Artificial intelligence is rapidly becoming part of the accounting landscape. But for most businesses, the real opportunity isn’t replacing the accountant – it’s reducing the amount of time spent on repetitive, manual work.

For business owners and finance teams, AI and automation can already be used to improve efficiency, strengthen controls and make compliance processes more consistent.

The key is to use technology where it adds value while keeping appropriate human oversight over important accounting and tax decisions.

Here are seven practical areas where businesses can start.

1. Automate invoice processing

Manually capturing invoices is time-consuming and creates opportunities for errors.

Modern accounting systems can capture information from invoices and automatically populate details such as:

• supplier;
• invoice number;
• date;
• amount;
• VAT; and
• expense category.

This allows finance staff to spend less time on data entry and more time reviewing exceptions and unusual transactions.

This is particularly relevant as SARS moves towards a model based on structured, machine-readable transactional data. Under the proposed Digital VAT Model, e-Invoices are intended to be capable of seamless processing by accounting and ERP systems.

2. Automate bank reconciliations

Bank feeds and automated matching can significantly reduce the amount of manual reconciliation required.

Routine transactions can be matched automatically, leaving the finance team to investigate the exceptions.

The result is a more efficient reconciliation process – and potentially better visibility over errors, duplicated payments and unidentified transactions.

3. Identify unusual transactions

AI and analytical tools can be used to identify transactions that don’t fit normal patterns.

For example, a system might flag:

• an unusually large supplier payment;
• duplicate invoices;
• an unexpected expense;
• an unusual VAT movement; or
• transactions that differ significantly from historical activity.

The purpose isn’t to allow AI to make the accounting decision.

It is to help identify where human attention is most valuable.

4. Automate VAT reconciliations

VAT is another area where automation can provide significant benefits.

Instead of waiting until the end of the VAT period to manually reconcile the VAT201 to the accounting records, businesses can introduce automated checks throughout the period.

These can help identify:

• incorrect VAT codes;
• unexpected movements;
• differences between the VAT reports and general ledger;
• unusual input or output VAT;
• transactions requiring further investigation.

This approach also aligns with the direction of SARS’s proposed VAT modernisation programme, where finance teams are expected to move towards continuous transaction monitoring rather than relying primarily on periodic manual VAT preparation.

5. Automate compliance reminders

Not every useful application of technology needs to involve sophisticated AI.

Automated reminders can help businesses stay on top of recurring obligations such as:

• VAT submissions;
• PAYE;
• provisional tax;
• income tax returns;
• employer reconciliations; and
• requested supporting documentation.

The benefit is simple: fewer deadlines being managed from memory and less risk of an important compliance requirement being overlooked.

6. Use AI to assist with document reviews

AI tools can assist with the first-level review of large volumes of financial information.

Depending on the system, they may help identify:

• duplicate documents;
• missing information;
• unusual amounts;
• inconsistent dates;
• unusual descriptions; or
• transactions that require further investigation.

But this is an important distinction:

AI should assist the review – not replace professional judgement.

Where a matter involves a significant tax, accounting or legal conclusion, an appropriately qualified person should remain responsible for the final decision.

7. Automate management reporting

Automation can also take the effort out of producing routine management information.

Instead of manually compiling spreadsheets every month, businesses can use accounting data to produce regular reports covering areas such as:

• revenue;
• expenses;
• gross margins;
• cash flow;
• debtors;
• creditors; and
• tax liabilities.

This allows business owners to spend more time using the information rather than waiting for someone to prepare it.

Automation doesn’t fix bad data

There is one important warning for businesses considering AI and automation:

Automating a poor process doesn’t necessarily create a good process.

If accounting records are incomplete, VAT codes are incorrectly configured or source data is unreliable, technology can simply process incorrect information more quickly.

This is particularly important when considering SARS’s proposed Digital VAT Model.

The proposed system relies on accurate, structured transactional information flowing between businesses, service providers and SARS. SARS itself recognises that businesses will need to improve their technology, processes and data quality as part of the transition.

The future accountant isn’t being replaced

The role of the accountant is changing.

As technology takes over more routine processing, professional value increasingly shifts towards:

• judgement;
• interpretation;
• tax expertise;
• financial analysis;
• risk management;
• internal controls; and
• advising business owners.

The question shouldn’t be:

“Will AI replace my accountant?”

A better question is:

“How can my accountant use AI to make my business more efficient and compliant?”

For businesses, the opportunity is to start small. Identify repetitive processes, automate where appropriate, introduce sensible controls and keep human oversight where judgement matters.

The businesses that get the most value from AI won’t necessarily be those using the most sophisticated technology.

They will be the ones using technology purposefully.