Financial Inclusion with ML
See how AI kenya Solutions helped MicroFinance Kenya improve credit risk assessments with machine learning.
Client Overview
MicroFinance Kenya provides financial services to underserved communities across the country.
The Challenge
Slow, manual loan assessments led to delays and inconsistencies, limiting access to financial services.
Our Solution
We built an ML model to automate and improve credit assessments, using data to make decisions faster and more accurately.
- AI-Powered Scoring: Evaluates creditworthiness with more data, less bias.
- Automated Decisions: Speeds up loan approvals, reducing manual errors.
- Better Accuracy: Reliable predictions with reduced human bias.
The Results
- 85% Faster Processing: Clients get approved quicker.
- More Accurate Assessments: Reduced loan defaults.
- Better Inclusion: More people, especially in underbanked areas, gain access to services.