{"id":4367,"date":"2025-04-17T13:23:11","date_gmt":"2025-04-17T13:23:11","guid":{"rendered":"https:\/\/fintech.global\/globalregtechsummitusa\/?p=4367"},"modified":"2025-10-31T12:35:16","modified_gmt":"2025-10-31T12:35:16","slug":"will-2025-be-the-year-of-widespread-regulatory-automation","status":"publish","type":"post","link":"https:\/\/fintech.global\/globalregtechsummitusa\/will-2025-be-the-year-of-widespread-regulatory-automation\/","title":{"rendered":"Will 2025 be the year of widespread regulatory automation?"},"content":{"rendered":"

Regulatory compliance is no longer just a cost of doing business\u2014it\u2019s the next frontier of competitive advantage. As financial institutions grapple with evolving AML and KYC mandates, manual processes are buckling under the weight of complexity. Will 2025 be the year regulatory automation becomes a necessity?<\/strong><\/p>\n

In the view of\u00a0RelyComply<\/a>, updated regulatory measures have long been a bugbear for financial institutions, and the RegTech industry\u2019s rise over the past decade has reflected this. Solutions that target compliance challenges for specific sectors offer more bespoke techniques than legacy systems, the firm claimed.<\/p>\n

While these may have been adequate in the past, they cannot continuously uncover threats to the regulators that matter in real-time, so they fall behind.<\/p>\n

RelyComply outlined, \u201cGiven the focus on regulatory scrutiny and the costs of compliance that face financial services companies, it\u2019s been a long path to seeing compliance\u2019s positive aspects. Rules are in place to standardise approaches that make global compliance efforts concerted and effective, but the acceptance of that fact feels more widespread than ever.\u201d<\/p>\n

With RegTech platforms created to address transparency through audits and streamlined compliance processes, businesses are seeing the possibility of staying ahead of sophisticated criminals using automated features that make complex tasks simple in an ever-changing field such as financial services regulation, RelyComply said.<\/p>\n

\u201cWhen such solutions can patch up AML gaps in fincrime detection, constant monitoring and timely reporting, they curb the associated costs of failed compliance, which have seen high-profile cases in the past few years. This is something many will do their utmost to avoid, and can with technology where initial investment is small compared to regulatory penalties (and reputational repercussions),\u201d the company remarked.<\/p>\n

RelyComply concluded, \u201c2025 is the pivotal year for a compliance mindset shift, with many jurisdictions leading the way in mandating AML compliance and driving the competition using RegTech. Although some regions are lagging behind, success stories from future-proofed platforms will put both regulatory measures and digital means in a good light that can be rolled out more and more.\u201d<\/p>\n

A pivotal year\u00a0<\/strong>\u00a0<\/strong><\/p>\n

2025 is poised to be a pivotal year for regulatory automation, but mass adoption will depend on two critical factors: regulatory clarity and the pace of AI validation. This is the view of Annalisa Camarillo, chief communications officer and head of marketing at\u00a0Quantifind<\/a>.<\/p>\n

She said, \u201cOn one hand, the increasing sophistication of AI-powered compliance tools \u2014 like automated transaction monitoring, AI-driven risk intelligence, and dynamic sanctions screening \u2014 is making regulatory automation not just feasible but essential. Financial institutions recognize the efficiency gains from reducing false positives, streamlining investigations, and accelerating decision-making through AI-driven insights.\u201d<\/p>\n

Despite this, Camarillo identifies the primary constraint as regulatory acceptance. \u201cRegulators are cautiously evaluating how AI-driven automation can remain transparent, explainable, and auditable; particularly in sensitive areas like AML, fraud detection, and sanctions compliance. Firms that can demonstrate strong model governance and explainable AI will be at the forefront of this transformation.\u201d<\/p>\n

In short, Camarillo believes adoption is accelerating, but trust and regulatory guidance will determine the speed of widespread implementation. She mentioned that as regulators become more comfortable with AI\u2019s role in compliance, the next phase will be full automation of high-volume, low-risk decisions, freeing compliance teams to focus on complex, high-risk investigations.<\/p>\n

Accelerated adoption<\/strong><\/p>\n

In the opinion of\u00a0ComplyExchange<\/a>, regulatory automation is definitely on the up and up with AI driven solutions changing the compliance landscape across financial institutions. As we head further into 2025, the firm said, we\u2019ll see several factors which will accelerate adoption even more.<\/p>\n

