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Journal entry examines financial intelligence gap in Kenya's mobile money, suggesting AI integration for improvement.
This journal entry examines the financial intelligence gap sitting on top of Kenya's advanced mobile money ecosystem. Despite over 58 million M-Pesa users and a thriving SACCO sector, no AI layer exists to help individuals, traders, and small businesses make sense of their own financial data. Senti AI addresses this directly — a domain-specific financial intelligence system built to calculate, analyse, plan, and execute financial work across four modes: Advisor, Analyst, Planner, and Operator. Delivered via WhatsApp, USSD, and SMS, and governed entirely by Kenyan law, Senti AI represents the first step toward a foundation model trained from scratch on African financial data.
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Juma et al. (2026) studied this question.
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