Role-Based Programme
RB1401

AI-Powered Accounts Payable

Smarter Invoice Processing, Vendor Payments & Reconciliation

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Accounts Payable across invoice processing, validation, payment preparation, vendor communication, reconciliation, and reporting.
  • Apply AI-assisted techniques to review invoices, identify exceptions, organise payable data, and support recurring AP activities.
  • Use structured prompting for invoice checks, duplicate detection, payment review, vendor-query handling, reconciliation, and management reporting.
  • Explore AI-supported approaches for identifying processing delays, unusual invoices, payment exceptions, overdue liabilities, and workflow bottlenecks.
  • Build responsible AI-assisted Accounts Payable workflows while maintaining financial accuracy, segregation of duties, vendor-data confidentiality, controls, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Payables AnalysisInvoice Processing AIPayment & Reconciliation SupportVendor Communication AIReporting & Workflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of Finance, Accounting, or Accounts Payable processes
  • Familiarity with invoices, purchase orders, vendor records, payments, or reconciliations is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Accounts Payable
  • Identifying AI applications across invoice processing, validation, payments, vendor support, and reporting
  • Understanding AI assistance versus Finance professional and approver judgement
  • Recognising limitations such as incorrect extraction, hallucinations, incomplete transaction context, and unsupported conclusions
Practical activities
  • Mapping a typical Accounts Payable workflow
  • Identifying repetitive and information-intensive AP activities suitable for AI assistance
  • Comparing a traditional AP task with an AI-assisted approach

Scenarios

Vendor Invoice to Approved Payment

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

Participants use AI to process a sample vendor invoice, identify matching exceptions, and prepare the transaction for authorised payment approval while maintaining financial controls.

AP Data to Process Improvement Plan

Invoice Data + Ageing + Payment Status + Exceptions + Vendor Queries → AI Analysis → Recurring Issues → Bottlenecks → Priority Actions → Management Report

Participants use AI to analyse sample Accounts Payable information, identify recurring processing and reconciliation issues, and prepare a management-ready AP Improvement Plan.

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