Higher education institutions modernizing admissions and student support.
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Each admissions cycle, 31% of applications are delayed beyond the 14-day SLA due to manual document triage bottlenecks, causing yield loss as competitive admits accept offers elsewhere. Naive AI adoption fails here because admissions decisions carry Title VI, FERPA, and state-level anti-bias statute exposure—any model that surfaces race, gender, or socioeconomic proxies in its summaries creates immediate legal liability, and a generic LLM will hallucinate missing credentials as present.
Advisors spend 58% of their logged time answering repetitive procedural questions (degree requirements, add/drop deadlines, financial aid status) that do not require professional judgment, leaving at-risk students uncontacted. Naive AI adoption fails here because student records live in Ellucian Banner ERP with role-scoped FERPA data access, meaning any LLM with direct DB access would require a full FERPA data-sharing agreement audit and risks exposing one student's record to another's session.
Advisors spend 61% of their time manually cross-referencing Banner transcript data against PDF degree plans to answer routine 'what do I still need?' queries, leaving almost no capacity for high-stakes interventions like at-risk student outreach. Naive RAG over the PDF catalog fails because degree plans contain conditional logic (e.g., 'if transfer credit from a quarter-system institution, substitute 4.5 units for 3'), which flat vector similarity cannot resolve without hallucinating valid substitution paths.
Of 187,000 alumni records, 61% have incomplete engagement history due to data siloed across three disconnected systems, making personalized AI outreach impossible without a data unification step that naive deployments skip. Deploying an LLM directly on raw CRM exports produces hallucinated alumni details and FERPA-violating inferences about academic records, which would expose Hartwell to regulatory liability and destroy donor trust.
Advisors spend 61% of their time on administrative triage—pulling enrollment, financial aid, and grade data from 3 disconnected systems per student—leaving only 39% for actual advising, directly correlated to the 29-point retention gap versus peer institutions. Naive AI adoption fails here because FERPA governs every student record, the 2021 ERP collapse means faculty governance will block any solution perceived as another top-down platform replacement, and 6 of 9 campuses run Banner ERP on-premise with no API layer.