Authors - Eduardo J. Lopez, Angelin Y. Alarcon, Marco Riofrio-Morales, Jose E. Naranjo Abstract - Higher education institutions often face challenges with fragmented student services and the reliance on manual workflows. Although Large Language Models (LLMs) present opportunities for service integration, their application in administrative contexts introduces specific risks, notably “transactional hallucinations” and the potential for unauthorized system actions. To explore potential mitigations for these challenges, this paper presents SUEMas as a proposed alternative: a configuration-driven, multi-agent ecosystem designed to help regulate LLM interactions within university domains. The proposed framework implements a Dynamic Tool Registry aimed at enforcing phase-aware tool exposure, alongside a Closed-World Action Gating mechanism intended to restrict sensitive operations to verified session candidates. Initial evaluations of this proposal indicate that SUEMas can support consistent policy enforcement, achieving high recall in RAG-based tasks under test conditions. Furthermore, the system maintained strong multi-turn coherence while keeping latency low, suggesting that structured security governance might practically coexist with conversational flexibility.
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