Districts are increasingly pairing data-driven student support systems with AI tools to redesign interventions and reduce workload for teachers. In one session, North Kitsap School District described using AI alongside real-time academic, behavioral, and attendance data to provide feedback, increase engagement, and improve MTSS interventions—while emphasizing privacy safeguards, trust-building, and alignment to district goals. Other sessions focused on how to operationalize district-wide learning frameworks, mentorship, and early literacy. One webinar lays out strategies for scaling a “Portrait of a Learner” from vision to consistent instruction and evidence across schools, while a separate session promotes strengthening educator retention through mentorship programs designed as structured systems rather than informal buddy models. For higher education audiences connected to teacher preparation and education research, the reporting underscores where K–12 innovation is heading: AI-supported service delivery, system coherence around competencies, and educator development structures intended to sustain staffing.