In financial crime compliance, one of the most important questions is not simply “What documents does this customer have?”
It is:
“Does this customer’s economic story make sense?”
This distinction becomes particularly important when assessing entrepreneurs operating across African markets.
A customer may run a profitable trading business, move goods across borders, receive payments through mobile money, use several personal and business accounts, operate from a market rather than a conventional office, and have limited formal documentation.
To a traditional KYC framework, this customer may immediately look unusual.
But unusual does not necessarily mean suspicious.
It may simply mean that the customer does not fit the profile that the financial institution was designed to understand.
The problem with the “traditional” KYC customer
Traditional KYC processes often work best when the customer has:
- A formally registered company;
- A fixed business address;
- Audited financial statements;
- Corporate bank accounts;
- Clearly documented suppliers and customers;
- Predictable transaction volumes;
- Formal employment or documented income;
- Digital records covering most commercial activity.
But this is not necessarily how entrepreneurship works across many African markets.
Informal and small businesses play a major role in African economies, while access to formal financial services remains uneven. The World Bank has highlighted that many African SMEs remain unbanked or underbanked and that access to finance remains a major obstacle.
An entrepreneur may therefore build a perfectly legitimate business without having the documentation that a conventional KYC model expects.
This creates a fundamental AML challenge:
Are we identifying genuine financial crime risk, or are we simply identifying a customer who operates differently from our expectations?
Meet the African entrepreneur who doesn’t fit the template
Imagine an entrepreneur who buys consumer goods from one country, transports them across a regional border and sells them in another.
The business may involve:
- Cash payments;
- Mobile money;
- Informal suppliers;
- Family members helping with operations;
- Multiple currencies;
- Cross-border travel;
- No formal accounting department;
- Limited invoices;
- Personal accounts being used alongside business accounts.
From a conventional KYC perspective, several red flags could immediately appear.
Frequent cash deposits.
Cross-border transactions.
Multiple counterparties.
Different currencies.
Payments involving individuals rather than companies.
Limited supporting documentation.
But none of these factors, individually, proves money laundering.
The entrepreneur could simply be operating within the realities of the local market.
This is where context becomes more important than checklists.
Informality is a risk factor — not a criminal verdict
There is an important distinction between informality and illegality.
The FATF recognises that large informal economies can create vulnerabilities for money laundering, particularly where cash and informal financial services are prevalent. At the same time, FATF guidance warns against inappropriate de-risking and emphasises the importance of understanding individual customer risk.
This distinction matters enormously.
An informal trader may have limited documentation because:
- Business registration is expensive or complicated;
- Formal banking services are inaccessible;
- Customers prefer cash;
- Suppliers operate informally;
- Cross-border trade is based on established personal relationships;
- The business has grown faster than its administrative infrastructure.
None of these automatically makes the entrepreneur a criminal.
In fact, excessive financial exclusion can create another problem.
If legitimate entrepreneurs cannot access regulated financial services, they may become increasingly dependent on cash or informal financial channels — precisely the environments where transparency is more limited. FATF explicitly recognises that inappropriate application of AML controls can contribute to financial exclusion and push activity towards unregulated channels.
The real KYC question: can we explain the customer’s economic story?
A strong KYC investigation should therefore go beyond:
“Does the customer have all the documents?”
It should ask:
“Can I understand how this person makes money?”
For an African entrepreneur, that may require a different investigative approach.
Consider:
1. What does the business actually do?
Understand the products, customers, suppliers, markets and geographical footprint.
A trader moving large amounts of money may be perfectly normal if the business involves high-volume commodities.
2. How does the business generate revenue?
Does the transaction activity correspond with the commercial model?
A small retailer receiving millions in unexplained international transfers would obviously require scrutiny.
But a regional wholesaler handling significant volumes may reasonably generate much larger flows.
3. What does the local market look like?
Analysts need to understand the environment in which the customer operates.
Cash usage, mobile money, informal supply chains and cross-border commerce may be normal features of the local economy.
The question is not whether the customer operates differently from a European corporate customer.
The question is whether the customer’s behaviour is consistent with the economic reality of their business.
