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Businesses that survive next decade will be ones that learned to read risk

Illustration of a business executive climbing a red ladder out of a large word reading DEBT.
A graphic illustration showing a figure navigating corporate debt and financial risk management strategies | The Standard
Shifting from intuition to real-time behavioural data could protect enterprises from quiet liquidity losses and bad debt.

A version of this article appeared on The Standard.

Kenyan and African enterprises are being urged to move away from relying on intuition when extending credit to customers. Most companies still grant credit based on familiar faces, large orders, or simple promises to pay within thirty days. They then spend months attempting to recover capital released in minutes.

The problem facing local businesses is not a lack of opportunity. Walk through markets in Nairobi, and demand consistently outpaces what traders can fund. What harms these enterprises is thin liquidity and credit evaluation systems that fail to anticipate default risks.

Credit intelligence differs significantly from traditional Credit Reference Bureau (CRB) reports. While bureau reports highlight past defaults, they function like a rear-view mirror and fail to explain current customer trajectory. Financial statements show past actions, but customer behaviour reveals the actual cause.

The required behavioural data already exists within routine business operations. It sits unutilised in mobile money transactions, point-of-sale records, Savings and Credit Co-operative Society (SACCO) histories, and invoice clearance rhythms. Most companies generate this daily data yet make high-stakes credit decisions based on gut feel.

Accurately reading risk allows firms to price credit appropriately rather than charging uniform premiums. It transforms debt collection from reactive firefighting to early intervention before a account deteriorates. When default occurs, data clarifies whether to pursue, restructure, or write off the debt.

Consider two motorcycle loan applicants presenting identical deposits. One displays steady daily earnings and clean past repayments, while the second shows irregular income and multiple active loans. Without behavioral evaluation, both receive identical terms, but intelligence allows tailored financing that protects capital.

Adopting these systems does not require transforming into a technology firm overnight. It requires making a deliberate choice to use existing internal data. Building the discipline to evaluate risk creates a defensive operational advantage that competitors cannot easily replicate.

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