| Date | Venue | Fees | |
|---|---|---|---|
| 19 - 23 Oct 2026 | Paris - France | $ 5,950 | |
| 14 - 18 Dec 2026 | London - UK | $ 5,950 | |
| 05 - 09 Apr 2027 | Amsterdam - The Netherlands | $ 5,950 | |
| 02 - 06 Aug 2027 | London - UK | $ 5,950 | |
| 18 - 22 Oct 2027 | Paris - France | $ 5,950 | |
| 13 - 17 Dec 2027 | London - UK | $ 5,950 |
Introduction
This Artificial Intelligence (AI) for Treasury & Financial Decision-Making training course equips working professionals with the strategic knowledge and practical capabilities required to leverage Artificial Intelligence (AI), predictive analytics, and intelligent automation within modern treasury and finance environments. The training course focuses on how AI technologies are transforming treasury operations by enabling real-time financial insights, predictive forecasting, intelligent reporting, and data-driven decision-making across increasingly complex and volatile global markets. Participants will gain practical understanding of AI applications in liquidity management, cash forecasting, working capital optimisation, investment analysis, fraud detection, and treasury risk management.
The training course also addresses the growing demand for digital treasury transformation across banking, energy, sovereign wealth, infrastructure, government, and multinational corporate sectors. Participants will explore how machine learning, predictive analytics, digital finance platforms, and intelligent automation can strengthen operational efficiency, improve financial resilience, and support strategic financial planning. Emphasis is placed on aligning treasury innovation with governance, compliance, cybersecurity, and long-term organisational objectives. With strong real-world relevance, the training course enables professionals to modernise treasury functions, strengthen analytical capability, and support future-ready financial leadership.
This Artificial Intelligence (AI) for Treasury & Financial Decision-Making training course will highlight:
- Artificial Intelligence applications in treasury and financial management
- Predictive analytics for liquidity forecasting and cash optimisation
- AI-powered treasury risk management and fraud detection strategies
- Intelligent automation and digital treasury transformation frameworks
- Data-driven investment analysis and strategic financial decision-making
Objectives
At the end of this AI for Treasury & Financial Decision-Making training course, you will learn to:
- Understand how Artificial Intelligence is transforming treasury and financial management
- Apply AI and predictive analytics concepts to treasury operations and financial planning
- Improve liquidity forecasting, cash management, and working capital optimisation
- Evaluate AI-powered treasury technologies and digital finance tools
- Enhance treasury risk management, fraud prevention, and financial resilience
Training Methodology
This training course uses a structured and practical learning methodology that combines treasury management frameworks, AI-driven financial models, predictive analytics concepts, and applied treasury scenarios. Participants will examine treasury transformation strategies, intelligent automation approaches, forecasting techniques, and digital finance technologies relevant to modern financial environments. Emphasis is placed on strengthening analytical capability, improving strategic decision-making, and enabling participants to apply AI concepts effectively within treasury and finance operations.
Organisational Impact
This Artificial Intelligence (AI) for Treasury & Financial Decision-Making training course will enable organisations to:
- Improve treasury forecasting accuracy and liquidity management
- Strengthen financial decision-making through predictive analytics
- Enhance treasury risk monitoring and fraud prevention capability
- Increase efficiency through intelligent automation and digital workflows
- Support treasury transformation and financial innovation initiatives
- Improve organisational resilience in volatile financial environments
Personal Impact
Participants will develop:
- Strong understanding of AI applications in treasury and finance
- Improved analytical and predictive forecasting capabilities
- Enhanced ability to evaluate digital treasury technologies
- Confidence in applying data-driven financial decision-making approaches
- Greater awareness of treasury cybersecurity and governance considerations
- Increased professional credibility in treasury and financial leadership roles
Who should Attend?
This Artificial Intelligence (AI) for Treasury & Financial Decision-Making training course is designed for professionals involved in treasury management, financial planning, investment analysis, and digital finance transformation.
- Treasury Managers and Treasury Analysts
- Finance Directors and CFOs
- Investment Managers and Financial Analysts
- Corporate Finance Professionals
- Banking and Financial Services Professionals
- Risk Management Professionals
Introduction to AI in Treasury & Financial Management
- The evolving strategic role of treasury and finance functions
- Fundamentals of Artificial Intelligence, machine learning, and automation
- AI applications in treasury management and financial operations
- Treasury data analytics, dashboards, and performance measurement
- Digital treasury transformation trends and future treasury models
- Evaluating treasury digital maturity and AI implementation opportunities
Predictive Analytics & Intelligent Cash Forecasting
- Challenges in traditional cash forecasting and liquidity management
- Predictive analytics techniques for treasury forecasting accuracy
- AI-powered working capital and liquidity optimization strategies
- Treasury dashboards, financial visualization, and decision intelligence
- Scenario analysis, stress testing, and forecasting under uncertainty
- Workshop: Building predictive cash forecasting models and dashboards
AI-Powered Treasury Risk Management & Fraud Detection
- Treasury risk exposures and emerging financial risk challenges
- AI-powered financial risk analytics and predictive risk monitoring
- Intelligent fraud detection systems and transaction monitoring
- Cybersecurity, digital finance risks, and treasury control frameworks
- Regulatory governance, compliance, and ethical AI considerations
- Workshop: Treasury fraud detection and AI risk monitoring simulation
AI in Investment Analysis & Strategic Financial Decision-Making
- AI-driven investment analysis and portfolio optimization techniques
- Strategic financial planning and intelligent capital allocation
- Treasury decision intelligence and data-driven financial strategy
- Treasury technology ecosystems, fintech, and digital finance innovation
- Blockchain, cloud treasury systems, APIs, and open banking developments
- Workshop: AI-enabled investment and treasury decision-making exercises
Building the Future Intelligent Treasury Function
- Developing an AI-enabled treasury transformation roadmap
- Treasury operating model redesign and intelligent automation strategy
- Implementing AI technologies and managing treasury transformation projects
- Leadership, innovation, and workforce capabilities in digital treasury
- Future trends shaping intelligent treasury and autonomous finance
- Workshop: Building a treasury AI adoption and implementation strategy
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
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