↓28%
Claims fraud reduction in 9 months. Unified intelligence across all 36 states.
Proof Of Delivery
Real delivery. Measurable impact. Across six countries.
We do not describe what AI could do for African institutions. We show what it has already done - with named clients, documented outcomes, and reproducible models.
4×
Faster claims processing after the unified Health Data Lake deployment.
Live
Credit model for IoT-connected smallholder farmers. No formal credit history required.
Real-time
Underwriting intelligence on Pan-African risk data. Pricing accuracy transformed.
0+Youth Trained
0+Leaders
0+AI Solutions
0+Jobs Created
0+Institutions
0Countries
Public Health · Nigeria
NHIS Nigeria
↓0%
Claims fraud · 9 months
0×
Faster claims processing
0%
Beneficiary visibility
Pillar IPillar IIDataInviz™
Business Problem
Fragmented records across 36 states, high claims fraud, and zero real-time policy visibility – creating significant fiscal leakage and coverage gaps for millions of beneficiaries. No unified intelligence layer across the national health system.
Scope of Work
✓Unified Health Data Lake (36 states)
✓AI fraud detection models
✓Real-time intelligence dashboards
✓100+ staff trained
Client Voice
“AICE Africa didn't just deploy a solution – they built the internal capability to sustain and evolve it. That's the difference between a vendor and an architect.”
Director of Technology · NHIS Nigeria · 2024
Agritech · East Africa
SunCulture
Live
East Africa farmer portfolio
CNN/LSTM credit risk model for IoT-connected smallholder farmers with no formal credit history. Mobile, IoT, and climate signal integration. Scalable replication across East African markets.
Reinsurance · Pan-Africa
ZEP-RE
Real-time
Underwriting intelligence deployed
Predictive underwriting and actuarial intelligence on Pan-African risk data. Real-time pricing accuracy and risk exposure management across the Pan-African reinsurance portfolio.