The company remarked, \u201cIncreasing regulatory scrutiny and the need for real time compliance will drive organisations towards automated solutions. AI tools can process vast amounts of regulatory data, reduce human error and improve reporting accuracy. With advancements in machine learning, natural language processing and blockchain, compliance automation is no longer a concept of the future, it\u2019s a present reality.\u201d<\/p>\n

However, several challenges will slow down widespread adoption. \u201cRegulatory uncertainty is a major hurdle. As financial regulators work to define AI governance frameworks, businesses may not fully implement automated compliance solutions without clear guidance. And legacy infrastructure and integration complexities within large financial institutions will slow down seamless automation.\u201d<\/p>\n

Despite this, the long-term outlook for regulatory automation is strong. With AI governance frameworks mature, organisations that invest in automation will see cost savings, efficiency and a more proactive approach to compliance.<\/p>\n

\u201cThe future will see a blend of human expertise and AI driven regulatory solutions to ensure accuracy and adaptability in an ever changing financial landscape.<\/p>\n

2025 may not be the year of complete industry wide adoption, but it will be the year where regulatory automation moves from an emerging trend to an important business strategy,\u201d the firm concluded.<\/p>\n

Increased awareness<\/strong><\/p>\n

4CRisk.ai<\/a>\u00a0COO Supra Appikonda explained that they believe they\u2019re seeing an increasing awareness in the financial sector of the benefits of AI in regulatory and compliance \u2013 it has become table stakes for competitiveness and agility, going beyond mere compliance, he claims.<\/p>\n

Appikonda remarked, \u201cAs financial firms spend more than 10% of revenues keeping pace with over 200+ changing regulations daily, they feel the urgency to automate, since over 50% of that spend is on manual systems and human capital. With advances in AI-powered regulatory change and compliance, firms can complete key tasks up to 50 x faster \u2013 from scanning the horizon for changes, using AI to filter through the noise, to pinpointing what changes affect them and how, through to AI-recommended wording changes in risk, policies, procedures and even contract terms required by upcoming changes in regulations, rules, laws and standards.\u201d<\/p>\n

He continued, \u201cIn addition, firms see AI parse and analyze both unstructured and structured information at unprecedented granular levels.\u00a0 For example, 4CRisk.ai can cut through the process of streamlining and rationalizing duplicate controls and procedures in minutes, rather than the hours, weeks and days it takes manually. It\u2019s difficult for firms not to take advantage of these kinds of efficiencies.\u201d<\/p>\n

Appikonda stated that additionally, and specifically in the US, he expects the financial sector to go through a transformation, with regulations changing at both federal and state level \u2013 presenting opportunities for merges and new alliances.<\/p>\n

He added, \u201cOrganizations also must assess the impact of deregulation on their risks, policies, processes and controls, some of which may increase their resilience and performance.\u00a0 While not required by regulations, certain elements may continue to make good business sense.\u201d<\/p>\n

A continuation year<\/strong><\/p>\n

Ed Lloyd, managing director and head of sales at\u00a0AscentAI<\/a>, said that the firm is seeing a significant uptick in interest from risk, compliance, and digital transformation teams who are all looking at ways to automate and optimize their current operations, with specific focus on AI.<\/p>\n

He said, \u201cDriving that interest is a desire for business process acceleration, increasing the accuracy of their compliance activities to better manage risk, reducing costs, and creating true enterprise command and control across all the interconnected teams and processes within their environment.\u201d<\/p>\n

From the perspective of AscentAI, 2025 is a continuation of the rapid move to AI automation that began 18 months ago with large financial institutions. Now, mid-sized and smaller firms are also aggressively looking to digitally transform their operations and create a tech stack that unlocks new and faster capabilities.<\/p>\n

Lloyd added, \u201cThe FinTech sector is one that typically aligns with AI focussed vendors as they have an affinity for using technology to replace manual processes. The regulatory landscape continues to evolve at a rapid rate, and firms large and small are looking to RegTech automation to help them keep pace.\u00a0 We do not foresee a slowdown any time soon.\u201d<\/p>\n

Trust and traction<\/strong><\/p>\n

Oisin Boydell, chief data officer at\u00a0Corlytics<\/a>, remarked that it looks like the shift has already happened, with 2025 shaping up increasingly to be the year of compliance automation.<\/p>\n

