The article, written by Laurence Moroney, examines the challenges posed by large language models (LLMs) in financial services, particularly their tendency to generate inaccurate or misleading information, known as hallucinations. This issue is critical in finance, where precision is vital, and the consequences of errors can be severe, leading to misinformation, regulatory breaches, and financial losses. To address this, the article explores the potential of integrating AI with blockchain technology, which inherently offers trust and verifiability, to mitigate these risks. Chainlink's initiative, in collaboration with Euroclear, Swift, and several financial institutions, utilizes a consensus model involving multiple LLMs to verify data, which is then stored on the blockchain as a trusted, unified record. This approach not only reduces the risk of hallucinations but also automates the conversion of unstructured financial data into reliable, structured formats, potentially transforming asset servicing processes and reducing costs. The initiative highlights the early stages of a promising solution that leverages AI and blockchain technologies to enhance trust and efficiency in financial services.