Role-Based Programme
RB1402

AI-Powered Accounts Payable

Smarter Invoice Processing, Payment Controls & Vendor Management

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

Programme Objectives

  • Apply AI across Accounts Payable activities including invoice processing, validation, matching, vendor management, payments, reconciliations, and reporting.
  • Use AI-assisted techniques to analyse invoices, purchase orders, receipts, vendor records, payment data, exceptions, and supporting documents more efficiently.
  • Develop structured workflows for invoice intake, three-way matching, exception handling, approval coordination, payment preparation, and period-end close.
  • Improve AP performance through AI-assisted duplicate detection support, ageing analysis, vendor-query management, process analytics, and management reporting.
  • Apply responsible AI practices covering vendor confidentiality, payment security, financial-data accuracy, segregation of duties, access control, and human approval.

Tools covered

Generative AI AssistantsInvoice & Document IntelligenceAccounts Payable AnalyticsVendor Data AnalysisThree-Way Match SupportPayment Exception AnalysisSpreadsheet AnalysisReconciliation SupportAP ReportingWorkflow Automation

Who should attend

  • Accounts Payable Managers
  • Accounts Payable Executives
  • Accounts Payable Analysts
  • AP Accountants
  • Procure-to-Pay Professionals
  • Invoice Processing Professionals
  • Payment Operations Professionals
  • Vendor Management Professionals
  • Finance Operations Professionals
  • Procurement Finance Professionals
  • Financial Accountants
  • Shared Services Professionals
  • Finance Managers
  • Finance & Accounting Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Accounts Payable, finance operations, accounting, or procure-to-pay processes
  • Familiarity with invoices, purchase orders, goods receipts, vendor records, approvals, or payment processes 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, document intelligence, analytics, and automation in Accounts Payable
  • Identifying AI applications across invoice processing, matching, vendor support, payments, and reporting
  • Understanding AI assistance versus authorised Finance and AP decision-making
  • Recognising risks related to incorrect invoices, payment fraud, confidential vendor data, and unsupported conclusions
Practical activities
  • Mapping the Accounts Payable lifecycle to AI-assisted opportunities
  • Identifying repetitive AP activities suitable for AI support
  • Comparing traditional and AI-assisted AP workflows

Scenarios

Vendor Invoice to Controlled Payment

Vendor Invoice → AI-Assisted Data Extraction → Validation → PO & Receipt Matching → Exception Review → Approval → Payment Preparation → Reconciliation

Participants process a simulated vendor invoice from receipt through payment readiness, identify matching and approval exceptions, and prepare the transaction for authorised payment without bypassing required controls.

AP Data to Process & Working Capital Improvement Plan

Invoice Data + AP Ageing + Payment Exceptions + Vendor Queries + Processing Times → AI Analysis → Bottlenecks → Control Gaps → Working Capital Opportunities → Management Report

Participants consolidate Accounts Payable information, identify recurring processing and control issues, and prepare a management-ready AP improvement plan with actions, owners, and priorities.

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