Turning Fragmented Payment Data into Actionable Treasury Intelligence (Deluxe)

In this episode, Craig Jeffery speaks with Nathan Dixon of Deluxe about how treasury and accounts receivable teams can transform fragmented payment data into actionable intelligence. They contrast traditional process-focused approaches with data-centric approaches, exploring how AI and advanced analytics can improve cash application, reduce exceptions, identify payer risk, accelerate forecasting, and uncover trends that would otherwise remain hidden. The discussion examines the role of APIs, AI agents, data normalization, natural language interfaces, and machine learning in modern receivables operations. Nathan explains how organizations can move from reactive exception management to proactive decision-making by leveraging clean, centralized data and AI-driven insights. They also discuss data security, model governance, synthetic data, and practical ways treasury and finance professionals can begin experimenting with AI tools today. Company Websites: Strategic Treasurer: https://strategictreasurer.com Deluxe: https://www.deluxe.com