The fight against financial crime is entering a new era shaped by AI, evolving criminal networks, and growing demands for faster, more effective investigations. As organizations grapple with fragmented data, emerging threats, and increasing regulatory scrutiny, success depends on combining technology, trusted intelligence, and human expertise.

In this episode, Katie Jackson, UK Head of Forensic at Deloitte and Francis Marinier, Industry Practice Lead at Moody’s, join host Alex Pillow to explore how financial crime investigations are evolving and what organizations are doing today to prepare for the future.

Together, they discuss how AI, agentic technologies, data strategies, and cross-functional collaboration can impact the detection, investigation, and prevention of financial crime.

Key topics covered:

Why financial crime threats are becoming more sophisticated, faster, and harder to detect in a digital-first world
The shift from siloed fraud and AML functions toward more integrated risk and investigation models
What “investigation-grade intelligence” means and why trusted, connected data is foundational to effective investigations
How AI agents help automate data gathering, so investigators can focus on analysis, judgment, and critical thinking
The growing importance of governance, explainability, and data lineage in AI-driven investigations

Recommended resources:

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