Generative AI–Powered Authoring Assistant for Enterprise Content Management

Abstract

As businesses keep making a lot of documents, like technical manuals, policy guides, customer communications as well as regulatory filings, the need for content that is accurate, consistent & on time has grown. This has made traditional authoring workflows very less effective along with any harder to scale. Manual drafting often requires a lot of back-and-forth effort, deep knowledge of the institution & constant supervision to make sure everything is done very correctly, all of which slow down output. This study introduces a Generative AI-driven Authoring Assistant designed for enterprise content management to address these kinds of challenges. The system uses large language models, specialized datasets, and contextual retrieval mechanisms to automatically create high-quality text, suggest relevant content from existing these repositories, and follow organizational rules like security measures, stylistic guidelines alongside these regulatory standards. Our system includes supervised fine-tuning on anonymized corporate documents, techniques for prompt-engineering to keep the tone consistent & reinforcement signals to improve factual accuracy. There are both qualitative expert evaluations as well as quantitative measures used to assess things like content coherence, compliance, and time-to-completion requirements across different document formats. The results show that authoring time has gone down a lot, that there is more consistency throughout departments, and that there are a lot less compliance corrections during these review cycles. The solution not only boosts productivity, but it also helps firms keep things running smoothly when teams shift by making it easier to reuse their information by showing content in context and reducing the need for specific subject-matter experts. The study focuses on potential directions, such as integrating multimodal content creation, enabling actual time interaction between people and AI, and improving the assistant's ability to navigate intricate regulatory frameworks. The proposed Generative AI-powered Authoring Assistant shows how smart automation could change the way businesses manage their content by combining speed, accuracy as well as organizational coherence in a way that is easy to use and can grow with the business.