4. Who are the counterparties?
Relationships matter.
Repeated transactions with known suppliers and customers may provide a coherent commercial explanation.
Conversely, unexplained counterparties, rapid changes in beneficiaries, circular transactions or links to unrelated businesses may indicate greater risk.
5. Can the customer’s wealth and transaction activity be reasonably explained?
This remains fundamental.
A customer does not need to look like a multinational corporation to demonstrate a legitimate source of funds.
The institution should gather enough information to establish a reasonable understanding of the customer’s economic activity and expected behaviour.
The danger of “Westernising” KYC
One of the biggest challenges for global AML teams is applying a single customer profile to fundamentally different markets.
A European entrepreneur might operate through:
Company → corporate bank account → invoice → bank transfer → supplier.
An African entrepreneur might operate through:
Trader → market → mobile money → cash → transporter → border → wholesaler.
The second model may look much more complicated.
But complexity is not automatically criminality.
If AML professionals interpret every deviation from the first model as suspicious, they risk confusing difference with risk.
This can lead to unnecessary enhanced due diligence, excessive transaction alerts, account restrictions and ultimately customer de-risking.
FATF has repeatedly emphasised that the risk-based approach should be applied on a case-by-case basis, rather than cutting off entire categories of customers simply because they belong to a particular sector or operate in a particular environment.
What should a better KYC approach look like?
The answer is not to lower AML standards.
It is to make them more intelligent.
A risk-based approach should combine:
Customer information + local context + transaction behaviour + commercial logic + independent verification.
For example, instead of automatically treating cash-intensive activity as high risk, an analyst could ask:
- Is cash normal for this sector?
- Does the volume correspond with the customer’s business?
- Where does the cash originate?
- Who are the customers?
- Are deposits consistent with expected turnover?
- Are there unexplained movements immediately after deposits?
- Are funds transferred to unrelated third parties?
- Is there evidence of trade activity supporting the transactions?
This produces a much more meaningful assessment.
Technology can help — but context still matters
Technology can improve the identification of unusual patterns.
Transaction monitoring, network analysis, entity resolution, geolocation data, mobile-money analytics and alternative data sources can help institutions understand relationships that traditional monitoring may miss.
But technology can also reproduce the same problem at scale.
If the underlying model assumes that a legitimate customer should behave like a formal Western business, an algorithm may simply automate the exclusion of customers who do not fit that model.
The solution is therefore not only better technology.
It is better data and better contextual intelligence.
From financial exclusion to financial inclusion
There is an important strategic opportunity here.
Financial institutions should not have to choose between financial inclusion and effective AML controls.
The two can reinforce each other.
A legitimate entrepreneur entering the formal financial system creates an opportunity to:
- Establish a transaction history;
- Improve transparency;
- Build a documented financial profile;
- Access credit;
- Reduce reliance on cash;
- Formalise suppliers and customers;
- Create a clearer audit trail.
The World Bank has similarly highlighted the relationship between informal businesses and limited access to formal financial services.
The objective should therefore be to bring legitimate economic activity into the financial system, while identifying and managing genuine financial crime risks.
The future of KYC in Africa
The African entrepreneur of the future may not fit the traditional KYC template.
They may operate across borders.
They may use mobile money.
They may have customers in several countries.
They may combine formal and informal commercial relationships.
They may have limited traditional documentation but extensive digital transaction histories.
And they may build a successful business without ever looking like the “typical” customer described in a conventional KYC manual.
For AML professionals, this creates both a challenge and an opportunity.
The answer is not to abandon controls.
It is to ask better questions.
Does the customer’s activity make economic sense?
Is the transaction behaviour consistent with the business model?
Can we identify the real source and destination of funds?
Can the risks be understood and mitigated?
And perhaps most importantly:
Are we detecting financial crime — or simply penalising a customer for not fitting our expectations?
Africa’s entrepreneurial landscape is evolving rapidly.
KYC frameworks need to evolve with it.
Because effective AML is not about making every customer look the same.
It is about understanding why they are different — and determining whether that difference represents genuine risk.
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