An internal AI copilot that prepares advisors for student meetings by assembling context, surfacing risk signals, recommending questions and next actions, and drafting follow-up work.
Designed for higher education advising centers, community colleges, high-school counseling, and student success teams managing large caseloads across multiple systems.
Compile allowed SIS, LMS, degree progress, attendance, advising notes, and recent interaction context.
Highlight blockers, strengths, recent changes, and relevant timeline events.
Suggest questions, referrals, follow-up tasks, and policy-aligned interventions for advisor review.
Prepare session recap, tasks, and student communications after advisor approval.
Strict role-based access, minimum-necessary student data, field masking, audit logs, and configurable approval rules keep the copilot focused on preparation and recommendation rather than autonomous high-stakes decisions.