04/13/2026 | Press release | Distributed by Public on 04/13/2026 11:21
After spearheading the first North Carolina state government artificial intelligence (AI) pilot program one year ago, the N.C. Department of State Treasurer has now integrated AI into daily department workflow. After the pilot showed increased productivity across two teams using ChatGPT, the department continued testing use cases and multiple AI engines. Now, the testing phase is complete, and training and implementation of AI is taking place throughout the department.
"We have a moral obligation to the taxpayer to use their money wisely. That means improving the efficiency of everything we do as state government, and artificial intelligence is already being used throughout the private sector with stunning results," said Treasurer Brad Briner. "Our 12-week pilot program with OpenAI showed up to 10% increased productivity in certain divisions. We expect that implementing AI tools across the department will replicate that productivity increase across our entire team, leading to a better return for your taxpayer dollars."
Team members across all divisions have gone through training to learn how to maximize the use of AI engines and streamline their day-to-day tasks, while also adhering to the same privacy standards they have always followed. The department has developed a strict policy for the use of AI to keep all personal and private data safe and secure. Data governance and security remain a top priority while the department continues to implement new and innovative technologies.
"It's my team's responsibility to make sure private and personal information never leaks from our department. Safety and security are paramount," said Lawrence Koffa, IT Chief Information Officer. "Throughout the last year we have been testing, learning and preparing to help the department launch this broad modernization effort seamlessly. We are excited to help DST employees find ways to modernize their job functions."
The Department of State Treasurer has multiple divisions, with very different functions. As a result, multiple different engines have been deployed. Examples of use include coding, audit comparisons, deep research, brainstorming, finding hidden data, assisting with legal compliance and the list goes on.
Our information technology team will be tracking our AI use and effectiveness through this transition. This is aimed at helping division leaders adapt and adjust usage as expertise increases and AI continues to change and improve.
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