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 Regulation to Code – Leveraging Generative AI to Summarize, Translate, and Codify Emerging Regulations

Compliance with emerging regulations is daunting yet critical, especially in highly regulated industries like finance, healthcare, and telecommunications. The traditional approach of manually interpreting, translating, and codifying new regulations is time-consuming and prone to errors that could lead to costly legal and financial repercussions. To address this challenge, leveraging Generative AI presents a groundbreaking solution that transforms how organizations adapt to regulatory changes, making the process faster, more accurate, and scalable.

Cloudly focuses on implementing a GenAI system that works with human experts to streamline the summarization, translation, and codification of new regulations. The AI starts by analyzing and summarizing complex regulatory documents using NLP, extracting the key points and implications relevant to the organization. It then translates these summaries into technical requirements that developers and system architects can easily understand. By mapping these requirements to existing systems, the AI identifies the areas that need updates to comply with the new regulations. Human experts play a crucial role in this process, reviewing and refining the AI’s outputs to ensure accuracy and alignment with organizational policies before final codification. Organizations can achieve faster compliance by automating much of the regulatory update process, reducing the time and effort required to implement changes. The human-in-the-loop model ensures that AI-generated outputs are thoroughly vetted, minimizing the risk of errors. Furthermore, this solution is highly scalable, allowing organizations to handle increasing regulatory changes without a corresponding rise in manual workload. The cost efficiencies gained by reducing the need for extensive manual interpretation and coding also make this an attractive option for businesses looking to optimize their compliance efforts.

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