The Golden Match team developed an automated eligibility-matching system that proactively identifies students who qualify for campus support programs—including EOPS, CARE, CalWORKs, DSPS, NextUp, Veterans, Golden Promise, and Basic Needs—and notifies them with personalized invitations to opt in or opt out. The solution applies a rules-based eligibility engine that evaluates each student against fixed criteria drawn from FAFSA and CCC Apply data (income, Pell eligibility, enrollment units, first-generation status, foster youth status, and other legal requirements under California Title 5), then stores eligibility determinations and tracking status in Amazon DynamoDB (NoSQL database). For each qualified student, the system generates a personalized email with unique Accept and Opt-out links tracked by DynamoDB tokens, sent via Amazon SES (email delivery), and when students click, Amazon API Gateway (API layer) routes the request to AWS Lambda (serverless compute), which updates the student’s decision in DynamoDB in real time. A staff dashboard hosted on Amazon S3 (cloud storage) polls DynamoDB every five seconds to display program enrollment statistics, individual student responses, and time-based urgency alerts (24-hour yellow warnings, 48-hour red alerts), and the system enforces anti-spam rules—business hours only, three-day intervals, maximum three emails—then flags non-responders for phone outreach after three ignored emails. All data fields use a Slate-ready naming convention with an ep_ prefix, enabling direct CSV export for migration into Golden West College’s existing Slate CRM, so staff can efficiently identify, contact, and track the more than 9,000 eligible students who were previously unaware of or unable to access the support programs that provide textbook assistance, priority registration, dedicated counseling, and financial grants—ultimately increasing program enrollment, demonstrating student need for state funding, and reducing the barriers that keep students from the resources that improve retention and completion rates.