AI-Assisted Treasury and Financial Decisions Course
At a glance
- Duration
- 5 days
- Format
- Classroom
- Cities
- Paris, Porto, Langkawi, Abu Dhabi, London, Zanzibar and more
- Next session
- 12 – 16 October 2026, Paris
- Average fee
- 5,800 €
Overview
AI-Assisted Treasury and Financial Decisions Course is a five-day foundation course for treasury managers, cash and liquidity teams, finance leaders, risk analysts, and corporate finance professionals, who leave with an AI-Assisted Treasury Decision and Control Plan. Participants connect cash positions, forecasts, funding, working capital, foreign-exchange and interest-rate exposures, counterparty signals, scenarios, validation, limits, and human approval to accountable treasury actions. Agile Leaders Training Center provides training in AI-assisted treasury and financial decisions.
Who Should Attend
- Treasury teams responsible for cash, liquidity, and funding
- Finance leaders responsible for decisions and approvals
- Risk teams responsible for market and counterparty exposures
- Corporate finance teams responsible for scenarios and funding needs
- Analysts responsible for forecasts and decision evidence
- Control teams responsible for limits, validation, and escalation
The course assumes participants work with treasury or finance information and leaves out investment advice, trading execution, accounting administration, model development, and advanced quantitative finance.
Departments and Industries
The course supports reviewed treasury decisions across corporate and financial organizations.
- Treasury, cash management, and corporate finance functions
- Financial planning, risk, and control teams
- Working-capital and commercial-finance functions
- Banking, insurance, and financial service organizations
- Energy, manufacturing, and infrastructure organizations
- Retail, healthcare, and professional service organizations
Learning Objectives
By the end of this course, participants will be able to:
- Apply decision boundaries to AI-assisted treasury use cases
- Analyze cash, liquidity, funding, and exposure evidence
- Evaluate forecast quality and uncertainty
- Compare treasury scenarios and financial consequences
- Build limits, validation, approval, and monitoring controls
- Build an AI-Assisted Treasury Decision and Control Plan
Course Agenda
Day 1: Treasury Scope and Evidence
- Treasury Decision and Use-Case Register
- Cash Account and Data Source Map
- Treasury Data Quality and Access Check
- Decision Boundary and Approval Matrix
- Control, Privacy, and Audit Evidence Register
Day 2: Cash and Liquidity Forecasts
- Cash Position and Flow Classification Table
- Forecast Driver and Assumption Register
- Forecast Error and Bias Review
- Liquidity Horizon and Threshold Map
- Funding Need and Option Comparison
Day 3: Exposures and Counterparties
- Foreign-Exchange Exposure Register
- Interest-Rate Sensitivity Table
- Counterparty Signal and Limit Board
- Working-Capital Driver Map
- Exposure Evidence Validation Gate
Day 4: Scenarios and Controls
- Treasury Stress and Scenario Set
- Liquidity, Cost, and Risk Tradeoff Table
- Limit, Exception, and Escalation Register
- Decision Rationale and Approval Record
- Treasury Outcome and Monitoring Scorecard
Day 5: Treasury Decision Practice
- Suggested Exercise: Map Cash and Treasury Evidence
- Suggested Exercise: Build and Challenge Liquidity Forecasts
- Suggested Exercise: Analyze Exposures and Counterparty Signals
- Suggested Exercise: Compare Scenarios and Assign Controls
- Capstone Exercise: AI-Assisted Treasury Decision and Control Plan
Practical Exercises
The course uses suggested activities that convert treasury evidence into reviewed financial actions.
- Suggested activity: map decisions, cash accounts, sources, data quality, access, approval rights, and audit needs
- Suggested activity: classify cash flows, document drivers, test forecast error, set liquidity thresholds, and compare funding options
- Suggested activity: analyze currency, interest-rate, counterparty, and working-capital evidence and validate limitations
- Suggested activity: compare stress scenarios, record tradeoffs, set limits and exceptions, assign approvals, and select measures
FAQs
Who suits AI-assisted treasury and financial decisions training?
