An effective end-to-end early warning system (EWS) can reduce human and economic losses that are incurred during and in the aftermath of disasters. However, not all timely warnings result in timely evacuation or early action. Success of any early warning system is ultimately determined by actions of ‘at-risk’ communities. Myriad of social factors influence collective behaviour of a community during disasters. The efficiency of an EWS is also attributed to how well social factors are integrated within the system to create a platform for positive community action. This paper is approached from a practitioner’s perspective where authors have brought learning and insights from early warning projects implemented by Oxfam India in different flood prone geographies in India. From socio-economic factors and gaps to innovative community led approaches in early warning systems this paper analyses various early warning solutions. It discusses case studies where strong people-to-people network has contributed in effectiveness of early warning systems not only at the local level, but also within transboundary communities. It looks into citizen science approach to early warning systems, which places the at-risk and affected communities and their interests at the centre of all decision-making and participation and how these approaches can democratize and streamline universal accessibility to early warnings.