AI in Treasury & Cash Management
| Start Date | End Date | Venue | Fees (US $) | ||
|---|---|---|---|---|---|
| AI in Treasury & Cash Management | 15 Nov 2026 | 19 Nov 2026 | Istanbul, Turkey | $ 4,500 | Register |
AI in Treasury & Cash Management
| Start Date | End Date | Venue | Fees (US $) | |
|---|---|---|---|---|
| AI in Treasury & Cash Management | 15 Nov 2026 | 19 Nov 2026 | Istanbul, Turkey | $ 4,500 |
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
- 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.
By the end of this training program, participants will be able to:
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

