Nigeria’s Central
Bank has ordered banks and other financial institutions to deploy automated
anti-money laundering (AML) systems and submit implementation roadmaps within
90 days of a new circular issued on March 10, media outlet Condia reported.
Banks have 18 months to fully deploy automated AML
solutions, while other institutions have 24 months. All must file a detailed
rollout plan with the Central Bank within three months, setting the first
deadline around June 2026.
The rules target rising digital transaction volumes and aim
to tighten monitoring of suspicious activity across the financial system.
The directive covers deposit money banks, payment service
providers, mobile money operators, international money transfer operators, and
other regulated firms.
The Central Bank of Nigeria (CBN) now requires banks and fintechs to deploy automated anti-money laundering (AML) systems to detect suspicious transactions at scale.
Institutions have 90 days to submit a roadmap.
Here’s what the new rule means for the industry:… pic.twitter.com/k21zPCuGQu
— Condia (formerly, Bendada.com) (@thecondia) March 16, 2026
Nigeria’s central lender has gone further than most
regulators by not only insisting on automated AML
systems, but also writing artificial intelligence directly into its rulebook as
a core tool for monitoring financial crime.
Unlike other regimes that treat AI as an optional upgrade,
the CBN’s standards explicitly allow banks and fintech firms to use AI and machine
learning in their AML frameworks.
It mandates annual independent testing of models for
accuracy and bias, and then tie those expectations to fixed deployment
timelines and a 90 day deadline for implementation roadmaps.
AI Allowed, Manual Monitoring Unsustainable
The required systems must connect to customer identity data,
income information, risk profiles, and sanctions screening tools. Institutions
must use these to monitor transactions against expected behavior, support
Know-Your-Customer and Know-Your-Business checks, run investigations, and
generate regulatory reports automatically.
Join the inaugural Finance Magnates Singapore Summit 2026, which will bring together brokers, fintechs, banks, EMIs, wealth managers, and hedge funds across APAC.
The Central Bank says manual monitoring no longer suits a
market that processes millions of digital payments daily.
The framework permits the use of artificial intelligence and
machine learning in compliance, but it requires independent annual testing of
models for accuracy, bias, and performance drift. Supervision will include on-site examinations and off-site
reviews of how institutions use the new systems.
Fintech firms in Nigeria do not sit under a single statute;
instead they fall under a mix of laws and guidelines depending on activity,
with the CBN as the primary supervisor for payments, mobile money, switching,
and related services.
Meanwhile, the CBN operates a tiered licensing framework for payment
service providers and mobile money operators, alongside open banking rules, a
regulatory sandbox, and minimum capital and escrow requirements for various
license categories.
Comparing with Kenya and South Africa
Compared to other jurisdiction in Africa, Nigeria is taking
a more hard‑line, tech‑specific approach. Kenya, for
instance, requires strong KYC and reporting but does not yet force every
fintech or bank to adopt automated or AI‑based monitoring on a national
timetable. Tools and timelines follow a general risk‑based
approach instead.
Read more: Kenya’s CMA Widens Regulatory Net With Robo-Advisory Permits
Elsewhere, South Africa’s AML rules focus on outcomes: firms
must show they understand their risks, know their customers, and report
suspicious activity, and supervisors use inspections and penalties to enforce
this.
But they do not currently tell all banks and fintech firms to implement
automated or AI‑driven AML systems by the same fixed dates as Nigeria.
Nigeria’s Central
Bank has ordered banks and other financial institutions to deploy automated
anti-money laundering (AML) systems and submit implementation roadmaps within
90 days of a new circular issued on March 10, media outlet Condia reported.
Banks have 18 months to fully deploy automated AML
solutions, while other institutions have 24 months. All must file a detailed
rollout plan with the Central Bank within three months, setting the first
deadline around June 2026.
The rules target rising digital transaction volumes and aim
to tighten monitoring of suspicious activity across the financial system.
The directive covers deposit money banks, payment service
providers, mobile money operators, international money transfer operators, and
other regulated firms.
The Central Bank of Nigeria (CBN) now requires banks and fintechs to deploy automated anti-money laundering (AML) systems to detect suspicious transactions at scale.
Institutions have 90 days to submit a roadmap.
Here’s what the new rule means for the industry:… pic.twitter.com/k21zPCuGQu
— Condia (formerly, Bendada.com) (@thecondia) March 16, 2026
Nigeria’s central lender has gone further than most
regulators by not only insisting on automated AML
systems, but also writing artificial intelligence directly into its rulebook as
a core tool for monitoring financial crime.
Unlike other regimes that treat AI as an optional upgrade,
the CBN’s standards explicitly allow banks and fintech firms to use AI and machine
learning in their AML frameworks.
It mandates annual independent testing of models for
accuracy and bias, and then tie those expectations to fixed deployment
timelines and a 90 day deadline for implementation roadmaps.
AI Allowed, Manual Monitoring Unsustainable
The required systems must connect to customer identity data,
income information, risk profiles, and sanctions screening tools. Institutions
must use these to monitor transactions against expected behavior, support
Know-Your-Customer and Know-Your-Business checks, run investigations, and
generate regulatory reports automatically.
Join the inaugural Finance Magnates Singapore Summit 2026, which will bring together brokers, fintechs, banks, EMIs, wealth managers, and hedge funds across APAC.
The Central Bank says manual monitoring no longer suits a
market that processes millions of digital payments daily.
The framework permits the use of artificial intelligence and
machine learning in compliance, but it requires independent annual testing of
models for accuracy, bias, and performance drift. Supervision will include on-site examinations and off-site
reviews of how institutions use the new systems.
Fintech firms in Nigeria do not sit under a single statute;
instead they fall under a mix of laws and guidelines depending on activity,
with the CBN as the primary supervisor for payments, mobile money, switching,
and related services.
Meanwhile, the CBN operates a tiered licensing framework for payment
service providers and mobile money operators, alongside open banking rules, a
regulatory sandbox, and minimum capital and escrow requirements for various
license categories.
Comparing with Kenya and South Africa
Compared to other jurisdiction in Africa, Nigeria is taking
a more hard‑line, tech‑specific approach. Kenya, for
instance, requires strong KYC and reporting but does not yet force every
fintech or bank to adopt automated or AI‑based monitoring on a national
timetable. Tools and timelines follow a general risk‑based
approach instead.
Read more: Kenya’s CMA Widens Regulatory Net With Robo-Advisory Permits
Elsewhere, South Africa’s AML rules focus on outcomes: firms
must show they understand their risks, know their customers, and report
suspicious activity, and supervisors use inspections and penalties to enforce
this.
But they do not currently tell all banks and fintech firms to implement
automated or AI‑driven AML systems by the same fixed dates as Nigeria.
