Role-Based Programme
RB1408

AI-Powered Treasury & Cash Management

Smarter Liquidity Planning, Cash Forecasting & Financial Risk Insights

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Treasury and Cash Management across liquidity monitoring, cash forecasting, banking operations, risk analysis, and reporting.
  • Explore practical prompting techniques for cash-position analysis, forecast commentary, bank information, treasury exceptions, and management reporting.
  • Apply AI to organise treasury information, identify cash-flow patterns, explain movements, and prepare structured decision-support outputs.
  • Identify opportunities to improve cash visibility, forecasting efficiency, treasury reporting, and operational productivity.
  • Recognise financial confidentiality, transaction security, forecasting uncertainty, approval controls, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Cash Flow AnalysisLiquidity MonitoringCash Forecasting SupportBank Data SummarisationTreasury ReportingFinancial Risk AnalysisBasic Workflow Automation

Who should attend

  • Treasury Professionals
  • Treasury Analysts
  • Cash Management Professionals
  • Cash Management Analysts
  • Treasury Executives
  • Corporate Finance Professionals
  • Liquidity Management Professionals
  • Banking Operations Professionals
  • Finance Analysts
  • Working Capital Professionals
  • Treasury Operations Professionals
  • Treasury Managers
  • Treasury & Cash Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of treasury, cash management, or corporate-finance activities
  • Familiarity with cash balances, bank accounts, cash flows, forecasts, or treasury reports is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Treasury and Cash Management
  • Identifying AI applications across liquidity, cash forecasting, banking operations, risk monitoring, and reporting
  • Understanding AI assistance versus Treasury professional judgement and accountability
  • Recognising payment, investment, funding, hedging, and liquidity decisions requiring authorised professional review
Practical activities
  • Mapping common Treasury and Cash Management activities to potential AI applications
  • Comparing a traditional treasury task with an AI-assisted approach

Scenarios

Bank & Cash Data to Liquidity Position

Bank Balances + Expected Inflows + Planned Payments → AI-Assisted Consolidation → Cash Position → Liquidity Gap / Surplus → Priority Actions → Treasury Summary

Participants use AI to organise sample bank and cash-flow information, identify potential liquidity gaps or surplus positions, and prepare a structured treasury summary while retaining all transaction and funding decisions with authorised Finance professionals.

Cash Forecast to Treasury Management Review

Cash Forecast + Actual Movements → AI-Assisted Variance Analysis → Key Drivers → Funding / Liquidity Considerations → Risks → Management Commentary

Participants use AI to compare sample forecast and actual cash movements, identify significant variances, and prepare management commentary while retaining final funding, investment, banking, and risk decisions with authorised Treasury stakeholders.

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