He said, \u201cBut whether it marks widespread automation depends on two things: trust and traction. On the one hand, we\u2019re seeing meaningful momentum, especially in risk and compliance, where automation is freeing teams from manual, repetitive tasks and enabling faster response to regulatory changes. On the other hand, there is still uncertainty around AI, particularly in relation to risks relating to accuracy and data privacy.\u201d<\/p>\n

Boydell went on, \u201cAt Corlytics, we\u2019re actively employing AI and GenAI in a way that supports accuracy, transparency and human oversight. But full-scale adoption isn\u2019t just about the tech, it\u2019s about trust in the outputs, especially in high-stakes environments. AI can accelerate regulatory compliance, but only if we get the governance piece right. Also, when used responsibly, AI doesn\u2019t replace human expertise, it extends it.\u00a0 2025 could be the year, but only for organisations that treat AI not as a kind of a shortcut, but as a system built on data integrity, explainability, transparency and domain expertise.\u201d<\/p>\n

No longer optional<\/strong><\/p>\n

According to Sebastian Hetzler, co-CEO at\u00a0IMTF<\/a>, due to financial transanctions becoming faster and more numerous and regulatory requirements for financial crim compliance growing increasingly complex, AI is no longer an optional choice, but an essential one.<\/p>\n

He said, \u201cAdvanced RegTech solutions are transforming compliance by enabling real-time AML, immediate risk detection on instant payments, and 24\/7 transaction monitoring, making these processes more scalable and cost-effective.\u201d<\/p>\n

Recognising these advancements, regulators globally are increasingly embracing machine-readable regulations and encouraging the digitalisation of compliance functions \u2013 signalling greater openness to AI-driven solutions. However, key barriers to adoption remain. Challenges such as integrating AI into legacy systems, navigating fragmented regulations across jurisdictions, ensuring data privacy and cybersecurity, overcoming resistance to change, bridging the skills gap, and managing high initial investment costs continue to slow implementation, said Hetzler.<\/p>\n

He finished, \u201cWhile AI and automation will define the future of regulatory compliance, ensuring explainability and maintaining human oversight will be just as critical to fostering trust and accountability.\u201d<\/p>\n

Widespread uptake hindered\u00a0<\/strong>\u00a0<\/strong><\/p>\n

Nickii Malia, business development manager of\u00a0KYC Portal<\/a>, said that whilst regulatory automation is undoubtedly gaining momentum \u2013 driven by advancements in AI and the increasing complexity of compliance requirements \u2013 widespread uptake may still be hindered by factors such as regulatory uncertainty, the challenge of integrating AI-driven solutions with legacy systems and concerns over transparency and accountability in automated decision-making.<\/p>\n

Malia remarked, \u201cHowever, as financial institutions face mounting pressure to improve efficiency and reduce compliance costs, automation is set to play an increasingly central role. Looking ahead, regulatory compliance will likely evolve towards a more proactive, data-driven approach, with solutions enhancing risk detection, streamlining reporting and ensuring real-time adherence to regulatory requirements.\u201d<\/p>\n

Malia explained that KYC Portal is seeing a growing interest from clients in leveraging technology to enhance their compliance processes. She detailed, \u201cMany are looking for solutions that improve efficiency, reduce manual workload and ensure regulatory adherence while maintaining a seamless client experience.<\/p>\n

\u201cHowever, while automation presents clear benefits, challenges remain, such as adapting to evolving regulations, integrating new technology with existing frameworks and addressing concerns around data security and oversight. As financial institutions continue to explore digital transformation in compliance, the focus will likely shift towards balancing automation with regulatory expectations and operational resilience,\u201d she remarked.<\/p>\n

A significant window<\/strong><\/p>\n

Saifr<\/a>\u00a0strategic risk leader Jon Elvin stated that 2025 and 2026 will be the window of opportunity to substantially advance and adopt automation, particular in regard to tasks and processes supporting regulatory requirements and key risk management controls.<\/p>\n

He said, \u201cWe are seeing a posture with the new Trump Administration for evaluating, and perhaps reducing some regulatory requirements, while also promoting innovation. Regulatory automation combined with rapidly advancing Artificial Intelligence will intersect to solve many longstanding inefficient and burdensome tasks targeting the sweet spot of multiple stakeholders including Chief Financial Officers, compliance professionals and operational functions. Additionally, more consistent results, reduced cycle times and improved customer and employee experiences will certainly be achieved.\u201d<\/p>\n

Despite Elvin believing the path forward is not yet completely mapped and paved to support the speed and safety of an interstate highway, the direction is clear.<\/p>\n

