Finmo, a treasury operating system for international finance teams, has launched MO AI, a conversational assistant embedded within its platform.
Designed for CFOs, controllers, and finance professionals, MO AI aims to improve the efficiency and accuracy of tasks such as cash management, forecasting, compliance, and reporting across multi-entity, multi-currency operations.
The assistant allows users to perform complex treasury functions using natural language, including retrieving account balances, initiating transactions, analysing payments, and generating reports.
Responses are contextual and immediate, supporting a shift from fragmented processes to a more integrated, real-time workflow.
Built on Finmo’s proprietary Model Context Protocol, MO AI incorporates real-time data, contextual financial interpretation, and the ability to execute actions.
It is designed to understand finance-specific terminology, support authorisation processes, and ensure secure, traceable transactions.
Raj Vimal Chopra, Co-founder and Chief Technology Officer, explained:
“We built MO AI as a domain-specific AI system to tackle the operational complexities of global treasury management. By fusing generative AI, advanced large language models (LLMs), and Finmo’s high-fidelity treasury infrastructure, MO delivers deep intelligence with real-world utility. It understands treasury nuances, enforces strict access controls, and executes real-time actions with full auditability, ensuring security, compliance, and explainability at every step.”
Trained on historical financial transaction data and decision-making patterns, MO AI combines generative AI with domain-specific models to meet the demands of finance teams.
Finmo views MO AI as a step towards more predictive, adaptive treasury operations.
Future developments are expected to include broader automation, deeper integration across financial systems, and personalised learning based on user roles.
Featured image credit: Finmo
