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On December 15, 2025, Remonda Z. Kirketerp Møller, founder of Muinmos, shared insights at the Finance Magnates London Summit concerning the adoption of artificial intelligence in the regulatory technology sector. Møller emphasized the dual nature of AI’s potential and its risks, particularly for brokers and financial institutions.
Financial institutions are increasingly eager to incorporate AI into compliance operations, yet many rush into this integration without a thorough understanding of the associated operational and regulatory complexities. Møller highlighted that AI’s usability, accuracy, and the accountability mechanisms within compliance are crucial. Without a robust implementation framework, firms risk incurring financial penalties, damaging their reputations, and facing disruptions in client onboarding.
Established in 2012, Muinmos was born from Møller’s vision of an automated system designed to evaluate the capacity of financial institutions to onboard clients in compliance with regulatory standards. The company provides a SaaS-based regtech platform utilizing automation, alongside AI and machine learning, to streamline client onboarding and compliance tasks across diverse jurisdictions.
A recurring confusion within the industry pertains to the distinction between automation and artificial intelligence. Møller remarked that while many companies claim to employ AI, they often refer to simple automation processes. Importantly, she stressed that while technology can support processes, the ultimate decision-making authority must remain with the human operators of the institution, maintaining a clear chain of accountability.
AI can significantly enhance client onboarding processes by improving efficiency and supporting decision-making. However, these systems must function under well-defined controls and human supervision. Fully autonomous decision-making, without human oversight, could lead to unintended consequences.
In the realm of regulation, Møller acknowledged that dialogue with AI is expanding. Regulators are increasingly open to engaging with regtech companies, often incorporating them into regulatory sandboxes. Nonetheless, a disconnect persists between employing AI tools and comprehending the regulatory environment they operate within. As AI is incorporated across business functions, compliance must remain a primary focus.
The regulatory landscape in Europe presents both opportunities and challenges. Møller noted recent licensing approvals by CySEC for companies like Revolut and eToro as indicators of regulatory progress. Despite these advancements, uncertainty lingers, particularly around the passporting mechanism within the European Union. This uncertainty is compounded by differing regulatory speeds, with some authorities urging a cautious approach in response to ESMA’s guidance.
Looking forward, Møller predicts a shift toward greater automation within client lifecycle management, with AI facilitating more streamlined processes. The future promises reduced human intervention in onboarding, but only with a properly established risk management framework and controls.
The conversation underscored a fundamental tension in the regtech industry: while AI can drive efficiency and improve compliance, its successful implementation demands meticulous oversight, regulatory cooperation, and a keen understanding of its limitations. For brokers and investment firms, the advice is clear—incorporate AI thoughtfully and with deliberate planning.
The broader context of AI in financial services includes rapid technological advancements that promise increased operational efficiencies. However, these advances also present challenges, particularly around data privacy and ethical considerations. As AI systems become more integrated into financial operations, institutions must grapple with the potential for bias in AI algorithms, which could lead to unfair outcomes if unchecked.
Moreover, as AI adoption grows, so does the risk of cyber threats. The integration of sophisticated AI systems can create new vulnerabilities that malicious actors might exploit. Financial institutions need to ensure robust cybersecurity measures are in place to protect sensitive data and maintain trust.
The debate over AI in financial regulation is part of a larger conversation about the role of technology in society. As AI systems become more autonomous, questions about accountability, transparency, and governance are increasingly pertinent. Regulators and industry leaders must work collaboratively to establish frameworks that balance innovation with public interest.
In conclusion, AI’s role in regtech is undeniably transformative, offering significant benefits in compliance and operational efficiency. However, its successful deployment requires a nuanced approach, balancing technological advances with regulatory oversight and ethical considerations. As the financial landscape evolves, stakeholders must remain vigilant, ensuring that AI serves as a tool for positive change rather than a source of new challenges.
