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03 · Digital product / decision systems

Automated loan eligibility & recommendation

Replacing a three-day spreadsheet process with a decision engine built for speed, clarity, and auditability.

Business analysisRules engineData logicDigital lending

The problem

Eligibility decisions lived in Excel, with manual submissions and limited access for Portfolio Managers. The process took more than three days and recommendations were difficult to standardize.

What I did

I gathered requirements across credit, operations, and business teams; converted loan policy into formulas and decision rules; designed new-versus-returning customer flows; defined the data inputs and test cases; and supported engineering through implementation and UAT.

The system

  • Calculates eligibility by loan type and customer segment.
  • Checks BVN and watchlist status before processing.
  • Analyzes statement inflows and outflows.
  • Adjusts recommendations against the requested amount.
  • Generates repayment breakdowns and downloadable reports.
  • Maintains an audit trail of inputs, calculations, and outputs.

What changed

Loan recommendations moved from roughly three days to real-time, giving Portfolio Managers self-service access and making decisions more consistent, transparent, and auditable.

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