Multimodal Prompting: Expanding Beyond Text

This chapter introduces multimodal AI as an emerging capability that enables generative systems to process and integrate diverse data formats—including text, tables, images, financial statements, and structured documents—within accounting and finance workflows. It explains how combining visual, numerical, and narrative inputs enhances analytical depth beyond traditional text-only prompting. Through applications such as financial statement review, invoice processing, contract analysis, and dashboard interpretation, the chapter demonstrates how multimodal models support richer insight extraction and improved anomaly detection. It emphasizes the importance of structured prompt design when integrating visual and tabular data to reduce misinterpretation and hallucination risk. The chapter further discusses practical considerations, including data formatting, validation, and governance when working with sensitive financial information. By positioning multimodal AI as a bridge between unstructured documents and structured financial systems, this chapter expands prompt engineering beyond text and prepares professionals for increasingly integrated analytical environments.