E-Financial
Three Ways Embedded Finance can Drive a Cashless Economy

By Victor Irechukwu, Head of Engineering, OnePipe.
In recent years, non-bank providers have been integrating financial services into various products and services. This enables merchants that have these embedded financial services to interact with their customers in new ways.

Victor Irechukwu, Head of Engineering, OnePipe
Recall Nigeria’s recent cashless experiment? The main problem was not because the country wanted to go cashless, rather, people were unable to pay for goods and services. Yet, embedded finance could have solved this.
There were stories for instance in the poultry industry where thousands of farmers were said to have disposed of their eggs simply because they were dependent on cash. Maybe not individually but the value chain in which they operated was cash dependent. But what if one of the many big players had introduced embedded finance in that value chain?
The European Merchant Bank notes that embedded finance has the opportunity to truly change the financial sector forever, reaching a $138 billion value by 2026. Other estimates value this market in the trillions of dollars over the next decade, and Nigeria can also tap into these potentials in driving a cashless economy.
Here are three possibilities:
Embedded payments
Embedded payments refers to the integration of payments capabilities within an app or a platform that was not primarily designed to offer financial service. What it does is that when users need to make payments within that ecosystem, they need not go outside of it before money can be exchanged.
So, imagine in the midst of all the commotion from Nigeria’s cashless experience, if more organisations providing goods or services had embedded payments, there would have been less worry for Nigerians desperate to find cash. From such platforms, payments could have served a wide range of reasons, depending on what segment of the economy they were serving.
Examples abound in western markets from Starbucks, Uber, Amazon, Google and even WhatsApp which has a payments service.
Having some of such platforms locally, would have provided reputable intermediaries trusted by people expecting to get paid. For emphasis, while the fear of fake transfers remained an obstacle for some people, receiving payment via WhatsApp (for instance), which they already trust and use daily, would have been easier to adopt.
Embedded credit
This works both ways. On one hand, it can enable businesses to extend credit to their customers, allowing them to transact without the need for cash. On the other hand, it can be particularly useful for small businesses, which are already mostly starved of credit, to get access to lending that can keep them afloat when they do not have cash to operate.
What happens when you operate in an industry where vendors are bent on collecting cash before they supply you inputs? This happens a lot, beyond the urban, cosmopolitan areas of Nigeria, where cash still reigns.
In other instances, those coming to buy from you, after you have sourced inputs and produced a thousand eggs, usually only bring cash. However, since their retail side customers did not have access to cash during the cashless period, it means they also didn’t have money to buy from you. As simple as this may sound, it led to the collapse of many businesses.
A solution to both sides of this chaos could have been embedded credit. If enterprises had adopted one platform or the other, which allowed them to embed credit products into their business platforms, they could have been able to allow their consumers to apply for, acquire and repay loans within the platform. They could also have secured credit for their business, maybe in the form of inputs to keep their businesses afloat during the cashless period.
The best part is that they need not invest in custom made technology. These could in fact, be done at, say, cooperative or association levels, and not borne by individuals.
Embedded banking
Imagine paying your Uber driver after a trip, but doing so from your wallet in the Uber App. The driver gets this money but does not need to move it to their ‘regular bank account’. Why? Because the ride-hailing app has a feature for a savings account. This would mean whatever transactions they needed to do from a bank account could now take place from that same Uber app where they picked a customer, got paid and can in turn pay for anything they need.
The payments and credit feature earlier discussed, as well as everything else you can think of in a bank setting, can take place from this facility. This may sound foreign, but an ecosystem like this is possible in Nigeria. It in fact, depicts what could be a perfectly cashless environment. It could even go as far as issuing debit cards, which are linked to that account for them to pay for whatever they somehow can’t do from the app.
Embedded finance can deliver a win-win situation to both businesses that embrace them as well as their customers. The ease of access and low cost to entry is likely to make it viable across social demographics in a place like Nigeria.
E-Financial
CBN Directs Banks to Activate Anti-Money Laundering Systems

Central Bank of Nigeria (CBN) has issued new baseline standards requiring banks and other financial institutions to deploy automated anti-money laundering systems capable of detecting suspicious transactions and financial fraud risks in real time.

