E173: Can we train AI to THINK like a fincrime investigator?
70% of us have already let AI loose on our day-to-day tasks — summarising documents, knocking out images, the usual.Turning it loose on a financial crime investigation is a different question entirely...
10 Syys 24min
E172: Is this the end of beneficial ownership data?
In August 2026, FinCEN made it official: US companies no longer have to disclose who actually owns them.Five years after the Corporate Transparency Act was signed into law as America's "toughest anti-...
3 Syys 26min
E171: How do we put the "human" back into AI processes in fincrime?
You've seen the stories: a big company makes staff redundant, replaces them with a shiny AI feature, then quietly hires them back once it all goes wrong.Why does this keep happening? Swapping human ex...
27 Elo 28min
E170: What does the board need to know about AML?
"AML is a board-level topic." – but is this true in practice?Is this more a provocative challenge than a current statement of fact? Under the EU's incoming AMLR, that may be set to change, but are mos...
6 Elo 34min
Re-Spin: How do we stop MLRO burnout?
MLROs are vital to financial services - a crucial link between companies, the risks they face, and the authorities.The UK’s Financial Conduct Authority have previously sent a warning to hundreds of c...
30 Heinä 30min
E169: Is AMLA *really* on track?
No one said building a regulator from the ground up would be easy.But when the organisation chair, Bruna Szego, describes it as like ‘flying a plane while building it’ – you have to wonder how things ...
16 Heinä 38min
E168: Can following the money disrupt the illegal wildlife trade?
The illegal wildlife trade is the fourth-biggest criminal market on the planet — behind only narcotics, counterfeiting, and human trafficking. And like any criminal trade of that scale, there's a huge...
9 Heinä 31min