AI-assisted treasury and financial decisions training suits treasury, liquidity, finance, risk, corporate-finance, analysis, and control teams. It assumes familiarity with financial information and requires no programming.
How does AI treasury training differ from investment finance?
AI treasury training focuses on cash, liquidity, funding, working capital, exposures, counterparties, limits, and controls. Investment finance focuses on securities, portfolios, valuation, and investment recommendations and is outside this course.
Which data supports AI-assisted treasury decisions?
Useful data includes bank balances, receipts, payments, forecasts, facilities, maturities, funding costs, currency positions, interest rates, counterparty exposures, working capital, limits, exceptions, and market context.
Why must treasury teams validate AI cash forecasts?
Human validation checks source completeness, timing, assumptions, one-off items, forecast error, bias, seasonality, scenario changes, missing context, liquidity consequences, and accountable approval.
What belongs in an AI-Assisted Treasury Decision and Control Plan?
The plan includes use cases, cash sources, forecast drivers, liquidity thresholds, funding options, exposures, counterparty signals, scenarios, limits, exceptions, validation gates, approvals, owners, and monitoring measures.
Conclusion
Participants take back an AI-Assisted Treasury Decision and Control Plan connecting cash evidence, forecasts, liquidity, funding, exposures, counterparties, scenarios, and controls. The plan makes assumptions, limits, approval rights, and ownership visible. It supports traceable treasury actions, controlled financial decisions, and monitored outcomes.
credits: 5 credit per day
Course Mode: full-time
Provider: Agile Leaders Training Center
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Events for this Course
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Paris 12 – 16 October 2026
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Porto 12 – 16 October 2026
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Langkawi 18 – 22 October 2026
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Abu Dhabi 19 – 23 October 2026
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London 26 – 30 October 2026
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Zanzibar 1 – 5 November 2026
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Amsterdam 2 – 6 November 2026
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Madrid 9 – 13 November 2026
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Vienna 16 – 20 November 2026
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Baku 23 – 27 November 2026
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Doha 29 November – 3 December 2026
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Dubai 7 – 11 December 2026
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Zoom 14 – 18 December 2026
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Abu Dhabi 14 – 18 December 2026
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Seoul 21 – 25 December 2026
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Johannesburg 27 – 31 December 2026
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London 28 December 2026 – 1 January 2027
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Accra 3 – 7 January 2027
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Istanbul 4 – 8 January 2027
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Vienna 11 – 15 January 2027
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San Diego 11 – 15 January 2027
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Paris 18 – 22 January 2027
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Cairo 25 – 29 January 2027
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Al Jubail 31 January – 4 February 2027
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Tokyo 1 – 5 February 2027
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Kuala Lumpur 8 – 12 February 2027
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Phuket 14 – 18 February 2027
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London 15 – 19 February 2027
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Athens 22 – 26 February 2027
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Marbella 28 February – 4 March 2027
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Rome 1 – 5 March 2027
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Dubai 8 – 12 March 2027
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Barcelona 15 – 19 March 2027
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Casablanca 22 – 26 March 2027
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Amsterdam 29 March – 2 April 2027
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Frankfurt 29 March – 2 April 2027
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Trabzon 4 – 8 April 2027
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Cairo 5 – 9 April 2027
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Manama 11 – 15 April 2027
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Tashkent 11 – 15 April 2027
