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Banking Beyond Limits: Artificial Intelligence in African Banking

  • Date
    9 July 2026
    Timeframe
    11:30 - 11:45 CEST
    Duration
    15 minutes
    • Days
      Hours
      Min
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    Banking has continued to evolve over time, and technology has been a key driver of this transformation. Artificial intelligence is no exception. However, AI adoption in banking has been relatively slow, largely because banking remains a highly traditional and heavily regulated industry. Across Africa, adoption has also been constrained by broader challenges such as limited computing capacity and strict data sovereignty requirements. At NBC, progress has been gradual but steady as we continue to explore and integrate AI into our day-to-day operations. Several use cases have already demonstrated clear value. One example is SME loan appraisal through a customer statement analyzer, an AI-enabled tool that reviews bank statements and summarizes key financial metrics to support credit assessment. Another example is unsecured loan scoring, where customer transaction history is analyzed to determine appropriate lending limits. Looking ahead, there is an opportunity to strengthen collaboration by combining banking transaction data with mobile operator data. This could help extend financial services to unbanked populations by enabling credit scoring based on mobile money activity, giving more people access to formal lending opportunities.

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