AfyaRisk 2.0
Enterprise Insurtech & Actuarial AI Platform for Africa
Afya means health in Swahili. AfyaRisk 2.0 is an AI-powered actuarial engine built specifically for the African health insurance market — unifying five critical workflows into a single real-time API platform that any insurer can plug into their existing operations.
The Problem
Risk Mispricing
Underwriters price premiums using static age-based tables with no clinical data — leading to loss ratios exceeding 80%.
Fraud Leakage
Manual claim review catches less than 30% of fraudulent submissions — costing African insurers billions annually.
Reserve Delays
Actuaries calculate IBNR reserves quarterly in Excel — creating regulatory non-compliance risk and delayed disclosures.
Policy Opacity
Agents answer policy questions by searching PDFs manually — slowing claims and degrading policyholder experience.
Siloed Systems
Each workflow runs independently with no shared risk signal — no unified view of a policyholder's true risk.
The Result
Mispriced risk pools · Fraud leakage · Delayed reserves · Underserved policyholders
The Solution — 5 Engines, 1 Platform
Clinical Risk
Random ForestScores patient biomarkers — Low / Medium / High risk tier + 3yr survival probability
Policy Pricing
Actuarial Pure PremiumRisk-adjusted premium using (Frequency x Severity) / (1 - Loss Ratio - Expense Loading)
Fraud Detection
Isolation ForestAnomaly detection on claims — 0 to 100% fraud score + APPROVE / REVIEW / REJECT
IBNR Reserving
Chain-LadderProjects ultimate losses from development triangles — reserve requirement per accident year
Policy RAG
FAISS + TransformersSemantic vector search over policy documents — matched clauses in milliseconds
What Makes AfyaRisk Different
Real-time
All five engines respond under 500ms via REST API
Explainable
Every output includes reasoning — flags, factors, scores
Integrated
Risk score feeds directly into premium calculation
African-first
Premiums in KES, ICD-10 codes for local disease burden
API-first
Any insurer system integrates via standard REST endpoints
No cold start
RAG model preloaded at startup — instant first query
Built with IBM Bob
AfyaRisk 2.0 was engineered end-to-end using IBM Bob as an agentic AI software development assistant — covering architecture specification, backend ML engine development, frontend dashboard, bug diagnosis, performance optimisation, deployment configuration, and documentation. Every engine, every fix, every commit in this repository was produced through Bob.