Central Bank of Nigeria has formally recognised artificial intelligence as a tool for fighting financial crime, introducing new rules that require banks, fintechs, and payment companies to deploy automated anti-money laundering (AML) systems.
The guidelines, released Tuesday, mark the first time the regulator has explicitly written AI and machine learning into Nigeria’s AML framework. The move pushes financial institutions away from largely manual compliance processes toward technology-driven monitoring.
The shift reflects how quickly Nigeria’s financial system is becoming digital, with mobile banking, fintech platforms, and instant payments expanding rapidly.
“As financial services become increasingly digitised and complex, manual AML/CFT/CPF controls are no longer sufficient to manage evolving risks,” the CBN said in the framework.
Financial institutions must now deploy automated AML systems capable of conducting risk-based customer due diligence, detecting suspicious activity, and reporting potential violations to regulators including the CBN and the Nigerian Financial Intelligence Unit.
The standards align with recommendations from the Financial Action Task Force and are designed to ensure AML technology delivers measurable effectiveness rather than simply meeting regulatory requirements.
Nigeria was removed from the FATF grey list in 2025 after strengthening its anti-money-laundering framework and improving financial transparency.
AI takes a larger role in financial crime detection
One of the most notable aspects of the guidelines is the explicit recognition of AI and machine learning in financial crime detection.
The CBN encourages financial institutions to use technologies such as anomaly detection, behavioural pattern recognition, and automated risk scoring to identify suspicious transactions. Systems capable of detecting name variations using fuzzy-matching or AI techniques are also recommended.
However, the regulator emphasised that AI systems must remain transparent and subject to governance oversight.
Financial institutions using machine-learning models must conduct independent validation at least once a year to ensure the systems remain accurate and unbiased. Where AI models are used for adaptive learning, institutions must maintain documented governance frameworks that include human oversight and explainability.
Automated systems must also provide clear insights into why a transaction alert was triggered so investigators can understand the factors behind suspicious activity flags.
The requirement reflects broader global concerns about algorithmic transparency in financial compliance systems. Thomson Reuters noted in its 2026 compliance outlook that while AI can strengthen compliance monitoring, human oversight remains essential to maintain accountability and trust in financial systems.
New compliance standards for financial institutions
The framework applies to banks, mobile money operators, international money transfer operators, and other regulated financial institutions.
Institutions must deploy integrated AML platforms capable of performing functions including:
- automated customer due diligence and risk profiling
- sanctions and politically exposed persons (PEP) screening
- transaction monitoring for suspicious activity
- case management and regulatory reporting
- fraud detection across financial channels
These systems must integrate with core banking platforms, customer onboarding systems, and transaction infrastructure to create a unified view of customer risk.
According to the CBN, monitoring tools must assess transactions in the context of a customer’s profile rather than analysing raw transaction data alone.
The guidelines also push financial institutions toward real-time fraud monitoring, particularly across digital payment channels such as cards, electronic transfers, deposits, and lending platforms.
Fraud monitoring controls are expected to operate in real time or near real time to allow institutions to intervene before fraudulent transactions are completed.
The directive comes as fraud in Nigeria’s financial sector continues to rise. Data from the Financial Institutions Training Centre shows fraud losses surged 603% to ₦3.29 billion ($2.27 million) in the first quarter of 2025, with 12,347 cases reported.
Part of a broader anti-fraud strategy
The new rules build on earlier efforts by the CBN to strengthen fraud oversight.
In 2011, the regulator established the Nigeria Electronic Fraud Forum to help financial institutions share information on emerging fraud threats. In 2015, banks were required to set up dedicated fraud desks to assist customers affected by electronic fraud.
In 2023, the CBN strengthened Know Your Customer rules by requiring customers to provide a Bank Verification Number (BVN) or National Identification Number (NIN) to open accounts or wallets.
In 2024, the regulator directed the Nigeria Inter-Bank Settlement System to debit banks that receive fraudulent funds, increasing accountability across the payments ecosystem.
Further guidelines issued in December 2025 require customers to report fraudulent transactions within 72 hours, while banks and fintechs have 16 working days to investigate and process refunds.
The latest framework goes further by encouraging financial institutions to integrate fraud monitoring with anti-money-laundering systems, creating a unified financial crime risk architecture that can identify links between fraud activity and money-laundering operations.
Implementation timeline
Financial institutions must submit implementation roadmaps to the CBN within three months of the circular’s release.
Deposit money banks have 18 months to fully comply with the new standards, while other financial institutions have up to 24 months to implement compliant systems.
The CBN said compliance will be monitored through supervisory reviews and inspections, and institutions that fail to meet the requirements may face regulatory sanctions.