Colleges and universities are sprawling operations — admissions, student services, research, administration — with many places AI can help and a clear duty to protect student records. The wins are real across the student lifecycle; FERPA and research-data rules set the guardrails. Here’s how, and how dgm implements it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry; academic and policy decisions stay with the institution.)

What AI actually does for higher ed

The honest framing: AI improves the student experience and institutional efficiency — from admissions through advising and operations — while student-data protection governs anything touching records. Some large institutions have already deployed enterprise generative-AI tools across campuses.

High-value use cases

  • Admissions and enrollment chatbots — 24/7 applicant support and nudges.
  • Student-services automation — answering common questions on aid, registration, and campus life.
  • Study and tutoring support — adaptive learning and study-guide generation.
  • Research and administrative support — synthesis, drafting, and back-office automation.

The compliance reality: FERPA and research data

Two overlays shape higher-ed AI:

  • FERPA. Any AI touching transcripts, financial aid, advising notes, or similar PII needs FERPA-compliant contracting (the “school official” exception with appropriate agreements) and transparency to students about what data is collected and why.
  • Research data. Carries additional overlays — IRB/human-subjects requirements and funder/grant data-use terms — that vary by project. AI used with research data must respect those; confirm per use.

dgm builds these controls into the implementation; academic and policy decisions stay with the institution.

How to start

Start with admissions/student-services chatbots or administrative automation — high value, with FERPA-compliant contracts in place. Prove the value, then expand into research or academic uses with the right overlays addressed. dgm’s assessment finds the right starting point.

How dgm helps

dgm implements osFoundry and other AI for US colleges and universities — with FERPA- and research-appropriate controls, focused on student services and administration first, and training your staff. Pricing is fixed and public: a $399 assessment and $3,999/month implementation, with no per-seat fees. If you’d rather explore the platform first, go straight to osFoundry; if you want higher-ed AI done right, that’s where dgm comes in.