Optimizing Accounts Payable with
Artificial Intelligence (AI)
20 – 24 July 2026
Sandton Centre
Johannesburg South Africa
Register Now! Limited Seats Available!
R19, 999.00 Per Delegate
Course overview:
In today’s fast-paced and digitally driven financial environment, organizations are under increasing pressure to streamline operations, reduce costs, and maintain compliance. Accounts Payable (AP) is a critical function within finance departments that directly impacts cash flow, vendor relationships, and organizational efficiency. However, traditional AP processes are often burdened with manual data entry, paper invoices, delayed payments, and increased risk of errors and fraud.
The emergence of Artificial Intelligence (AI) is transforming how AP functions are managed. Through intelligent automation, machine learning, natural language processing, and predictive analytics, AI enables organizations to automate routine tasks, accelerate invoice processing, and detect irregularities in real time. It empowers finance professionals to shift from reactive, manual operations to proactive, insight-driven decision-making.
Course Objectives:
By the end of the course, participants will be able to:
• Understand AI applications in the accounts payable process.
• Implement automated invoice capture and matching systems.
• Use AI tools to detect payment fraud and control risk.
• Improve AP cycle efficiency using intelligent workflows.
• Interpret AI-generated insights to support decision-making.
• Evaluate and implement AP automation tools and platforms.
Who Should Attend:
• Accounts Payable Officers/Managers
• Finance and Accounting Professionals
• ERP and Finance System Administrators
• Procurement and Invoice Processing Teams
• Internal Auditors & Compliance Officers
Course Outline:
Day 1: Foundations of AI in Finance & Accounts Payable
• Introduction to Artificial Intelligence (AI), Machine Learning (ML), and Intelligent Automation
• Challenges in Traditional Accounts Payable Processes
• Role of AI in Modernizing AP
• Case Studies of AI in AP across industries
• Overview of Intelligent AP Solutions (e.g., SAP, Oracle, Tipalti, AvidXchange)
Day 2: AI-Driven Invoice Processing & Automation
• Optical Character Recognition (OCR) and Intelligent Document Processing (IDP)
• Automated invoice scanning, capture, and categorization
• Three-way matching automation using AI
• Setting up smart workflows for approvals and validations
• Integrating AI tools with ERP systems
Day 3: Payment Fraud Prevention & Risk Management
• Common payment fraud schemes in AP
• Machine learning models for anomaly detection
• AI-based vendor validation and duplicate payment prevention
• Implementing AI alert systems for suspicious activity
• Compliance with audit trails and AI-aided reporting
Day 4: Predictive Analytics & Performance Optimization
• Predictive cash flow forecasting using AP data
• AI for vendor behavior analysis and spend trends
• Enhancing supplier relationships through timely insights
• Dashboards and visualizations using Power BI / Tableau
• Measuring KPIs: Days Payable Outstanding (DPO), processing time, error rates
Day 5: AI Tools, Implementation & Change Management
• Evaluation of AI AP tools (e.g., Basware, Yooz, Stampli, Medius)
• Planning AI adoption: Stakeholder buy-in, data requirements, pilot testing
• Change management in finance automation
• Building an AP automation roadmap
• Future trends: Generative AI in Accounts Payable
Optional Add-ons / Practical Labs:
• Live demo: AI invoice processing with a cloud-based tool
• Hands-on session: Setting up a rules-based automation flow
• Group project: Designing an AI-powered AP workflow for a sample company
End of the workshop
IN HOUSE AND ONLINE TRAINING
While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.
For Registration and other Training arrangements,
contact us on the detail below.
SOUTH AFRICA : +27 11 057 6001
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com
