The University of Rhode Island (URI) is seeking proposals for a comprehensive, cloud-based Transfer Credit Evaluation (TCE) automation solution. The selected vendor will deliver an end-to-end platform that supports the intake, parsing, evaluation, and articulation of both official and unofficial transcripts. Leveraging advanced technologies such as Optical Character Recognition (OCR), Artificial Intelligence (AI), and Machine Learning (ML), the solution must automatically extract transcript data, match it against URI's institutional equivalency rules, and integrate seamlessly with the Student Information System (PeopleSoft) and delivered degree audit platform. This initiative supports URI’s strategic objective to modernize transfer credit operations, improve turnaround time for evaluations, reduce manual processing, and enhance the transfer student experience from initial inquiry through matriculation. The solution must deliver real-time decision support for academic advisors and departmental evaluators, provide transfer students with an interactive self-service portal, and ensure robust data security and FERPA compliance. Functionality must include intelligent articulation workflows, centralized credit rule maintenance, integration with external databases (e.g., TES, Transferology), and automated posting of transfer credits. The platform should support growth in transcript volume, offer scalable batch-processing capabilities, and enable data-informed reporting to support operational planning and policy decisions. The system must also offer native, API-based, or file-based integrations with critical administrative systems including Slate (CRM), Perceptive Content (DMS), and relevant articulation repositories. Ultimately, the solution will help URI ensure transparency, accuracy, and timeliness in evaluating transfer credits while reducing administrative burden and aligning with national best practices for student mobility.
