Generative Artificial Intelligence (GenAI) is revolutionizing how individuals collect information for problem-solving in business applications and in everyday life. Two critical concerns in GenAI applications are unhelpful responses and poor quality of interactions due to incomplete understanding of human intentions. We design a sensible GenAI framework to enhance performance through the incorporation of user intent analysis. The novel framework is assessed with exemplary case studies in online education and healthcare applications. Our study provides proof-of-concept for practitioners to improve the ability of GenAI agents to understand user intent and provide more effective solutions from the user’s perspective.