Technology-Driven Finance and Accounting Masterclass

Technology-Driven Finance and Accounting Masterclass

Lead digital transformation, apply AI with control, and protect the integrity of financial data

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Platform:
Online
In-class
Revised and Updated: 08 October 2026
Date Venue Duration
12 - 16 October 2026 Sandton, Gauteng 5 Days

Course Introduction

Modern finance teams are expected to drive profitable growth, raise productivity, and improve operational performance through technology. Cloud finance platforms, automation, analytics, and AI, including agentic AI that can carry out multi-step tasks, are changing how finance is run. They also raise new questions about controls, data integrity, and cyber risk that finance leaders must answer. 

This five-day masterclass equips finance professionals to thrive in that landscape. It gives a practical understanding of current digital tools and good practice for finance and accounting, and covers how to plan and deliver finance transformation, apply AI with proper controls, use data and analytics for decisions, ensure data integrity, build cyber resilience, and develop the skills the finance team needs next. 

Participants work through practical exercises and examples, and leave with a draft finance technology roadmap for their own organisation. 

Course Objectives

By the end of this masterclass, participants will be able to: 

  • Leverage technology to drive finance transformation 
  • Integrate digitisation and digital transformation into finance strategy 
  • Plan and deliver successful digital transformation projects within finance operations, and measure their return 
  • Apply generative and agentic AI to accounting and finance processes, with the right controls and human oversight 
  • Maximise the impact of data and analytics in financial decision-making 
  • Achieve data integrity and build trust in a data-driven world 
  • Strengthen cyber resilience, and understand the finance team’s role in cybersecurity 
  • Identify strategies for upskilling and staying relevant in a technology-enabled finance environment 

Who should attend?

  • CFOs, Finance Managers, and Finance Professionals Seeking to Enhance Their Digital Capabilities 
  • Accountants and Auditors Interested in Modern Finance Technologies 
  • Business Leaders and Strategists Driving Digital Transformation in Finance 
  • IT Professionals Supporting Finance Functions 
Finance 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

Day 1 — Finance Transformation Strategy
Module 1: Leveraging Technology for Finance Transformation
  • Accelerating productivity and finance function efficiency through digital solutions
  • Treating technology investment as a source of competitive advantage, and building the case for it
  • Selecting and implementing digital tools for finance transformation
  • Building digital ecosystems that support scalability
  • Building cybersecurity into transformation from the start
Module 2: Digitisation and Digital Transformation in Finance Strategy
  • Driving strategic change by combining financial expertise with technology leadership
  • Overcoming challenges in digital adoption: what CFOs and finance leaders must consider
  • Leveraging data and analytics for finance operations and enterprise-wide decisions
  • Building partnerships between finance and technology functions
  • Practical Exercise: Assess your finance function's digital maturity and set three priorities

Day 2 — Delivering Digital Transformation in Finance
Module 3: Delivering Digital Transformation in Finance
  • Streamlining the order-to-cash cycle for better cash flow and efficiency
  • Managing the move from legacy finance systems to modern digital platforms: data migration, testing, and cut-over risks
  • Prioritising technology investments aligned with growth and financial objectives
  • Real-world examples of technology-driven modernisation in finance
  • Measuring the return on digital transformation in finance
  • Practical Exercise: Build a prioritised list of finance technology investments, with a simple return case for the top one

Day 3 — AI in Finance and Accounting
Module 4: Generative and Agentic AI in Finance Operations
  • What generative AI and agentic AI are, and what they can do in finance: reconciliations, accounts payable and receivable, reporting, forecasting, and queries
  • The impact on efficiency, cost, and strategy, and aligning AI with the broader AI strategy and business priorities
  • Creating cohesive AI ecosystems within finance using intelligent data platforms
  • Identifying and prioritising practical use cases for AI in finance and accounting
  • Practical Exercise: Identify and rank five AI use cases in your finance function by value and risk
Module 5: Controlling AI in Finance
  • Where AI can go wrong in finance: errors presented confidently, bias, and use of unreliable data
  • Internal control for AI: human approval limits, segregation of duties, audit trail, and testing and monitoring of AI outputs
  • Fraud risks from AI, including deepfake impersonation of executives and AI-assisted payment fraud
  • Implementing ethical and transparent AI, and POPIA considerations for financial and personal data
  • Practical Exercise: Design the controls for an AI agent that prepares supplier payments for approval

