This document compiles vendor perspectives gathered by Orchard Finance in 2025 as part of an industry review on AI integration in treasury systems. Each page summarizes a single vendor’s AI use case, implementation method, benefits, and potential challenges to ensure a comprehensive overview.
In this article, Orchard Finance provides a summary of the EU AI Act, the European Union’s comprehensive regulatory framework aimed at ensuring the safe and ethical use of artificial intelligence.
Artificial Intelligence (AI) has rapidly evolved from a tool for analyzing large datasets (Machine Learning) to a mainstream technology with applications like Generative Pre-trained Transformers (GPTs). For Treasury, the Artificial Intelligence Journey is just beginning.
Artificial Intelligence (AI) is making a significant impact across industries, and corporate treasury is no exception. To explore how AI can be adopted effectively in treasury, we spoke with Konstantin Khorev, a finance and technology expert with extensive experience in the field. Drawing on his time at various trading companies and broader roles in this sector, Konstantin offers an insider’s view into what it really takes to bring AI into treasury processes. With a PhD in mathematics and a strong background in technology, data analytics, and system integration, Konstantin is at the forefront of AI-driven treasury innovation.