Master AI. This practical course shows how to apply AI for bookkeeping, fraud detection, forecasting, and responsible governance in accounting and finance.
| Date | Venue | Duration | |
|---|---|---|---|
| 24 - 28 August 2026 | Sandton | 5 Days | |
| 14 - 18 September 2026 | Cape Town | 5 Days | |
| 09 - 13 November 2026 | Cape Town | 5 Days |
AI is reshaping finance and accounting—automating routine work, improving accuracy, and enabling faster, data-driven decisions. This Artificial Intelligence (AI) in Accounting and Finance practical, case-led programme shows how to apply AI across bookkeeping, reporting, audit, tax, forecasting, fraud detection, investment analysis, and risk management.
By the Artificial Intelligence (AI) in Accounting and Finance end, participants will know which tools to use, how to integrate them into existing systems and controls, and how to govern AI responsibly for measurable business impact.
By the end of this Artificial Intelligence (AI) in Accounting and Finance Training, delegates will be able to:
Explain core AI/ML concepts and real finance use cases
Automate bookkeeping, close, and reporting workflows
Detect anomalies and fraud with AI techniques
Build predictive forecasts for revenue, cash flow, and costs
Apply AI to investment screening, portfolio, and risk modelling
Integrate AI with existing finance systems and data pipelines
Govern AI ethically (bias, transparency, privacy) and meet regulatory requirements
Lead change, measure ROI, and scale successful pilots
Finance leaders and managers (CFOs, FDs, Controllers)
Accountants, auditors, and management accountants
FP&A and business analysts
Risk, compliance, and tax professionals
Investment and treasury teams
IT professionals supporting finance functions
AI/ML literacy for finance
Data preparation and interpretation
Automated reporting and reconciliations
Anomaly/fraud analytics
Predictive planning & forecasting
Investment and risk analytics
AI system integration & controls
Ethical, compliant AI governance
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.
Unit 1: Foundations of AI in Finance
What AI/ML is (and isn’t) for finance
Priority use cases and quick wins
Benefits, risks, and success factors
Data quality, lineage, and control considerations
Unit 2: AI for Accounting & Audit
Automated ledgering, reconciliations, and close
Real-time reporting and narrative generation
Tax data preparation and compliance support
Fraud and anomaly detection patterns (rules vs ML)
Short case studies from accounting processes
Unit 3: Analysis, Planning & Investment
Predictive forecasting (AR, ML, ensembles)
Driver-based budgeting and scenario modelling
Credit, market, and operational risk scoring
AI-assisted investment screening and portfolio optimisation
Case studies from FP&A and treasury
Unit 4: Ethics, Compliance & Controls
Fairness, bias, explainability, and accountability
Data privacy and security in financial datasets
Regulatory expectations and auditability
Model monitoring, drift, and performance KPIs
Unit 5: Implementing AI in Your Organisation
Selecting problems, tools, and vendors
Integration patterns (APIs, RPA, ERP/EPM connectors)
Upskilling finance teams; operating models for AI
Change management, benefits tracking, and scaling
Case examples of successful roll-outs
Discover how our courses enhance professionals’ effectiveness in their workplaces.
The facilitator was very passionate and course outline was much relevant for my designation at work and for my personal enhancement.
The Facilitator was good and very professional, he outlined the course very well. A very good Job on his part
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