The directive, contained in a circular released yesterday, mandates banks, mobile money operators, international money transfer operators and other regulated institutions to implement automated solutions that strengthen monitoring, detection and reporting of suspicious financial activities.
According to the apex bank, the framework establishes minimum technical, governance and operational standards for automated systems used to combat money laundering, terrorism financing and proliferation financing within Nigeria’s financial system.
CBN said the move was necessary as the financial services sector becomes increasingly digital and complex, making manual monitoring methods inadequate for managing evolving financial crime risks.
Under the new framework, deposit money banks (DMBs) are expected to achieve full compliance within 18 months from the date of issuance, while other financial institutions will have 24 months to comply.
Institutions are also required to submit detailed implementation roadmaps to the CBN’s compliance department within three months.
The standards apply to all institutions operating under the CBN’s regulatory purview, although the depth and sophistication of implementation will depend on each institution’s size, transaction volumes, operational complexity and risk exposure.
The framework outlines several minimum capabilities that automated anti-money laundering (AML) systems must possess, including customer identification and verification, sanctions screening, transaction monitoring and case management for suspicious activities.
Financial institutions are also expected to ensure their systems integrate customer data with transaction patterns so that suspicious behaviour can be assessed in the context of a customer’s risk profile.
The CBN said institutions should strengthen identity verification processes by integrating onboarding systems with national databases such as the Bank Verification Number (BVN) and National Identification Number (NIN) platforms to support real-time identity checks.
The framework permits the use of emerging technologies such as artificial intelligence and machine learning to improve the detection of unusual financial patterns.
However, the regulator said such technologies must operate under strict governance frameworks, including independent validation and human oversight.
Institutions deploying AI-based monitoring models will be required to conduct periodic validation to ensure accuracy, reliability and fairness in the detection of suspicious transactions.
The standards also require financial institutions to maintain secure data protection controls, including encryption, role-based access and multi-factor authentication, in compliance with Nigeria’s data protection regulations.
In addition, the systems are to maintain comprehensive audit trails of transactions, alerts, investigations and system activities to support regulatory supervision and forensic investigations.
The CBN said compliance with the framework will be monitored through off-site surveillance, on-site examinations and thematic reviews, warning that institutions that fail to implement the standards may face regulatory sanctions under existing banking and financial crime laws.
E-Financial
Fintechs Gear up to Combat Fraud as CBN Issues Directive on Fraud Detection Solution

The Central Bank of Nigeria (CBN) has directed banks and fintechs to implement automated systems to detect suspicious transactions to strengthen anti-money laundering (AML) and financial crime controls in country’s rapidly growing digital payments sector.

In a circular released on March 10, the apex bank established baseline requirements for AML, fighting terrorist financing, and countering proliferation financing.
The framework applies to deposit banks, mobile money operators, international money transfer operators, payment service providers, and other CBN-supervised entities.
Banks have 18 months to comply, while fintech companies and other financial institutions have 24 months. All affected entities must submit implementation plans within three months.
The new requirements will replace manual monitoring with automated anti-money laundering systems that use artificial intelligence, machine learning, and advanced analytics to spot suspect trends, notify compliance teams, and improve real-time reporting.
Institutions will also be obliged to link these technologies with customer due diligence processes such as Know-Your-Customer and Know-Your-Business checks, sanctions screening, and political risk monitoring.
Nigeria has existing financial crime laws and supervisory organisations. Still, regulators warn that the rapid expansion of electronic payments, valued at hundreds of trillions of naira each year, has outpaced traditional monitoring mechanisms.
Weak financial restrictions have previously enabled crimes. Ramon Abbas, a social media star, was arrested in 2020 for allegedly laundering hundreds of millions of dollars through complicated financial networks.
High-profile corruption cases, including allegations against former oil minister Diezani Alison-Madueke, involved billions in illicit financial flows.
Analysts also highlight the importance of monitoring to track the funding of extremist groups such as Boko Haram and Islamic State West Africa Province.
The CBN said the framework aligns with Financial Action Task Force standards and warned that institutions failing to comply could face sanctions under the Banks and Other Financial Institutions Act.
E-Financial
Court Orders Final Forfeiture of N81.1m Sterling Bank Fraud Funds

Federal High Court sitting in Ikoyi, Lagos, has ordered the final forfeiture of N81,108,143.8 stolen from Sterling Bank Plc following a system glitch that befell the financial institution.

Justice Yelim Bogoro gave the order on Monday, March 9, 2026, directing that the funds be forfeited to the Federal Government of Nigeria in favour of the bank.
The ruling followed a motion filed by the Economic and Financial Crimes Commission (EFCC) through Hannatu U. KofarNaisa, its counsel.
The court had earlier granted an interim forfeiture order on October 2, 2025 and directed that the order be published in a national newspaper for anyone with an interest in the funds to appear and show cause why the money should not be permanently forfeited.
Investigations revealed that the funds were part of more than N2.5 billion stolen by some customers of Sterling Bank following a system glitch that allowed unauthorised transfers.
The glitch reportedly enabled customers to exploit the PAYATTITUDE Global Ltd banking platform to move funds from their accounts even when they were not funded.
The anti-graft agency said it began investigating the case after receiving a petition from Sterling Bank on July 18, 2022.
According to Maina Gapani Gyal, EFCC investigator, more than N2.5 billion was fraudulently transferred and converted for personal use by several bank customers and third-party beneficiaries.
The investigation traced part of the stolen funds to accounts linked to Sulaiman Kehinde Ojora, identified as one of the major beneficiaries of the fraud.
Further findings showed that N43 million was concealed in the account of his friend, Taiwo Oluwaseyi Alawode, domiciled in Access Bank.
N122.2 million was hidden in the account of his wife, Aminat Olatanwa Ojora, domiciled in Sterling Bank.
The EFCC said the bank was unable to recover N295.9 million from the stolen funds because the money had already been withdrawn and converted by customers.
However, investigators were able to salvage N81.1 million, which became the subject of the forfeiture proceedings.
The bank also recovered N490.3 million from its internal ledger during the investigation.
The EFCC informed the court that the interim forfeiture order was published in The Punch on February 19, 2026, inviting any interested party to challenge the forfeiture.
After reviewing the motion and supporting documents, Justice Bogoro ruled that the application was valid.
“Having gone through the motion and attachments, I find the application meritorious and the same is accordingly granted,” the judge held.
The court subsequently ordered that the recovered N81,108,143.08 be finally forfeited to the Federal Government in favour of Sterling Bank.
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