Day 4 — Data, Analytics and Data Integrity
Module 6: Data and Analytics in Finance
  • Creating digital platforms for real-time financial data access and decision support
  • Using analytics tools for predictive insight, risk mitigation, and forecasting
  • Transforming reporting and auditing processes with digital solutions
  • Practical Exercise: Design a finance dashboard for decision-makers, and the data it needs
Module 7: Achieving Data Integrity and Trust
  • Building robust data management systems for accuracy, security, and compliance
  • Promoting transparency and accountability through ethical data practices
  • Using data verification and anomaly detection for continuous monitoring and better decisions
  • Practical Exercise: Review a sample dataset for integrity problems, and set up simple anomaly checks

Day 5 — Cyber Resilience, Skills and Your Roadmap
Module 8: Securing the Future: Cyber Resilience in Finance
  • Current and emerging cyber threats to financial operations, including ransomware, business email compromise, and AI-enabled attacks
  • Lessons from recent high-profile breaches, and the importance of a cyber-aware culture
  • Compliance and regulatory frameworks for finance cybersecurity, including POPIA and the Cybercrimes Act
  • The finance team's role in incident response and business continuity planning
  • Governance: the role of boards and CFOs in managing cyber risk
  • Practical Exercise: Respond to a simulated payment-fraud incident: who does what in the first hour
Module 9: Upskilling for the Tech-Enabled Finance Environment
  • Assessing digital literacy and skills gaps within finance teams
  • Strategies for attracting and retaining digitally proficient finance talent
  • The evolving roles of finance professionals in the era of AI and automation
  • Fostering collaboration between IT and finance for ongoing innovation
  • Practical Exercise: Draft a skills plan for your finance team
Module 10: Capstone: Your Finance Technology Roadmap
  • Bringing together strategy, priorities, AI use cases and controls, data and cyber safeguards, and skills
  • Presenting your roadmap for feedback
  • Practical Exercise: Present your 12-month finance technology roadmap

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FAQs – Technology-Driven Finance and Accounting Masterclass

Master technology-driven finance and accounting practices, learning digital finance tools, automation, data analytics, AI applications, financial reporting, process optimisation, risk management, and strategies for improving accuracy, efficiency, and decision-making.

What topics are covered in the Technology-Driven Finance and Accounting Masterclass?
The masterclass covers financial automation, AI in accounting and auditing, data analytics for financial forecasting, robotic process automation (RPA) in finance, blockchain applications, cloud accounting systems, and digital risk management.
Who should attend the Technology-Driven Finance and Accounting Masterclass?
This course is designed for Chief Financial Officers (CFOs), finance managers, senior accountants, financial analysts, internal auditors, tax specialists, and fintech leaders seeking to modernize their financial operations and strategies.
What skills will delegates develop through the Technology-Driven Finance and Accounting Masterclass?
Delegates develop practical skills in leveraging AI tools for financial modeling, automating routine accounting tasks, conducting advanced variance analysis through data visualization, managing fintech risks, and executing digital transformation in finance departments.
How long does the Technology-Driven Finance and Accounting Masterclass take to complete?
The masterclass is delivered as a focused short-course executive programme, with the duration determined by the scheduled masterclass timetable and specific organizational training requirements.
Is coding or advanced IT knowledge required to participate in this masterclass?
No programming or advanced IT background is required. The curriculum focuses on business application, strategic implementation, and managing financial technologies rather than software development or coding.
Can Prospen Africa deliver the Technology-Driven Finance and Accounting Masterclass in-house?
Yes. Prospen Africa can deliver this training on-site or in-house, tailoring practical exercises, software demonstrations, and case studies around your organization's specific ERP system, financial workflows, and reporting tools.

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