By Jose Goicoechea, Head of Digital and Commercial AI, and Yashendu Joshi, Head of COE, Artificial Intelligence
The challenge for compliance and risk leaders today is immense. We operate on ever-shifting regulatory sands, with frameworks like the Alternative Investment Fund Managers Directive (AIFMD) and stringent AML/KYC requirements constantly evolving. Simultaneously, the tsunami of transactional data has grown beyond any human team’s ability to manually monitor effectively.
Traditional compliance methods, often based on spot checks and rule-based alerts, are struggling to keep up. They’re reactive by nature and can feel like searching for a needle in a haystack. In this environment, a more intelligent, proactive approach is not just an advantage, it’s a necessity.
In this article, we take a look at the value of AI in reinforcing regulatory compliance and risk management frameworks.
The AI “shield”
In this context, AI can be viewed as a proactive shield; an intelligent defence mechanism that enhances a firm’s ability to protect its clients and meet its fiduciary duties. Two key applications demonstrate this power:
- AI-based regulatory change monitoring: Imagine a sentinel that never sleeps, constantly scanning global regulatory updates. That’s what these AI systems do. They can track changes from regulatory bodies, assess their potential impact on specific funds or AIFMs in a portfolio, and automatically flag the relevant clauses for compliance experts to review – enabling a gear shift from reactivity to proactivity
- AI-powered anomaly detection: This is the AI equivalent of a world-class detective. Instead of relying on rigid, pre-set rules (like “flag all transactions over $10,000”), these systems learn the unique, “normal” behaviour for each entity under management. They can then identify subtle deviations that signal potential risk
An example: Detecting sophisticated transaction anomalies
Consider a classic anti-money laundering (AML) challenge. A manual or simple rule-based review might miss a series of small, structured payments that are intentionally designed to fly under the reporting threshold.
An AI-powered system, however, sees the bigger picture. It analyses patterns over time and across accounts. It can identify that these seemingly unrelated, low-value transactions form a suspicious pattern inconsistent with the client’s normal activity, and flag it for immediate human investigation. This is a level of intelligence and vigilance that is simply impossible to achieve at scale manually. It helps teams focus on genuine risks instead of chasing down countless false positives.
A new standard of fiduciary care
The value proposition here is crystal clear. The result is proactive compliance, a quantifiable reduction in the risk of non-compliance penalties, and a more efficient, agile adaptation to new regulations. This isn’t about replacing the critical judgment of compliance professionals; it’s about equipping them with a powerful magnifying glass to see risks more clearly and act more decisively.
Ultimately, deploying AI in our risk frameworks is a core component of modern fiduciary duty. It demonstrates a commitment to leveraging the best available technology to protect client assets and uphold the integrity of the financial system.
Click here to find out more about how IQ-EQ is harnessing AI to achieve ever-higher standards.
Also in this article series:
