Data detective: How technology is changing forensic accounting

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Jackson T. Mashinge

A SUSPICIOUS payment can look like an ordinary line in a spreadsheet. A missing invoice may be the first sign that something is wrong. And a fraudster may hope that, among thousands of routine transactions, nobody will notice the one that mat­ters. Increasingly, however, foren­sic accountants are using data tools to find those signals, not by reading every page one at a time, but by asking technology to help reveal where the story does not add up.

Forensic accounting has always depended on careful judgment. Its practitioners follow money, test ex­planations and turn complex finan­cial records into evidence that can be understood by business leaders, lawyers, regulators and, when nec­essary, a court.

What has changed is the scale and speed of the work. Business­es now create vast digital trails through invoices, bank transfers, payroll systems, expense claims, emails and accounting platforms. Data tools can sift through that material far faster than a person working with paper files or separate spreadsheets.

That speed matters, but it is not the whole story. Analytical soft­ware can compare transactions, search for repeated patterns and draw attention to entries that differ from the norm. It might flag a pay­ment just below an approval limit, multiple invoices with similar de­tails, a sudden rise in expenses or a transfer made at an unusual time. Individually, any one of these may have a reasonable explanation. To­gether, they may suggest a pattern worth investigating.

Visual tools can make those pat­terns easier to grasp. Dashboards, charts and timelines help investiga­tors see when unusual activity be­gan, which accounts were involved and whether events coincide with a change in staff, policy or manage­ment. Instead of relying on a long list of figures, an investigator can build a clearer picture of how mon­ey moved — and where the trail may have broken.

Technology has also expand­ed the possibilities for detecting problems earlier. Some systems can monitor transactions as they are recorded and send alerts when activity falls outside expected lim­its. A business might be notified about duplicate payments, a sud­den change in supplier bank de­tails or an invoice that has not been matched to a purchase order. “Gap analysis” can identify not only what happened, but what should have happened and did not. A reconcilia­tion missing at the usual point in the month, for example, may deserve attention before it becomes part of a larger problem.

Artificial intelligence and ma­chine learning can strengthen this kind of review by learning from patterns in historical data and iden­tifying transactions that appear un­usual. Their value is not that they can pronounce someone guilty. They cannot. An alert may point to fraud, but it may just as easi­ly reflect a data-entry mistake, a new supplier, a one-off emergency purchase or a legitimate change in business activity. A machine can identify an anomaly; a trained in­vestigator must establish what it means.

That distinction is essential. If an organisation treats every automated warning as proof of wrongdoing, it risks unfairly accusing employees and wasting time on false alarms. If it ignores alerts because the sys­tem is not perfect, it may miss early signs of genuine misconduct. The strongest approach combines tech­nology with human experience: tools help narrow the search, while forensic accountants test the evi­dence, speak to relevant people and consider alternative explanations.

Digital records have made collaboration easier, too. Investi­gations often involve more than accountants. Lawyers, business owners, auditors and law-enforce­ment personnel may all need to review information, sometimes across different locations. Secure, cloud-based platforms can give authorised users access to shared documents and working papers, re­ducing delays and the need to move boxes of records from one office to another. Searchable files also allow investigators to look for a particular date, amount, supplier or phrase in seconds.

But convenience brings respon­sibilities. Financial information is sensitive, and an investigation may contain personal data, confidential communications or material that could later be used as evidence. Access must be controlled, records protected and changes tracked. In­vestigators need to know where information came from, whether it has been altered and who has han­dled it. A fast analysis is of little value if the underlying evidence cannot be trusted.

Good data tools also depend on good data. A company may have years of inconsistent records, dupli­cate customer names, incomplete descriptions or several systems that do not communicate with one an­other. In such cases, software can produce misleading results with impressive speed. Before drawing conclusions, forensic accountants may need to clean and organise the information, check how it was col­lected and understand what is miss­ing. The quality of the conclusion is only as strong as the evidence behind it.

For businesses, the benefits ex­tend beyond investigating suspect­ed fraud after the fact. A forensic accountant can help establish sen­sible checks, identify weak points in financial processes and design alerts suited to the organisation’s risks.

Clear approval rules, regular rec­onciliations and well-maintained digital records can make miscon­duct harder to conceal and mistakes easier to correct. When employees know that transactions are reviewed consistently, that may also encour­age stronger accountability though monitoring should be transparent and proportionate.

Technology has not made foren­sic accounting effortless, nor has it replaced the need for scepticism and professional judgment. It has changed the investigator’s starting point. Instead of searching blindly through mountains of paperwork, accountants can use data to locate the transactions and relationships that deserve closer scrutiny. The result can be a quicker, more fo­cused investigation and, at its best, an earlier warning that prevents a small discrepancy from becoming a major loss.

The most effective forensic ac­countant, then, is not simply the person with the newest software. It is the professional who knows how to ask the right questions of the data, recognise the limits of an automated flag and explain the find­ings in plain language. Technology can point to the hidden thread. It still takes human skill to follow it, test where it leads and determine whether the numbers tell a story of fraud, error or something entirely ordinary.

l Mashinge has 15 years of experi­ence in accounting, auditing, and finance. His expertise is in auditing, risk advisory, strategy formulation, project assurance, monitoring and evaluation.