Embedding AI in ESG-Financial Reporting Systems to Enhance Non-Financial Disclosure Integrity, Assurance, and Investor Decision Relevance

Environmental, Social, and Governance (ESG) disclosures are rapidly becoming a critical component of corporate reporting, driven by regulatory mandates and investor demands for transparency beyond financial performance.Despite the surge in ESG adoption, significant challenges persist in ensuring the accuracy, consistency, and decision relevance of non-financial information.Traditional reporting systems often struggle with fragmented data sources, subjective metrics, and limited assurance frameworks, which hinder the credibility and comparability of ESG disclosures.In this context, Artificial Intelligence (AI) offers transformative potential for enhancing ESG-financial reporting systems by automating data extraction, standardizing measurement, and supporting real-time assurance.This paper explores the integration of AI into ESG-financial reporting systems, focusing on how machine learning, natural language processing, and intelligent automation can be embedded to elevate the integrity and usability of non-financial disclosures.From a broader perspective, the study examines global ESG reporting standards and frameworks (e.g., GRI, SASB, ISSB) and evaluates their compatibility with AI-driven infrastructures.It then narrows the scope to practical implementation strategies for embedding AI models within enterprise reporting workflows-enabling anomaly detection, predictive ESG risk modeling, and automated compliance mapping.The paper also assesses the implications of AI-enabled ESG systems for investor decision-making, emphasizing how enhanced transparency and contextualization of non-financial metrics can improve capital allocation and risk management.Furthermore, ethical and governance considerations are discussed, including model explainability, bias mitigation, and auditability.By aligning AI capabilities with ESG reporting objectives, this research presents a pathway for organizations to strengthen trust, meet regulatory expectations, and support investor needs in an increasingly sustainability-focused financial landscape.