At the Global AI Governance and Innovation Showcase, Denisse Rudich, who leads Compliance and Governance at Sherloc, shared a powerful reflection on what it means to work with AI today.
Denisse was named Valedictorian of the Financial Conduct Authority AI Lab Supercharged Academy — a recognition of both her commitment throughout the programme and her leadership in responsible AI.
A Transformative Experience
The Academy was not only about understanding what AI can do.
It was about understanding how AI should be used.
Participants explored some of the most important questions facing financial services today:
- bias
- hallucinations
- governance
- accountability
- systemic risk
- responsible adoption
For Denisse, the experience was deeply personal and professional.
As she shared:
“I have worked with the FCA Innovation team for nearly 10 years, so being named Valedictorian was a pretty big deal for me. The AI Lab Supercharged Academy required a lot of hard work, but it was transformative. It has changed the way I think about and interact with AI. Now, I have robot helpers, and it no longer feels as scary.”
From Fear to Confidence
One of the most important shifts Denisse described was a change in mindset.
AI moved from something uncertain or intimidating to something that could be understood, managed, and applied responsibly.
This is a critical step for professionals working in compliance and governance.
Because responsible AI adoption depends not only on technical capability, but also on confidence, judgement, and oversight.
Why Governance Matters
In financial services, AI cannot be treated as a standalone innovation.
It must be connected to:
- risk management
- compliance
- accountability
- customer outcomes
- organisational responsibility
Denisse’s recognition highlights a broader shift in the industry.
AI is not just about innovation.
It is about building systems that can be trusted.
The Takeaway
The future of AI in finance will not be shaped by technology alone.
It will be shaped by professionals who understand both its opportunities and its risks.
Denisse’s journey shows that responsible AI starts with learning, reflection, and the confidence to engage with new tools in a meaningful way.
