AI is now core to transaction monitoring, but impact depends on using the right models—misapplied tools risk missed gains and widening performance gaps.
Why some fintechs are dramatically improving transaction monitoring performance and others aren’t.
AI in transaction monitoring has gone from experimental enhancement to table stakes.
But here’s the challenge: Many firms are only applying AI in narrow use cases or reaching for the wrong tool entirely. They deploy LLMs to solve detection problems, while purpose-built financial crime detection models get ignored.
Join Kathy Gormley, Head of Transactions Product, and Lucie Novotna, Head of Transactions Solution Engineering, to discuss the most transformative uses of AI in transaction monitoring and share experiences from the field.
What You’ll Learn:
- Where AI actually improves transaction monitoring (and where it’s underutilised or overhyped).
- Why LLMs belong in the workflow and how firms are unlocking real value by getting it right.
- Why some teams are seeing step-change gains and others only incremental improvements.
- The AI maturity gap that’s emerging and how to close it.
- What’s working, what’s not, and what we, as an industry, are still figuring out.
The biggest risk isn’t disregarding AI. It’s using it without unlocking its full potential.
WHAT: Resistant AI webinar: AI Adoption Done Right: Are You Leading or Leaving Value on the Table?
WHEN: Tuesday, 19th May, 2026, 10:00-11:00 GMT
