Nigeria’s Central Bank (CBN) has decided that if financial crime is getting smarter, the system fighting it should too, so the regulator has updated its anti-money-laundering rules to formally welcome artificial intelligence and machine learning, for the first time ever, into the country’s financial crime toolkit.
What will the AI actually do? Basically, find patterns. AI tools will analyse customer behaviour, like their transaction histories and account activity, to detect anomalies. For example, if an account that typically makes small transfers suddenly initiates large transfers across multiple jurisdictions, the system can flag it. AI can also recognise name variations that traditional systems might miss.
Why the urgency? Fraud is getting expensive. Data from the Financial Institutions Training Centre (FITC) shows fraud losses jumped 603% to ₦3.29 billion ($2.27 million) in the first quarter of 2025. Plus, Nigeria only recently exited the Financial Action Task Force (FATF) grey list, a category reserved for countries with weaknesses in anti-money-laundering controls, in 2025, and it does not want to go back. On top of that, Nigeria’s financial ecosystem has gone fully digital in recent years, and with that has come a rise in sophisticated financial crime tactics.
The ticking compliance clock: Institutions operating in Nigeria’s financial ecosystem must submit implementation roadmaps within three months, showing how they plan to deploy compliant AML systems. Failure to comply could attract penalties, but that has not been disclosed yet.
For now, sit tight, people, AI is watching.
P.S. Don’t freak out about your data. Banks have long monitored customer activity as part of anti-money-laundering rules, only this time, AI is helping do the watching.
