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Advanced Executive Assistant Masterclass Series 3

Artificial Intelligence (AI) in Accounts Payable

From Automated Invoice Capture to Predictive Cash Flow and AP Fraud Analytics

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Revised and Updated: 23 October 2026
Date Venue Duration
30 November - 04 December 2026 Sandton, Gauteng 5 Days
18 - 19 January 2027 Sandton, Gauteng 2 Days
08 - 12 March 2027 Sandton, Gauteng 5 Days
03 - 04 May 2027 Sandton, Gauteng 2 Days
07 - 11 June 2027 Sandton, Gauteng 5 Days

Course Objectives

Who should attend?

Course Outline

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Course Introduction

Artificial Intelligence (AI) is revolutionising Accounts Payable (AP) by automating repetitive tasks, enhancing accuracy, and enabling finance teams to make smarter, faster decisions. From intelligent invoice capture and 3-way matching to fraud detection and predictive cash flow analytics, AI is transforming AP into a strategic value driver. 

 

This practical, hands-on masterclass is designed to take AP and Finance professionals on a journey from foundational AI concepts to real-world implementation. Using live demonstrations, real datasets, and low-code tools that integrate with common ERP systems, participants will gain the skills, artefacts, and strategies to embed AI in their AP processes for measurable impact. 

Course Duration Options

This Artificial Intelligence (AI) in Accounts Payable is available in two formats, so you can choose the depth that fits your time and needs:

2-Day Essentials Core Foundations

Core AI foundations, intelligent invoice processing, essential analytics and fraud controls, and a first-draft AP AI roadmap.

Ideal for: Those who need practical, immediate capability without an extended time commitment.

5-Day Comprehensive Full Depth

The full curriculum with dedicated days for each phase — foundations, invoice processing, analytics/forecasting, risk/fraud controls, and implementation — including full hands-on practicals and templates.

Ideal for: Finance transformation leaders and AP managers seeking end-to-end execution, interactive practicals, and deployment-ready AI templates.

Course Objectives

By the end of this Artificial Intelligence (AI) in Accounts Payable programme, you will be able to:
 
  • Demystify AI/ML: Clearly explain AI and machine learning concepts, with concrete examples in AP
  • Transform Invoice Processing: Deploy AI for automated invoice capture, coding, matching, and exception handling
  • Build Smart Dashboards: Design and develop AP dashboards with advanced KPIs, anomaly detection, and predictive analytics
  • Combat Fraud and Error: Detect duplicates, identify ghost vendors, and spot suspicious transactions using both rules and machine learning
  • Optimise Working Capital: Leverage AI to enhance budgeting, cash flow forecasting, and payment scheduling
  • Strengthen Risk Controls: Design AP fraud scenarios and implement continuous control monitoring with AI
  • Integrate Seamlessly: Connect low-code AI/RPA solutions to leading ERP and collaboration platforms
  • Lead Ethically: Address ethical, transparency, bias, and data privacy issues (POPIA/GDPR) in financial AI applications
  • Champion Change: Drive transformation by building the skills, roles, and operating models needed for an AI-enabled AP Centre of Excellence
  • Deliver Results: Produce a 90-day AP AI roadmap and business case tailored to your organisation

Who should attend?

  • Accounts Payable Managers, Team Leaders, and Practitioners
  • Finance Executives (CFOs, Finance Directors, Financial Controllers)
  • Accountants & Management Accountants
  • Auditors, Compliance, and Internal Control Officers
  • Financial and Business Analysts
  • Risk Managers and Fraud Prevention Specialists
  • IT & Digital Transformation Professionals Supporting Finance
  • Shared Services & BPO Team Leads
  • Procurement, Vendor Master & Supply Chain Stakeholders
  • Consultants and Advisors in Financial Process Automation

Targeted Competencies

  • Applied AI & ML for Finance
  • Data Preparation & Interpretation
  • Automated Bookkeeping & Real-Time Reporting
  • Fraud & Anomaly Detection
  • Predictive Cash Flow & Payment Analytics
  • Risk & Control Automation
  • KPI Design & Visualisation (Power BI/Excel)
  • ERP & RPA Integration
  • Financial Data Privacy & Governance
  • Vendor Experience & Self-Service
  • Strategic Planning for AI in Finance
AI and Digital Management Courses

Training Methodology

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.

Training Outline

2-Day Essentials Programme

DAY 1 — Foundations, Invoice Processing, and Data Readiness
AI Foundations and Data Readiness
  • AP value chain overview: invoice to payment & reporting
  • Key AI/ML concepts for finance: supervised/unsupervised learning, NLP, OCR, anomaly detection
  • Data governance essentials: POPIA/GDPR, data minimisation, retention, auditability
Intelligent Invoice Processing & 3-Way Match
  • Document AI & OCR for invoice data extraction
  • AI-powered coding & approvals; exception workflows
  • Duplicate detection: rules vs. machine learning, vendor & IBAN validation
  • Outcomes: Practical: building a baseline AP KPI model in Power BI, and duplicate/exception detection with Excel.
DAY 2 — Analytics, Fraud Controls, and Your Roadmap
Analytics, Forecasting & Working Capital Essentials
  • Designing effective AP KPIs: exception rate, 3-way match cycle, touchless processing
  • Predictive analytics essentials: cash flow, payment scheduling, dynamic discounting
AI-Driven Risk Management & Fraud Controls Essentials
  • Common fraud schemes: shell vendors, split invoices, control overrides
  • Continuous Controls Monitoring (CCM): real-time alerts & ML signals
  • Outcomes: Practical: building a risk scoring dashboard in Power BI.
Your AP AI Roadmap
  • Evaluating and selecting AP/AI tools
  • Building the case for an AI-enabled AP function
  • Drafting the first version of your own AP AI roadmap
  • Outcomes: Deciding whether the 5-Day Comprehensive programme is the right next step for full implementation depth.

