The AI Intention Matrix is a framework designed to help AI product teams determine the appropriate role of AI in their features, balancing between augmentation and automation while considering the quality of output required. By clarifying whether a task should be optimized for high-quality results or satisfice with adequate performance, teams can make more informed decisions that enhance user experience and reduce unnecessary costs. The matrix consists of four quadrants that represent different strategies for AI implementation based on these axes.