The outcome is that high quality health care services highly limited in Malawi has been affordability, insufficient infrastructure and very little insurance coverage. Most of the traditional health insurance companies charge services that are absolutely unaffordable for the low income and rural communities in these isolated areas where digital exclusion is compounded with a lack of Smartphone ownership and poor internet connectivity. A lack of tailored services for various health needs, and delays in emergency response, coupled with inefficiencies in manual claim processing, worsen financial vulnerability. Importantly, these, therefore, emphasize the need for innovative, tech-enabled solutions. Evidence-Driven Health furthermore constrains meaningful policy formulation and strategic resource mobilization. Without smart systems, insurance companies do not have the competence to evaluate risks adequately, predict health trends or cut survey costs but fail to deliver sufficiently their output. The aforementioned gaps can adequately be filled through introducing Artificial Intelligence and Machine Learning within the Chitetezo Pa Moyo platform to provide efficient real-time risk assessments, automated claims adjudications, policy recommendations for particular issues in addition to deep user engagement. Such development holds the potential of bridging the digital divide and transforming access for poorer Malawians.