AI Interface Layer

Our current focus is a lightweight WhatsApp-based interface that supports intake, triage, and follow-up in local language, paired with a real clinician.

• Whether AI can safely handle first-contact intake and symptom clarification  
• Whether clinicians save meaningful time without losing clinical nuance  
• Whether patients trust AI when it is clearly positioned as support, not authority  
• Whether local language support changes access and follow-through  

• Not automated diagnosis  
• Not replacement of clinicians  
• Not a consumer health chatbot  

It already exists where formal systems do not. No new apps. No training burden. Just a familiar interface layered with care logic.

• Whether AI can act as a force multiplier for human care in environments where clinician time is the scarcest resource.
• Whether AI can pre-qualify referrals more effectively than existing systems
• Whether specialists value fewer, higher-quality referrals
• Whether patients will opt into clearly defined private pathways when offered transparently