Role-Based Programme
RB1403

AI-Powered Accounts Payable

Intelligent Invoice Processing, Payment Controls & AP Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across invoice processing, vendor-account management, payment preparation, reconciliation, exception handling, and AP reporting.
  • Use AI to analyse invoices, purchase orders, goods receipts, vendor records, payment terms, expense data, account statements, and transaction histories.
  • Build repeatable AI-assisted workflows for invoice capture, validation, matching, exception routing, duplicate detection, payment scheduling, reconciliation, and reporting.
  • Apply AI to identify invoice errors, duplicate payments, unmatched transactions, overdue liabilities, process bottlenecks, and opportunities to improve payment efficiency.
  • Design responsible AI-enabled Accounts Payable workflows with appropriate controls for financial accuracy, fraud prevention, segregation of duties, approvals, confidentiality, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIOCR & Data ExtractionSpreadsheet & Data AnalysisAccounts Payable SystemsERP & Financial SystemsInvoice Processing ToolsReconciliation ToolsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Accounts Payable Managers
  • Accounts Payable Analysts
  • Accounts Payable Executives
  • AP Specialists
  • Invoice Processing Professionals
  • Procure-to-Pay Professionals
  • Finance Operations Professionals
  • Shared Services Finance Professionals
  • Vendor Accounts Professionals
  • Payment Operations Professionals
  • Finance Managers
  • Financial Controllers
  • Reconciliation Analysts
  • Finance Transformation Professionals
  • Accounts Payable Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Accounts Payable, finance operations, procurement-to-pay, or accounting processes
  • Familiarity with invoices, purchase orders, vendor records, payments, reconciliations, and approval workflows
  • Basic proficiency with spreadsheets, ERP systems, financial reports, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, OCR, and AP automation
  • Mapping AI opportunities across invoice processing, matching, payment, reconciliation, and reporting
  • Understanding AI assistance versus accountable financial decisions
  • Recognising fraud, financial-accuracy, confidentiality, and control risks
Practical activities
  • Mapping an existing Accounts Payable workflow
  • Comparing manual and AI-assisted AP activities
  • Creating an Accounts Payable AI opportunity matrix

Scenarios

Vendor Invoice to Controlled Payment

Vendor Invoice → AI-Assisted Data Extraction → Validation → PO / Receipt Matching → Exception Review → Approval → Payment Scheduling → Payment Control → Reconciliation → Closure

Participants use AI-assisted techniques to manage a simulated invoice-to-payment cycle, identify data and matching exceptions, support approval, and complete reconciliation while retaining final payment authority with authorised finance professionals.

AP Data to Procure-to-Pay Optimisation

Invoices + Purchase Orders + Vendor Data + Exceptions + Payment History + AP Ageing → AI Analysis → Processing Bottlenecks → Duplicate & Control Risks → Priority Actions → Automated Follow-Up → AP Dashboard → Management Review

Participants design an AI-enabled Accounts Payable workflow that consolidates invoice and payment information, identifies control and process issues, automates suitable administrative activities, and strengthens financial visibility while retaining final vendor and payment decisions with authorised finance professionals.

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