UNB · VT · Mid-size bank ($1B to $50B)
Total assets of FDIC-insured bank subsidiaries: $1.6B at the end of 2025
Filings on the SEC website · This bank on Bankgraph
| Report year | Using or planning AI | Explains how AI is controlled | Sees AI as a risk | Other mentions |
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| 2025 |
| In the 2025 report | This bank | Banks of its size |
|---|---|---|
| Using AI now | Yes | 26 of 221 (12%) |
| Explains how AI is controlled | Yes | 55 of 221 (25%) |
| Sees AI as a risk | Yes | 184 of 221 (83%) |
| Mentions generative AI | No | 112 of 221 (51%) |
| Mentions AI agents | No | 18 of 221 (8%) |
4 passages new in the 2025 report, 0 passages from the 2024 report no longer there. The most specific passage is more detailed than last year.
We are piloting and selectively using artificial intelligence and machine learning technologies in limited, primarily internal functions, which exposes us to operational, regulatory, and reputational risks that could adversely affect our business.
We have begun piloting artificial intelligence (“AI”) and machine learning tools in certain internal and support functions, such as data analysis, fraud monitoring support, compliance processes, and operational efficiency initiatives. These technologies are complex and evolving, and our experience with them remains limited. AI systems may produce inaccurate, incomplete, or misleading outputs, or behave in ways that are difficult to predict or explain. Errors or failures in these tools—whether due to data limitations, model design, third‑party technology, or employee misuse—could impair decision‑making, reduce the effectiveness of internal controls, or require us to suspend or modify pilot programs.
The legal and regulatory framework governing AI use in banking is developing and uncertain. Banking regulators have increased focus on governance, risk management, and controls related to emerging technologies, including AI. Although our current AI use is limited, our existing policies, procedures, and internal control frameworks may not fully address the risks associated with AI technologies. If regulators determine that our oversight, documentation, or controls are inadequate, we could be required to enhance governance, incur additional compliance costs, or limit future use of AI tools.
In addition, even limited AI use may create reputational risk. Internal system failures, data issues, cybersecurity incidents, or negative perceptions regarding the appropriateness of AI use in banking could adversely affect our relationships with customers, regulators, and other stakeholders. As we evaluate whether to expand AI use over time, these risks may increase and could have a material adverse effect on our business, results of operations, or financial condition.