Hyland
232 Case Studies
A Hyland Case Study
aYo, an MTN-backed provider of low-cost micro hospital and life insurance serving over 15 million people across Uganda, Ghana, Zambia and Cote d’Ivoire, faced a major operational challenge: processing high volumes of low-premium claims quickly and affordably (around 30,000 claims/month) across large geographies. The company needed OCR that could read low‑resolution, handwritten medical documents submitted via WhatsApp and a secure platform to manage rules, content storage and orchestration to cut payout times from 9–11 days to a few hours.
Using Hyland’s Alfresco Process Automation in the cloud, integrated with WhatsApp Business, AWS Textract and other ML services, aYo automated claims submission, indexing and task creation so documents no longer require manual download and handling. The solution has slashed processing time and costs, improved customer experience at point of claim, and set the foundation for predictive models and scalable growth as aYo aims to extend low-cost cover to up to 100 million people across MTN markets.
Marius Botha
Group Chief Executive