Connect with us

Hi, what are you looking for?

AI Regulation

Financial Services Must Adopt ‘Know Your Agent’ Compliance for AI-Driven Transactions

Financial institutions must adopt ‘Know Your Agent’ compliance frameworks to tackle AI accountability challenges as autonomous transactions surge towards 2030.

As the financial services sector evolves, experts are raising urgent concerns regarding compliance frameworks amid the rise of artificial intelligence (AI) and autonomous transaction agents. Nejc Korosec, Head of Compliance at Moneyhub, contends that traditional Know Your Customer (KYC) protocols, built on the assumption of human agency in financial transactions, are increasingly inadequate. The shift towards AI-driven, agent-based transactions raises fundamental questions about accountability and oversight, necessitating the development of a new compliance standard—Know Your Agent (KYA).

KYC has served as the cornerstone of compliance architecture for decades, relying on the verified identity of individuals acting with genuine intent. However, Korosec warns that a paradigm shift is underway where customers may no longer engage directly in transactions. Instead, they will delegate this authority to AI agents that autonomously negotiate and execute financial dealings on their behalf.

This transformation promises remarkable efficiency but poses significant compliance challenges. The crux of the issue lies in the absence of human oversight at the transaction level, leading to complications in ensuring that actions taken by AI agents align with the customers’ intent. Korosec emphasizes the need for KYA to complement KYC, extending the principles of identity verification and accountability to these new digital agents.

The challenge is exacerbated by the existing liability frameworks that struggle to address the complexities of AI-driven decision-making. In January 2026, FCA Executive Director Sheldon Mills reaffirmed that accountability under the Senior Managers and Certification Regime (SM&CR) extends to AI systems. Yet, as Korosec points out, the traditional model, which tracks human decisions, falters in a landscape where machines autonomously interpret and negotiate terms.

For instance, when a lending AI agent agrees to repayment terms that exceed a customer’s pre-approved limit, the current compliance frameworks offer no clear path for accountability. This liability vacuum leaves compliance teams without the ability to trace decisions back to a human judgment call, complicating enforcement and regulatory oversight.

The speed at which these transactions occur further complicates matters. Autonomous agent-to-agent transactions can execute in milliseconds, making it nearly impossible for compliance teams to address policy breaches before they cascade into further issues. Korosec argues that the financial sector must proactively build KYA frameworks to mitigate these risks before the agentic economy becomes the norm.

Implementing a KYA framework requires a nuanced approach that does not call for a complete overhaul of existing compliance structures. Instead, it necessitates extending current principles into new territory where verification and accountability must be rigorously maintained. Korosec suggests that each AI agent should carry a credential issued by the financial institution, detailing specific transaction types it is authorized to perform. This would create an auditable record, essential for establishing whether an agent has operated within its mandate.

However, verification alone is insufficient. Korosec stresses the importance of distinct separation between the reasoning and execution layers of AI systems. By ensuring that the execution of transactions adheres to predetermined limits—regardless of the reasoning behind an agent’s decision—financial institutions can ensure compliance and accountability. For high-stakes transactions or unanticipated scenarios, a human risk officer should retain final approval to ensure adherence to regulatory expectations.

At Moneyhub, the Smart Payments infrastructure exemplifies these principles. Built on Variable Recurring Payments, the platform hard-codes consent at the authorization stage, ensuring that transaction limits remain static and cannot be altered by the reasoning model. This safeguards against unauthorized movements of money, fostering a compliance environment that professionals can confidently endorse.

With 2030 approaching, a significant portion of commerce is projected to operate through autonomous agents. As this transformation unfolds, financial institutions that prioritize the establishment of verification and oversight frameworks today will be better positioned to navigate the complexities of the future. Korosec concludes that proactive adaptation is crucial; those who lay the groundwork for KYA now will set the benchmark for compliance in the evolving landscape of finance.

See also
Staff
Written By

The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

You May Also Like

AI Regulation

FactSet appoints Kate Stepp as Chief AI Officer and launches AI-driven KYC tools amid Bamco's $838M investment boost, signaling a strategic compliance focus.

AI Finance

UiPath acquires WorkFusion to enhance AI-driven automation for financial crime compliance, streamlining AML and KYC processes for banks and institutions.

AI Regulation

Compliance teams at banks in Singapore, Malaysia, and Australia report 66% heavy manual workloads, with only 34% implementing AI despite 54% exploring solutions.

AI Regulation

Pegasystems unveils enhanced Pega Client Lifecycle Management with agentic AI to streamline compliance, targeting $1.9B revenue by 2028 amid rising competition.

AI Tools

Microblink boosts its identity verification software with real-time liveness checks, achieving a 65% annual growth rate in fraud detection capabilities.

AI Finance

McKinsey reveals agentic AI could elevate global financial crime detection from a mere 2% to new heights, addressing banks’ disappointing compliance ROI.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.