This research explores the integration of Artificial Intelligence (AI) into Social Accounting, a model that measures and quantifies the social value organizations generate for their stakeholders in economical units. Traditionally, Social Accounting is a labor-intensive process, requiring deep engagement with stakeholders and careful analysis of both market and non-market values. By leveraging Generative AI (GenAI) tools like ChatGPT, this study aims to automate and enhance key stages of the Social Accounting process, thereby improving efficiency and evaluating the reliability of the results. The research is set against the backdrop of a case study involving four financial foundations in the Basque Country, where AI was deployed to standardize the identification of value aspects, their grouping into variables, the assignment of proxies, the monetization of these variables, and their alignment with the SDGs. The model adopted for this study involved several iterative steps, including the creation of a specialized AI model, named Social Accounting GPT, tailored to handle the nuances of Social Accounting. This model was built upon a carefully selected database of key documents and was designed to perform tasks such as semantic analysis of stakeholder interviews. The study highlights how AI can significantly reduce the time required for data processing, while also addressing challenges like AI’s tendency towards “laziness” and the generation of “hallucinations,” meaning false but plausible outputs. One of the key contributions of this research is the development of a prompt inventory that can be used by other practitioners in the field of Social Accounting. These prompts were refined through multiple iterations and are documented to ensure they can be effectively used in similar contexts. The findings indicate that while AI can streamline the Social Accounting process, it must be used cautiously, particularly in tasks requiring nuanced human judgment, such as the interpretation of stakeholder emotions or the alignment of social value with strategic goals. The research concludes by proposing future directions for integrating AI into the monetization of market social value and expanding the application of AI tools across different organizational contexts within the GEAccounting network.