Bespin Global announced on the 5th that it has launched a new 'Public Institution AI Transition Technology Verification (PoC) and Consulting Service' to support the artificial intelligence transition (AX) of domestic public institutions.
This service builds on AI project experience from various public institutions, including the Ministry of the Interior and Safety's "Everyone's Plaza," the Ulsan Office of Education's "Our AI," Seongdong-gu Office, the Seoul Tourism Foundation, and Korea Hydro & Nuclear Power. Drawing on its accumulated experience and practical implementation cases, the company has developed a specialized AI adoption support system for the public sector.
With the recent proliferation of generative AI technology, public institutions are increasingly adopting AI to improve work efficiency and innovate services. However, the sole use of external large language models (LLMs) poses risks such as information leaks, hallucinations, and unclear accountability, requiring a cautious approach when applying AI to actual administrative tasks.
Considering these issues, Bespin Global proposes a plan to build "trusted generative AI" based on internal documents and data. The core of the service is to assess AI maturity using objective indicators, reflecting the differences in data management methods and system environments across organizations, and to establish a step-by-step implementation roadmap tailored to these criteria.
The consulting process is conducted in four stages. First, the organization's level of AI utilization is divided into five stages: exploration, pilot, application, internalization, and intelligence. The current level is analyzed based on six key areas: business utilization, data linkage, system integration, and security. Based on the analysis, high-impact AI use cases are identified and priority tasks are selected. Key areas of focus include use case scenarios tailored to the specific characteristics of public sector work, such as drafting or summarizing reports and answering questions regarding regulations and guidelines.
The subsequent Proof of Concept (PoC) phase verifies the stability of selected AI use cases in a real-world public network environment. In the final stage, support is provided for system architecture design, RFP (Request for Proposal) generation, and total cost of ownership (TCO) estimation to ensure the continuity of AI adoption projects.
Park Young-jin, Managing Director of Bespin Global's Public Sector Division, explained that the results of an analysis of AI maturity across public institutions revealed differences in adoption levels across various business areas, including administration, tax accounting, field work, and IT. He stated that the company plans to provide an action-oriented AI roadmap that combines technology verification and mid- to long-term expansion strategies to help public institutions move beyond simple pilot implementations and advance to the intelligent stage of AI application in actual operations.
Meanwhile, in the public sector, as digital administration and data-driven policies expand, discussions are actively underway to establish security and data management systems for the introduction of generative AI.
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