The impact of AI in loan underwriting and collections in Zambia
Zambia's loan underwriting methods can't keep pace with the country’s financial needs. This article explores how AI is being applied to underwriting and collections in Zambia, the limitations it seeks to solve, and the opportunities it presents for building a better financial system.
Why gig workers are denied loans, and how better credit scoring helps
The structure of the global economy is shifting. More people are working short-term gig, freelancing, and relying on digital platforms to earn a living.
When to adopt a collection system and when manual follow-up works better
The decision to move from manual follow up to an automated collection system depends on a mix of volume, customer segments, and the type of engagement the lender wants to maintain.