Topic · Banking and finance
AI for banks, insurers and mobile money
Financial institutions here run on transaction volumes and fraud patterns that imported models were never trained on. This hub collects our risk, fraud and analytics work for banks, insurers and mobile money operators.
What buyers are deciding
Where does a risk engine sit relative to our core banking system?
How do we detect fraud without blocking legitimate customers?
What data do we already hold that a model can learn from?
Services
What we deliver, how it is scoped, and what you own at the end.
Case studies
Systems already delivered, with the outcomes we can name.
Research and analysis
Our published thinking on this subject.
Core Banking Won't Save You: Why African Banks Need AI-Native Risk EnginesFinance · 9 min readFraud at Mobile Money Scale: AI Detection for a Billion TransactionsFinance · 8 min readInsuring the Uninsured: AI Underwriting for Markets Without Actuarial HistoryInsurance · 9 min readAI in Africa: What Is Actually Deployed, and What Is Still a PilotAfrica AI · 10 min read
Ready to see what this saves you?
Send us the workflow you want fixed. We reply with a scoped quotation, not a brochure.
Most quotations answered within one business day.