Based upon an extended Technology Acceptance Model (TAM), this study aims to investigate the factors influencing the behavioral intention to adopt Fintech from the perspective of Indonesian women. The research data were collected from 409 Indonesian female respondents and analyzed using the SEMinR statistical data analysis tool. Structural equation modeling (SEM) was used to assess this research’s measurement model and structural model. The result shows that perceived usefulness, perceived ease of use, user innovativeness, attitude, trust, and brand image significantly positively impact behavioral intention to adopt Fintech among Indonesian women. Meanwhile, perceived ease of use, financial literacy, and government support are found to have indirect relationships with behavioral intention. In addition, moderation analysis revealed that the saving habits of women during the COVID-19 pandemic reduced the relationship between their innovativeness and behavioral intention to adopt Fintech. Based on these results, we recommend practical suggestions to the government, policymakers, and aspiring Fintech service providers further to enhance women’s empowerment through digital financial inclusion.