He detailed, \u201cAs a reminder, responsible innovation should be the guardrail and guiding principle with an emphasis of strong documentation, testing, and AI oversight to monitor outcomes ensuring explainability and any early warning that might detect disparate impact or unintended outcomes. While the referees could throw yellow flags or speed enforcement zones along the way, the destination is exciting.\u201d<\/p>\n

He remarked that any major miss for an organisation that does not put these safeguards in place or self-diagnose would likely lead to targeted road closure or \u2018do not enter\u2019 space.<\/p>\n

\u201cOrganizations that do embrace automation and AI, and do so responsibly will benefit much earlier and deeper than peers,\u201d Elvin stated succinctly.<\/p>\n

Meanwhile, Saifr head of compliance Allison Lagosh explained, \u201cI think 2025 could be the year for widespread AI regulatory automation for compliance. It seems like a ton of vendors are offering a plethora of services geared to automate manual processes such as scanning content in various formats and distilling complex information in seconds all geared to becoming more efficient and producing quicker outputs. In this current environment of political \u201chypo-regulation\u201d it would seem like a perfect opportunity for growth and expansion in this arena for years to come.\u201d<\/p>\n

AI shifting compliance<\/strong><\/p>\n

John Kearney,\u00a0MCO\u2019s<\/a>\u00a0director of product management, believes that AI will continue to shift the compliance landscape in 2025. He noted that gone are the days when compliance officers could rely solely on policy manuals, spreadsheets, and a well-honed gut instinct.<\/p>\n

He remarked, \u201cAI can offer efficiency, automation, and insight\u2014but it\u2019s crucial to remember that it also introduces new risks and regulatory scrutiny.\u201d<\/p>\n

AI is already reshaping compliance functions with tasks including scanning for regulatory changes, automating risk assessments and detecting suspicious activity. The upside? In this area, Kearney mentioned that AI can dramatically improve compliance efficiency, reduce human error, and even help compliance officers sleep a little better at night. The downside, however, is that without proper oversight, AI can also make bad decisions at scale, introduce bias, and leave firms exposed to regulatory headaches.<\/p>\n

What does the shift to AI mean for compliance officers? \u201cUnderstanding AI\u2019s pitfalls along with it\u2019s potential is essential. AI will only be as good as the humans overseeing it,\u201d Kearney claimed.<\/p>\n

The year of mass adoption<\/strong><\/p>\n

In the opinion of Michael Thirer, CLO at\u00a0Muinmos<\/a>, it is very likely that 2025 will be a year of mass adoption, very much like what happened during COVID.<\/p>\n

He said, \u201cThe two have clear similarities \u2013 COVID was frightening, among other things, as it changed the way we all interacted and worked; similarly, AI is frightening, among other things, as it has the potential to change the way we all interact and work.<\/p>\n

\u201cAnd the same way COVID forced us all to adopt available technological tools \u2013 At Muinmos, we saw great adoption of our client onboarding platform during and after COVID \u2013 and new work patterns, AI will do as well,\u201d stated Thirer.<\/p>\n

It is important to remember, in this context, Thirer explains, that in the end those changes done during COVID \u2013 adopting available technological tools and new work patterns \u2013 in the end gave as all more options, like the ability to work hybrid, so in his view, change is not necessarily bad, new technologies give us new options.<\/p>\n

Meanwhile, Taavi Tamkivi, co-founder and CEO of\u00a0Salv<\/a>,\u00a0\u201cI feel like we\u2019re still in this funny period with AI, where lots of companies are still soul searching. In financial services, you\u2019re dealing with discreet information, regulation and a lot of complexity. So there\u2019s lots of risks to consider and balance. It\u2019s simple enough to have virtual assistants and other cool AI tools working around the edges, but it\u2019s very hard to implement these bulletproof AI systems at true scale, following hard requirements like banking secrecy, GDPR, auditability, data retention.\u201d<\/p>\n

He concluded by explaining that in RegTech, we haven\u2019t yet seen the year of AI. That will happen in maybe three or four years time. It will definitely happen, but the industry needs more time,\u201d said Tamkivi.<\/p>\n

Keep up with all the latest RegTech news\u00a0here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Regulatory compliance is no longer just a cost of doing business\u2014it\u2019s the next frontier of competitive advantage. As financial institutions grapple with evolving AML and KYC mandates, manual processes are buckling under the weight of complexity. 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