and recommendations.
Despite concerns about the ability to deliver measurable returns on AI deployments, the report suggests that these concerns may have been overstated. More than a quarter of institutions (27.7%) report realized returns above 50%, compared with 13.3% in the 1%, 10% band.
The report provides deep dives into seven regulatory domains, including financial crime compliance, conduct risk, compliance management, cybersecurity, technology risk, data risk, and ESG. It covers subcategories of each domain with each attributed a model applicability score that indicates how useful various levels of AI tools are for tasks in that field.
Several leading technology solutions are spotlighted in the report, including regulatory change management solution AscentAI, horizon scanning tool CUBE, compliance assurance RegTech Gryphon, regulatory intelligence provider Sherlocq, communications compliance platform LeapXpert, marketing and communications compliance expert Adclear, customer outcomes oversight and assurance company Aveni, third-party risk management provider Neotas, and technology asset management RegTech Riskonnect.
The report also includes a helpful market map of AI tools within RegTech, offering a practical benchmark for institutions considering AI investments. Parker & Lawrence Research and RegTech Analyst will host a webinar on October 7th to discuss some of the key findings from the report. The hour-long session, starting at 9am ET / 2pm BST, will feature Parker & Lawrence Research co-founder Nathan Parker, LeapXpert VP of marketing Ari Applbaum, and Rabobank head of governance, compliance UK Carolina Montiel Alocen.
The findings of the report underscore the growing importance of AI in risk and compliance workflows, with AI now interpreting information, coordinating tasks, influencing decisions, and increasingly taking action. This is a much more consequential form of adoption, according to Nathan Parker. Mariyan Dimitrov, head of business operations at RegTech Analyst, noted that AI in risk and compliance has moved well past the pilot stage, with institutions now committing nearly a third of their technology budgets to it.