Short Course in Fundamentals of AI in Tax Practice

Overview

Artificial intelligence is entering tax practice at the same time as tax administration itself becomes more digital, data-intensive and connected. SARS Modernisation 3.0 contemplates entity-based compliance, real-time risk profiling and advanced analytics. The Tax Administration Laws Amendment Act 4 of 2026 has inserted a legal framework for structured e-invoicing and voluntary e-reporting. The practitioner must therefore understand not only how an AI system produces an answer, but how tax data is generated, transmitted, reconciled and scrutinised across practice software and revenue-authority systems.

This short course treats digital competence as part of professional tax competence. It does not present AI as a substitute for tax knowledge. It develops the framework needed to decide when AI may assist, which capability suits the task, what can go wrong, and what level of human review is required. South African evidence makes the point directly: in a 2026 study, four of five AI models tested failed CTA-level tax questions while still producing persuasive answers.

The course is built around a recurring South African practice case, Mzansi Tax Advisory, and closes with an applied risk-classification exercise. Practitioners complete it able to classify tax-AI use cases as low, medium, high or prohibited risk, and to design the human oversight each one requires.

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Mode of Delivery

This short course is presented on The Tax Faculty's online learning Campus. It is self-paced: interactive study notes, a diagnostic pre-quiz, end-of-notes self-checks and a facilitated discussion forum allow the course to be completed from anywhere, at any time.

Duration and Effort

This short course is available to learners to complete at their own time and pace.

• Approx reading hours: 10 hours
• Approx applied work (discussion forum, applied activity and case study): 15 hours
• Recommended length to complete: 2 weeks

What you will Learn in this Course

The following modules will be covered

1. The digital transformation of tax practice.
2. AI technologies: machine learning, natural language processing and large language models.
3. Capabilities, errors and evidence standards: why AI produces plausible but incorrect outputs.
4. The AI-enabled revenue authority: Tax Administration 3.0, SARS Modernisation 3.0 and e-invoicing.
5. The AI-enabled tax practice: software, the changing professional role, ethics, POPIA and governance.
6. Tax-AI risk classification and applied practice.

Outcomes

• Distinguish artificial intelligence, machine learning, natural language processing, generative AI, analytics and rules-based automation, and select the right capability for a tax task.

• Explain why AI systems produce fluent but incorrect tax output, and apply a verification protocol against primary sources.
• Explain SARS Modernisation 3.0, entity-based compliance and the 2026 framework for structured e-invoicing and voluntary e-reporting, and their implications for VAT, payroll, trusts and exempt institutions.
• Evaluate vendor claims about accuracy, productivity, compliance and security in tax and accounting software.
• Apply professional ethics, POPIA and confidentiality requirements to AI-supported tax work.
• Classify tax-AI use cases as low, medium, high or prohibited risk, and design the human-AI division of labour and approval points each requires.

Admission Requirements

This is a short learning programme (SLP). Learners require digital and numeracy literacy and a laptop or PC with high-speed internet access. A working knowledge of South African tax compliance is recommended; no technical or programming background is required.

This Course is for

• Tax practitioners and tax accountants who already use, or are being asked to use, AI tools in client work.
• Practice owners deciding which AI and automation tools to adopt, and under what controls.
• Reviewers and managers who sign off work they did not draft.
• Finance and in-house tax professionals preparing for SARS modernisation and VAT e-invoicing.

Accreditation

This course is presented as a short learning programme (SLP) by The Tax Faculty. The Tax Faculty is accredited with the Quality Council for Trades and Occupations as a skills development provider (SDP) under the Skills Development Act, 1998 (Act No 97 of 1998) and by the South African Institute of Chartered Accountants (SAICA) as an ATSA training provider.

Assessment and Award of Certificate

A diagnostic pre-quiz, checkpoint questions and an end-of-notes self-check are included in the course, together with a facilitated discussion forum on the Mzansi Tax Advisory case. Learners are assessed through a final integrated assessment: a risk-classification matrix of twenty practice tasks, a critical justification of approximately 1 500 words, and a recommendation to the practice principal. Successful learners receive a Short Learning Programme (SLP) certificate of competence issued by The Tax Faculty. In addition, this programme qualifies for 15 verifiable CPD hours in the category: AI Technologies.

Course Fee

Once-off Payment

Once-off immediate payment to gain access to the course in total of: R1 950. The course is free for Practice Package subscribers.

*No flexibible payment plans available on this course. Course fees exclude any recommended or referenced textbook.

Payments and Cancellations

Standard text for all self-paced short courses, carried over unchanged from the live VAT page.

• All required minimum payments must be made by direct EFT or by credit card before the commencement of a course. The once-off payment is required to be paid in order to gain access to start the course.
• Kindly note that should payment terms not be adhered to; legal action will be taken and access to the online learning platform suspended.
• Proof of payment will be requested before access to the online platform will be communicated, should your payment not reflect on The Tax Faculty's bank account.
• Only written notice of cancellation will be accepted.
• To view our full terms & conditions click here.

Conditions

For all Self-paced Short Courses the Following will Apply

• All payments by means of an electronic transaction shall be subject to section 44 (cooling-off period) of the Electronic Communications and Transactions Act No 25 of 2002, as amended. As such, clients shall be entitled to cancel this agreement without reason or penalty within 7 (seven) days after the date of the Self-Paced Short Course booking.
• If the cooling-off period under clause 8.1 does not apply, and a person is a consumer protected by the Consumer Protection Act No 68 of 2008 and the person makes a booking as a result of direct marketing, then that person shall be entitled (under section 16 (consumer's right to cooling-off period after direct marketing) of the Consumer Protection Act) to cancel this agreement within 5 (five) business days after the date of the booking by writing and submitting a detailed explanation, with full contact details to info@taxfaculty.ac.za.
• Students who register for a course and fail to participate in the course within 12 months will be held liable for the full course fee.
• Students who have failed to successfully complete the course, and wishing to repeat will be charged the full course fee to repeat.
• The Tax Faculty's liability in the case of a course being cancelled will be limited to a refund of the course fee.

Associated Courses

This short course provides the conceptual and professional foundation for Professional Certificate in AI for Tax Accountants, and complements the Short Course in Value-Added Tax for practitioners preparing for VAT modernisation and e-invoicing.