That customers have risen to stand among the biggest threats to
Kenyan firms is a not surprising but a rather puzzling finding for
managers and business owners.
PricewaterhouseCoopers
(PwC), a global consultancy, says in its latest report on economic
crimes that customer fraud constitutes the second biggest source of
losses after internal asset misappropriation or fraud and theft.
The
threat comes in the form of shoplifting, failure to pay for goods
supplied, making the customer a real force to reckon with in terms of
business risk management.
But while most organisations
are familiar with asset misappropriation by insiders, many are still in
the dark about tackling customer fraud -- hence the big focus on the
issue.
The report has singled out financial institutions such as
insurers and banks as the most affected by the customer-driven risk,
especially in situations where there is collusion with insiders.
Cases
of customers making fake insurance claims or borrowers taking unsecured
or poorly secured loans then disappearing into thin air are common in
the financial sector. Many other entities experience similar losses.
Part of preventive mechanisms that institutions can put in place in response to this risk is to know customers well.
We
agree with the report where it recommends that companies should do risk
profiling of customers. This requires every business to identify blind
spots in the oversight of own operations putting in place customer
acceptance procedures.
For instance, customers who have
the propensity to make special requests that involve bypassing an
organisation’s protocols may be considered to be of high risk than those
who fully comply with existing procedures.
Information and communication technology is another tools in the hands of business to detect customer fraud.
Artificial
intelligence tools such as speech recognition and machine learning
software can help arrest economic crimes by establishing behaviour
patterns and the types of transactions that are normal and those that
are not. But organisations must go beyond machines and software to also
focus on people.
There is a need for continuous and
proactive monitoring and analysis of a company’s systems, including
transactions and communications for possible anomalies to curb emerging
fraud.
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