Accelerator Use Case
Expanding access to care with an AI-powered WhatsApp health concierge
Type:
Health tech start-up
Program:
Turn.io Accelerator
Focus:
Access to care
Location:
Nigeria
Driving membership adoption and improving follow-up in a largely out-of-pocket healthcare system
MDaaS Global built and launched Ask Beacon, a WhatsApp-based AI health concierge linked to its network of 23 diagnostic centres and the EazyLife membership model.
Operating in a context where about 90% of people lack health insurance and pay out of pocket, delayed care and missed follow-ups are common. EazyLife was created as a low-cost annual membership, starting around 10,000 naira, that gives users ongoing access to doctors, discounted tests and medicines, and partner services.
Operating in a context where about 90% of people lack health insurance and pay out of pocket, delayed care and missed follow-ups are common. EazyLife was created as a low-cost annual membership, starting around 10,000 naira, that gives users ongoing access to doctors, discounted tests and medicines, and partner services.
Impact
23
Diagnostic centres
58%
Consult First
6x
Follow-ups
Demo:
Watch MDaaS in action
Work through the Accelerator focused on making this model accessible through a simple WhatsApp-first journey.
MDaaS deployed onboarding, membership sign-up, and doctor booking flows directly on WhatsApp. Users can choose a plan, share details, pay, and book physical or virtual consultations all within the same channel.
The system sends automated reminders and follow-up prompts through WhatsApp, supporting continuity of care after consultations. Ask Beacon provides guided health information, test-related guidance, and directs users to verified partner pharmacies and services at discounted rates.
Early results show strong behaviour change. Between 20 and 35% continued to use the chat-based service alone (as opposed to escalating to a human), when chat was the entry point to care. 58% chose to consult a doctor first rather than self-medicating. Follow-up rates improved sixfold compared to before implementation.
The team is building the system to support multiple Nigerian languages beyond English and integrating scheduling and payment tools to keep the experience seamless.
Early results show strong behaviour change. Between 20 and 35% continued to use the chat-based service alone (as opposed to escalating to a human), when chat was the entry point to care. 58% chose to consult a doctor first rather than self-medicating. Follow-up rates improved sixfold compared to before implementation.
The team is building the system to support multiple Nigerian languages beyond English and integrating scheduling and payment tools to keep the experience seamless.
LLM Models
used
Chat GPT 4.0
Chat GPT 5
AI
Built through the Chat for Impact Accelerator
This project was developed through the Chat for Impact Accelerator, a global programme supporting organisations to design, test, and scale impactful conversational services on WhatsApp.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.
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solutions on WhatsApp?
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