Role-Based Programme
RB1410

AI-Powered Treasury & Cash Management

Smarter Liquidity Planning, Cash Forecasting & Financial Risk Control

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Treasury and Cash Management activities including cash positioning, liquidity planning, forecasting, banking operations, and treasury reporting.
  • Use AI-assisted techniques to analyse bank balances, cash flows, collections, payments, working-capital drivers, and treasury data more efficiently.
  • Develop structured workflows for daily cash management, liquidity forecasting, bank reconciliation support, funding analysis, and financial-risk monitoring.
  • Improve treasury visibility through AI-assisted variance analysis, scenario modelling, exception identification, and management reporting.
  • Apply responsible AI practices covering financial confidentiality, calculation accuracy, forecast uncertainty, payment controls, access management, and human approval.

Tools covered

Generative AI AssistantsTreasury AnalyticsCash Flow AnalysisLiquidity ForecastingBank Data AnalysisSpreadsheet AnalysisWorking Capital AnalyticsFinancial Risk AnalysisTreasury ReportingWorkflow Automation

Who should attend

  • Treasury Managers
  • Treasury Analysts
  • Cash Management Professionals
  • Finance Managers
  • Corporate Finance Professionals
  • Liquidity Management Professionals
  • Working Capital Professionals
  • Financial Analysts
  • Banking & Treasury Operations Professionals
  • Cash Flow Analysts
  • Finance Operations Professionals
  • Financial Controllers
  • FP&A Professionals
  • Finance & Accounting Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of treasury, cash management, finance, accounting, or banking operations
  • Familiarity with cash flows, bank balances, payments, collections, liquidity, or financial forecasting is helpful
  • Basic spreadsheet and numerical-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in treasury operations
  • Identifying AI applications across cash positioning, forecasting, liquidity, banking, and reporting
  • Understanding AI assistance versus authorised Treasury and Finance decision-making
  • Recognising risks related to confidential financial data, payment instructions, forecasting errors, and unsupported recommendations
Practical activities
  • Mapping the Treasury and Cash Management lifecycle to AI-assisted opportunities
  • Identifying repetitive analytical and reporting activities suitable for AI support
  • Comparing traditional and AI-assisted treasury workflows

Scenarios

Daily Cash Position to Liquidity Action Plan

Bank Balances + Expected Receipts + Scheduled Payments + Funding Facilities → AI-Assisted Cash Consolidation → Short-Term Forecast → Liquidity Gap / Surplus → Scenario Review → Treasury Action Plan

Participants consolidate a simulated multi-account cash position, forecast short-term liquidity, identify potential funding gaps or surplus cash, and prepare a structured treasury action plan for authorised management review.

Treasury Data to Cash & Working Capital Improvement Plan

Cash Forecasts + Receivables + Payables + Bank Data + Forecast Variances → AI Analysis → Cash Flow Patterns → Liquidity Constraints → Working Capital Opportunities → Management Report

Participants combine treasury and working-capital information, identify recurring cash-flow and forecast issues, and prepare a management-ready improvement plan with actions, owners, assumptions, and priorities.

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