[Customer Success Story] Generative AI Starts with a Blueprint: AI ISP Consulting for a Public-Sector Institution

A public-sector institution referred to as Institution B used a three-month Information Strategy Planning consulting engagement with Superb AI to prepare for adopting generative AI in a network-isolated environment handling sensitive data. The work involved interviews, surveys, and a data-center assessment to identify workflow needs, security classifications, current infrastructure, and implementation constraints. Candidate commercial and custom large language models were evaluated using shared criteria such as parameter size, context length, training data, and response quality, while the target architecture separated processing paths for general and higher-security data. The proposed on-premises design combined LLMs with retrieval-augmented generation for using internal documents and considered integration methods such as the Model Context Protocol. The engagement also defined needed software components, functional requirements, data-management practices, staffing and schedule estimates, and procurement reference materials, emphasizing that organizational diagnosis and system design should precede final model selection and full implementation.

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