enthalten
Are you a finance leader seeking to optimize cash flow in today's dynamic business environment? Imagine mastering cutting-edge AI tools to revolutionize your cash flow management 鈥� without writing a single line of code.
This action-oriented course, "Master AI-driven Cash Flow Optimization," is designed to empower cash flow managers like you to harness the power of generative AI. We'll demystify the cash flow management cycle and pinpoint strategic opportunities for AI integration. You'll learn essential prompting techniques specifically tailored for cash flow forecasting, receivables and payables automation, and beyond. Discover and explore key AI tools 鈥� both ready-made solutions and customizable options 鈥� and witness live demonstrations showcasing their practical application. Finally, we'll address crucial aspects of risk management and ethical considerations in AI implementation, equipping you with best practices for the future of AI-powered finance. This course is designed for finance professionals responsible for managing and optimizing cash flow within their organizations. Ideal participants include Corporate Treasury Managers, FP&A Directors, Accounts Receivable/Payable Supervisors, and Financial Controllers who are seeking to modernize their financial operations. The course equips them with practical AI-driven tools and strategies to enhance forecasting accuracy, automate workflows, and improve financial decision-making in dynamic business environments. To ensure a successful learning experience, participants should have a solid understanding of cash flow statements and hands-on experience with accounting or ERP systems. A foundational knowledge of AI, including familiarity with tools like ChatGPT or Microsoft Copilot, is also recommended. These prerequisites will help learners effectively engage with AI concepts and apply them within real-world financial contexts. By the end of the course, learners will be able to analyze AI applications in finance and assess their impact on cash flow optimization in key areas like AR, AP, and inventory. They will develop and implement AI-powered dashboards and workflows using low-code tools to automate financial processes and improve forecasting. Learners will also design risk mitigation strategies to navigate uncertainties and potential biases in AI operations. Finally, they will evaluate AI models to ensure alignment with standards such as ASC 230 and IFRS 7, ensuring regulatory compliance and transparency in financial reporting.
