Our Practical Inspiration Session: AI in Risk & Compliance

Across the financial industry, one question keeps coming back: what can AI realistically do in risk and compliance today? Much of the conversation around AI still focuses on technology. Yet the real shift is happening somewhere else. Over the past decade, the financial industry has quietly transformed from a transaction-driven industry into a knowledge-driven one. Work across risk, compliance, finance and regulatory change is increasingly:

• text-heavy

• interpretation-driven

• dependent on scarce expert judgement

• documented extensively for audit and oversight

This is exactly why the current wave of Generative AI feels different. Not because the technology suddenly became intelligent, but because the nature of banking work has become AI-shaped. GenAI excels at processing large volumes of text, interpreting context and supporting drafting, analysis and review. In other words, it aligns with how work in financial institutions is actually performed today.

At the same time, banks face another structural constraint: expertise does not scale easily. Senior risk and compliance experts spend significant time re-reading documents, revalidating interpretations and rewriting similar material across regulatory programmes. AI does not replace that judgement. Instead, it reduces the cost of understanding, allowing experts to supervise more work, align earlier with stakeholders and reduce late-stage rework.

What leading banks and financial institutions are already doing

Across the industry, banks are embedding GenAI into day-to-day workflows rather than running isolated pilots.

Examples include:

• Accelerating regulatory analysis and obligation mapping

• Supporting KYC operations and case handling

• Drafting and reviewing policy documentation

• Improving transaction monitoring workflows

These applications are already showing tangible benefits:

1. shorter cycle times for text-heavy processes

2. better consistency in regulatory interpretation

3. reduced operational bottlenecks

4. more efficient use of scarce subject matter expertise

But capturing these benefits requires more than experimentation. AI capabilities need to be embedded in governance structures, risk frameworks and operating models to ensure they are safe, explainable and aligned with regulatory expectations.

Our AI inspiration session

To explore these developments in a practical setting, Ace hosted a short AI inspiration session focused specifically on risk and compliance in financial institutions.

The Art of the Possible: AI in Risk & Compliance
27 March 2026
17:00-18:00
Ace office: WTC Amsterdam (Tower 1, 19th floor)

Hosted by Mehul and Frank, the session focused on practical examples and real use cases rather than theory.

Agenda

1. AI in banking today

   Key developments shaping how financial institutions approach AI

2. Industry use cases

   How leading banks are applying GenAI across risk, compliance and regulatory workflows

3. Practical example: RegAI Helia

   A walkthrough of how AI can support regulatory change management, including policy rationalisation and control design.

   After the session, there will be time to continue the conversation over drinks

We run these sessions regularly. Get in touch if you would like to join the next one.