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Emagia Autonomous Finance Summit - 2025, Hyderabad How is AI adoption improving cash flow, and how is it used in today’s business model? AI adoption is increasingly improving cash flow by bringing greater speed, accuracy, and predictability to financial operations. Intelligent systems can forecast incoming payments, identify at-risk receivables, and prioritize collections based on customer behavior and payment history. AI also streamlines invoicing, automates cash application, and flags billing discrepancies early, reducing delays that traditionally slow down working capital cycles. By turning fragmented financial data into real-time insights, organizations gain better control over liquidity and can make faster, more informed decisions about spending, investment, and risk. In today’s business models, AI is being used not just for reporting but for active financial optimization. Companies deploy AI to dynamically adjust credit limits, recommend payment terms, detect fraud, and optimize pricing or discount strategies to accelerate cash inflow. It also supports scenario planning, helping finance teams anticipate how changes in demand, supply chain conditions, or customer behavior may impact cash positions. This shift from reactive tracking to proactive management allows businesses to maintain healthier cash flow while staying agile in rapidly changing markets.