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Nairobi 18 – 22 April 2027
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Milan 26 – 30 April 2027
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Kuwait 2 – 6 May 2027
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Dubai 3 – 7 May 2027
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Lisbon 10 – 14 May 2027
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Riyadh 16 – 20 May 2027
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Bali 23 – 27 May 2027
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Madrid 24 – 28 May 2027
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New York 31 May – 4 June 2027
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Prague 7 – 11 June 2027
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Montreux 7 – 11 June 2027
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Abu Dhabi 14 – 18 June 2027
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Toronto 20 – 24 June 2027
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Milan 21 – 25 June 2027
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Amman 27 June – 1 July 2027
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Amsterdam 5 – 9 July 2027
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Munich 5 – 9 July 2027
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Chicago 18 – 22 July 2027
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Jakarta 19 – 23 July 2027
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Tbilisi 26 – 30 July 2027
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Barcelona 2 – 6 August 2027
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Abu Dhabi 9 – 13 August 2027
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Kuala Lumpur 16 – 20 August 2027
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Istanbul 23 – 27 August 2027
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Singapore 23 – 27 August 2027
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Geneva 29 August – 2 September 2027
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Bangkok 29 August – 2 September 2027
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London 6 – 10 September 2027
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Muscat 12 – 16 September 2027
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Dubai 20 – 24 September 2027
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Sharm El-Sheikh 27 September – 1 October 2027
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Nice 27 September – 1 October 2027
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Rome 4 – 8 October 2027
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Berlin 4 – 8 October 2027
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Manama 10 – 14 October 2027
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Cape town 10 – 14 October 2027
| Image | Location | Dates | Duration | Mode | Price | Actions |
|---|---|---|---|---|---|---|
|
|
Barcelona |
Week 31, 2027 2 – 6 August 2027 |
5 Days | Onsite | €5,700 | |
|
|
Abu Dhabi |
Week 32, 2027 9 – 13 August 2027 |
5 Days | Onsite | €4,700 | |
|
|
Kuala Lumpur |
Week 33, 2027 16 – 20 August 2027 |
5 Days | Onsite | €5,200 | |
|
|
Istanbul |
Week 34, 2027 23 – 27 August 2027 |
5 Days | Onsite | €4,500 | |
|
|
Singapore |
Week 34, 2027 23 – 27 August 2027 |
5 Days | Onsite | €5,700 | |
|
|
Geneva |
Week 34, 2027 29 August – 2 September 2027 |
5 Days | Onsite | €6,200 | |
|
|
Bangkok |
Week 34, 2027 29 August – 2 September 2027 |
5 Days | Onsite | €6,000 | |
|
|
London |
Week 36, 2027 6 – 10 September 2027 |
5 Days | Onsite | €5,700 | |
|
|
Muscat |
Week 36, 2027 12 – 16 September 2027 |
5 Days | Onsite | €5,700 | |
|
|
Dubai |
Week 38, 2027 20 – 24 September 2027 |
5 Days | Onsite | €4,500 | |
|
|
Sharm El-Sheikh |
Week 39, 2027 27 September – 1 October 2027 |
5 Days | Onsite | €4,100 | |
|
|
Nice |
Week 39, 2027 27 September – 1 October 2027 |
5 Days | Onsite | €5,700 | |
|
|
Rome |
Week 40, 2027 4 – 8 October 2027 |
5 Days | Onsite | €5,700 | |
|
|
Berlin |
Week 40, 2027 4 – 8 October 2027 |
5 Days | Onsite | €5,700 | |
|
|
Manama |
Week 40, 2027 10 – 14 October 2027 |
5 Days | Onsite | €4,700 | |
|
|
Cape town |
Week 40, 2027 10 – 14 October 2027 |
5 Days | Onsite | €4,500 |
Frequently asked questions
What does this course cover?
OverviewAI-Assisted Treasury and Financial Decisions Course is a five-day foundation course for treasury managers, cash and liquidity teams, finance leaders, risk analysts, and corporate finance professionals, who leave with an AI-Assisted Treasury Decision and Control Plan. Participants connect cash positions, forecasts, funding, working capital, foreign…
Are training dates available?
Yes. Available dates and destinations are listed in the course dates section on this page.
How can I register?
Choose an available date on this page and complete the registration form, or send a programme enquiry.
Can I download the course brochure?
Yes. Use the brochure download link provided on this page.
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