AI in Treasury & Cash Management

Start Date End Date Venue Fees (US $)
15 Nov 2026 Istanbul, Turkey $ 4,500 Register

AI in Treasury & Cash Management

Introduction

Artificial Intelligence (AI) is transforming treasury and cash management functions by enhancing forecasting accuracy, automating routine processes, improving liquidity management, and supporting strategic financial decision-making. This course provides participants with practical insights into the application of AI technologies within modern treasury operations

Objectives

    By the end of this training program, participants will be able to:

    • Understand the role of AI in treasury and cash management.
    • Improve cash forecasting accuracy using AI-driven tools.
    • Optimize liquidity and working capital management.
    • Identify opportunities for treasury process automation.
    • Enhance financial risk assessment and fraud detection.

    Utilize AI-powered analytics for strategic decision-making. 

Training Methodology

• Interactive presentations
• Case studies and practical examples
• Group discussions
• Treasury simulation exercises
• Demonstrations of AI-powered financial tools

Who Should Attend?

  • Treasury Managers
  • Finance Managers
  • CFOs
  • Financial Controllers
  • Treasury Analysts
  • Cash Management Specialists
  • Financial Planning & Analysis Professionals
  • Finance Transformation Teams

Course Outline

Module 1: Introduction to AI in Treasury

  • Evolution of Treasury Management
  • Fundamentals of Artificial Intelligence
  • AI Applications in Financial Operations
  • Benefits and Challenges of AI Adoption

Module 2: AI-Driven Cash Forecasting

  • Cash Flow Forecasting Techniques
  • Predictive Analytics in Treasury
  • Forecast Accuracy Improvement
  • Scenario Planning and Forecast Modeling

 

 

Module 3: Liquidity & Working Capital Optimization

  • Real-Time Cash Visibility
  • AI-Based Liquidity Management
  • Working Capital Optimization Strategies
  • Treasury Performance Indicators

Module 4: Treasury Risk Management

  • Financial Risk Identification
  • AI for Risk Monitoring and Assessment
  • Fraud Detection and Prevention
  • Compliance and Regulatory Considerations

Module 5: Treasury Process Automation

  • Robotic Process Automation (RPA)
  • Automated Reconciliations
  • Payment Processing Automation
  • Digital Treasury Transformation

Module 6: Data Analytics for Treasury Decision-Making

  • Financial Dashboards and Reporting
  • AI-Powered Decision Support Systems
  • Business Intelligence for Treasury
  • Future Trends in AI and Treasury Management

Accreditation

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