This chapter investigates the convergence of human-centric aspects and artificial intelligence within the sustainable finance and economic behaviours, organizing an outline for the humanized intelligent analytics. As the financial paradigms grasp with associating the environmental, social, and governance factors, the requirements for cutting-edge analytical schemas that encompasses both quantitative information and qualitative human discernments has recently become paramount. We address that fundamental needs in this chapter by specifying the architecture of the human-in-the-loop AI frameworks for enhancing decision-making processes, advance risk assessment, and publicize ethical behaviours in the context of sustainable finance. We additionally incorporate several real-world case studies and illustrative examples to demonstrate how humanized intelligent analytics can be harnessed to various domains. We represent the data visualization aids, including the system architecture, flow of activities, and performance dashboards to elucidate multifaceted concepts and empirical findings. Eventually, we provide a comprehensive AI-human convergence outline in sustainable finance that offers a roadmap for future researchers to elaborate effective and ethically sound intelligent systems for advancement of sustainable finance and promoting an equitable and sustainable economic future.