Maternal health is a crucial component of policy making and execution as it is closely associated with human capital of the country which ultimately contributes towards development of the country. Though the Maternal Mortality Ratio (MMR) in India is declining gradually, it still has not reached the targeted Sustainable Development Goals (SDG) defined by the UN which targets at reducing MMR less than 70 per 1,00,000 live births by the year 2030. In remote tribal areas, women face challenges in accessing maternal health care services. Difficult terrains, lack of infrastructure, socio-economic factors such as illiteracy, poverty and migration limit accessibility of maternal care to potential beneficiaries. To address the issue and reach out to underserved beneficiaries, the GOI has initiated various health programmes.  Within the Primary Health System, Accredited Social Health Activists (ASHAs) are identified as primary point of contact for delivering maternal health services to the potential beneficiaries, especially in rural tribal areas. To enhance coverage and performance of healthcare services, technological advancement has been increasingly integrated into healthcare delivery. Since most of the mHealth tools are manual and rule based, their ability to provide intelligent, track real-time location of beneficiaries and provide decision support is limited. It also hampers monitoring of Antenatal Care Visits and vaccination schedules of the migrated mother. In the light of inadequacy of existing tools to provide proactive and intelligent maternal health tracking support in tribal areas, present study focuses on the designing of an AI-based intelligent agent which will efficiently manage the task of record keeping, tracking and monitoring enrolled beneficiaries, early identification of high risk pregnancies along with tracking of location of the beneficiary. The present study is exploratory in nature and adopts interdisciplinary approach. It integrates health and artificial intelligence and suggests a conceptual framework and system design for an AI-powered decision-support agent. It will assist frontline health workers and public health systems, specifically in tribal regions for effective delivery of maternal care services. The proposed AI agent will enhance effective provision of maternal health services by the government to the last-mile maternal healthcare delivery