Role-Based Programme
RB1366

AI for Procure-to-Pay Operations

Purchase Efficiency, Invoice Intelligence & Payment Process Excellence

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

Programme Objectives

  • Develop practical AI capabilities across purchase requisitions, purchase orders, receipts, invoices, exceptions, supplier queries, and payment workflows.
  • Apply AI to analyse P2P transactions, approval delays, invoice mismatches, ageing items, supplier issues, compliance gaps, and process bottlenecks.
  • Use AI to improve exception handling, transaction documentation, supplier communication, reconciliation support, and action tracking.
  • Strengthen Procure-to-Pay performance through cycle-time analysis, process intelligence, compliance monitoring, root-cause analysis, and continuous improvement.
  • Apply responsible AI practices related to supplier data, financial information, invoices, confidentiality, accuracy, fraud risk, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchRequisition AnalysisPurchase Order AnalysisInvoice Exception AnalysisThree-Way Match SupportSupplier Query AnalysisSpend & Transaction AnalysisCompliance Monitoring SupportRoot-Cause AnalysisP2P Performance ReportingExecutive Summarisation

Who should attend

  • Procure-to-Pay Managers
  • P2P Operations Professionals
  • Procurement Operations Managers
  • Procurement Executives
  • Purchase-to-Pay Analysts
  • Accounts Payable Professionals
  • Invoice Processing Professionals
  • Procurement Analysts
  • Purchase Order Management Professionals
  • Supplier Helpdesk Professionals
  • Shared Services Professionals
  • Finance Operations Professionals
  • Procurement Operations Team Leaders
  • Process Excellence Professionals
  • Procurement & Vendor Management Leaders

Prerequisites & Participant Readiness

  • Experience in procurement operations, P2P, accounts payable, purchasing, shared services, or finance operations
  • Familiarity with purchase requisitions, purchase orders, goods/service receipts, invoices, approvals, and supplier queries
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret procurement and financial transaction information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across requisitions, purchase orders, invoice processing, exceptions, and supplier support
  • Understanding how AI complements ERP, procurement suites, AP automation, and workflow platforms
  • Recognising hallucinations, financial inaccuracies, and limitations in transaction decisions
Practical activities
  • Mapping the end-to-end P2P lifecycle to practical AI applications
  • Identifying high-value versus high-risk AI use cases
  • Comparing traditional and AI-assisted P2P workflows

Scenarios

Blocked Invoice Backlog to Payment Recovery Plan

Invoice Backlog → Exception Classification → PO & Receipt Review → Root-Cause Analysis → Supplier/Internal Actions → Prioritisation → Resolution → Payment Readiness

Participants use AI to analyse a simulated backlog of blocked invoices, identify major exception types and root causes, prioritise high-impact cases, and develop a structured payment recovery plan.

High P2P Cycle Time to Process Improvement Strategy

PR Data → Approval Delays → PO Processing → Receipt Gaps → Invoice Exceptions → Control Review → Process Redesign → P2P Improvement Roadmap

Participants use AI to analyse an inefficient Procure-to-Pay process, identify bottlenecks across requisition, ordering, receiving, and invoicing, and develop a structured improvement roadmap.

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