Enhancing Corporate Governance with Generative AI
- Trusted Services
- Jul 28, 2025
- 4 min read
Updated: Jul 20
In an earlier article, we discussed how corporate governance processes can be safely managed digitally via end-to-end secured sealed processes in a “digital vault.”
Improving User Experience with AI
How can we enhance user experience and productivity through the smart and safe application of Artificial Intelligence (AI)? This includes Generative AI, Large Language Models, and the latest iteration—AI Agents.
Artificial Intelligence and Machine Learning (ML) are not new concepts. They have been around for decades, especially in applications involving pattern matching and prediction.
The Evolution of AI/ML
Early AI/ML models were used for various applications, such as playing chess, detecting bank fraud, analyzing customer behavior, predicting weather, and medical imaging. They also found military applications. More recently, AI has become integrated into digital cameras, smartphone apps, and even home appliances.
AI/ML has embedded itself into our lives without us really noticing. This is because the tools of AI/ML were primarily in the hands of large organizations. These organizations had the computing power, tools, and skills to build their own application-specific data models. We only interacted with the end results embedded in our everyday devices.
The Game Changer: ChatGPT
ChatGPT from OpenAI changed everything. OpenAI utilized vast computing power to crawl the internet and create a “neural network” model of all that knowledge—a so-called Large Language Model. More importantly, ChatGPT allowed users to make queries and create new content based on the LLM. This is where the term “Generative” in Gen AI originates.
ChatGPT was not the first Generative AI implementation. However, what OpenAI did that was revolutionary was to make ChatGPT freely available to anyone—AI for the masses!
Since then, numerous other offerings have emerged, with one of the most recent being China’s DeepSeek. This innovation took Generative AI to a new level by using significantly less computing power and being much faster to market.
The Rise of AI Agents
Agentic AI is the latest and perhaps most exciting capability. AI Agents are like customized AI chatbots or automated modules that we can embed in other application software. We can even create our own AI agents using everyday tools like MS365 CoPilot.
By asking questions through the smart use of “prompts,” we can leverage Generative AI to create “new” content or help us better understand existing content. Additionally, we can use AI Agents to automate workflows.
Understanding the Risks
While the benefits of Generative AI are significant, there are also risks involved:
Content Authenticity: Content produced by AI LLMs is based on an amalgamation of multiple source documents. When using these tools, we may not always know the source documents or whether they are based on copyrighted content. Even if the source documents are true, the AI model may combine them in a way that is no longer accurate.
Data Privacy: When submitting a prompt, we share some information with the model. This means we must be cautious in the questions we ask, especially when using publicly available models. We may inadvertently share confidential information with a third party. Additionally, our questions may subtly influence the response in a way that introduces bias.
Guidelines for Safe Use of Generative AI
Knowing these risks, we can establish some simple guidelines to use Generative AI safely:
Never share confidential or sensitive information in a prompt with publicly available models like ChatGPT. Fortunately, it is possible to set up private instances of similar models, such as GPT-4, which can be configured correctly for sensitive applications.
Be cautious when using Generative AI for research or creating significant new content. Utilize tools that link to source documents that can be verified, and always verify the results!
Use Generative AI to help understand existing content, such as summarizing emails, documents, or PDF files.
Leverage Generative AI to rearrange, combine, cross-reference, or compare your existing content.
Employ Generative AI to create simple, generic drafts of content that you can easily check for correctness, such as job descriptions or marketing plans.
Always conduct a sanity check against generated content and remember that ultimately, you own it!
Trusted Services and Generative AI
With these guidelines in mind, Trusted Services (TSV) has already established its own private LLM instance for use by TSV staff.
Furthermore, TSV is utilizing LLM APIs to build seamless additional functionality into its Board.Vision corporate governance and compliance platform.
Features of Board.Vision
These features include:
Document Summarization: Summarize a document, enabling users to quickly understand key information without reading the entire document.
Direct Q&A: Ask direct questions of the document and receive answers in natural language, eliminating the need for manual searching or collating.
Instant Translation: Translate sections of the document instantly, making content accessible in different languages.
Content-Based Search: Conduct content-based searches across multiple documents.
AI-Assisted Surveys: Facilitate the creation of surveys using AI.
Natural Language Self-Service: Implement AI Agents for natural language self-service in various areas such as “how to” queries, support questions, and administrative assistance.
All of this occurs within the secure, sealed, encrypted Board.Vision digital vault. Data never leaves a TSV-controlled environment.
Looking Ahead
We look forward to developing other productivity improvements. However, security and safety will always be our top priority. By following the guidelines and leveraging the capabilities of Generative AI, we can enhance corporate governance while ensuring a safe and productive environment.
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