In this era, technology is constantly changing the world; governments must deliver efficient, accurate, innovative, and proactive services. Several case studies confirmed the importance of proactive and intuitive public services over reactive services. Machine learning, AI, IoT, and blockchain are expected to increase this importance in the fourth industrial revolution. Quality of life and wellbeing measurements are also helping governments design and deliver services that help people live better. Proactive and intuitive services focus on delivering services to customers before they ask for it, using available data from both the public and private sectors. On the other hand, traditional reactive services are provided by opening the door and waiting for the customer to come, ask, request, fill forms, submit documents, pay, and then provide the service. The Reactive-Proactive service delivery framework can help design, develop, and deliver services that improve people's wellbeing. The framework will also help visualize the service delivery maturity model. Case studies analysis and in-depth interviews analysis using text analytics were used to clarify and validate the framework's components. The results show that proactive service design requires other components such as ICT infrastructure, data, human capabilities, leadership vision, and supported policies. The Reactive-Intuitive Service Delivery Framework can also be used to mentor government entities on how to transform reactive services into intuitive cognitive services.