5-Day Comprehensive Programme

Day 1: Foundations – AI for AP & Data Readiness
Morning
  • AP value chain overview: invoice to payment & reporting
  • Key AI/ML concepts for finance: supervised/unsupervised learning, NLP, OCR, anomaly detection
  • Data governance essentials: POPIA/GDPR, data minimisation, retention, auditability
  • Data quality in AP: vendor master, chart of accounts, PO policy, receipt integrity
Afternoon (Practical)
  • Practical: clean AP datasets in Power Query; build baseline AP KPI model in Power BI.
  • Case Study: AP transformation — shared services before & after.
  • Outcomes: Data quality checklist, foundational dashboard scaffold.
Day 2: Intelligent Invoice Processing & 3-Way Match
Morning
  • Document AI & OCR for invoice data extraction (VAT, line items, confidence scoring)
  • AI-powered coding & approvals; exception workflows
  • Strategies for duplicate detection: rules vs. machine learning, vendor & IBAN validation
Afternoon (Practical)
  • Practical: duplicate/exception detection with Excel & Power BI.
  • Demo: build a low-code AP workflow (Power Automate/UiPath).
  • Template: AP exception management playbook & SLAs.
  • Outcomes: Automation blueprint for AP intake, validation, and routing.
Day 3: Analytics, Forecasting & Working Capital
Morning
  • Designing effective AP KPIs: exception rate, 3-way match cycle, touchless processing
  • Predictive analytics: cash flow, payment scheduling, dynamic discounting
  • Supplier performance & terms optimisation
Afternoon (Practical)
  • Practical: AP aging & cash flow forecast dashboard (Power BI).
  • What-if analysis: impact of discount policies & term changes.
  • Case Study: real-world working capital improvement.
  • Outcomes: Analytics for treasury/supplier negotiations.
Day 4: AI-Driven Risk Management & Fraud Controls
Morning
  • Common fraud schemes: shell vendors, split invoices, control overrides
  • Continuous Controls Monitoring (CCM): real-time alerts & ML signals
  • Model risk: explainability, managing false positives/negatives, audit trail
Afternoon (Practical)
  • Practical: build risk scoring & control dashboards (Power BI).
  • Design practical fraud response workflows.
  • Outcomes: Actionable CCM, stronger fraud detection, audit readiness.
Day 5: Implementation, People, & the AP AI Roadmap
Morning
  • Evaluating & selecting AP/AI tools; integration strategies with ERP & e-invoicing
  • Building an AP Centre of Excellence: new roles & skills for AI in AP
  • Change management: upskilling, communication, handling resistance
  • Measuring benefits: ROI tracking, in-house vs. outsourcing decisions
Afternoon (Practical Exercise Project)
  • Practical: assemble an end-to-end AP AI mini-solution.
  • Present your implementation roadmap & business case.
  • Individual feedback & personal action planning.
  • Outcomes: Executive-ready collateral, clear path for AI-enabled AP.

Course Categories

Office Administration Courses ❯ Audit, Risk And Governance ❯ Compliance Courses ❯ Finance Courses ❯ Human Resources Training & Development ❯ View All Course Categories ❯

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FAQs – Artificial Intelligence (AI) in Accounts Payable

Master AI-driven invoice processing, optical character recognition (OCR) automation, automated exception handling, and predictive fraud detection to streamline accounts payable workflows and reduce operational errors.

What is covered in the Artificial Intelligence (AI) in Accounts Payable course?
The course covers automated invoice processing, optical character recognition (OCR) data extraction, AI-driven three-way matching, duplicate payment prevention, automated fraud detection, vendor management automation, and accounts payable workflow optimization.
Who should attend this AI in Accounts Payable Training?
This training is designed for accounts payable managers, finance leaders, financial accountants, shared services heads, internal auditors, procurement professionals, and ERP/finance systems specialists aiming to modernize payables processes.
How does artificial intelligence eliminate manual invoice processing errors?
Delegates learn how intelligent document processing (IDP) algorithms capture, classify, and validate line-item invoice data automatically, eliminating manual entry mistakes and drastically shortening approval lifecycles.
Will delegates learn how AI detects invoice fraud and duplicate payments?
Yes. The curriculum explores machine learning anomaly detection techniques that flag suspicious invoice patterns, modified bank details, duplicate billings, and unauthorized transactions before payments are disbursed.
Does the course address integration with existing ERP and accounting systems?
Yes. The training examines seamless integration frameworks between AI-powered accounts payable tools and enterprise resource planning systems such as SAP, Oracle, Microsoft Dynamics, and Sage.
Why is adopting AI essential for modern accounts payable teams?
Automating accounts payable reduces processing costs per invoice, secures early payment discounts, improves vendor relationships through timely settlements, and frees finance teams to focus on strategic cash flow analysis.

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