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The main challenges:
- Conflict of interest - Audit firms are profit-driven entities, and face pressure to act in their clients’ favour.
- Race against time – Pressure to not look too thoroughly at figures in order to get the job done on time.
- Great expectations – Investors expect auditors to detect fraud, because they have the access and the ability to. But there is an expectation gap in what auditors do and what the investing public think they do.
- Establish an independent escrow authority handle the negotiations and payments and define the auditing scope. Audit reports should then be sent to this central regulatory authority.
- Stricter enforcement and actual penalties for auditors that have plainly been negligent, or criminal, in their tasks.
- Whistleblowing policy to encourage reporting without the fear of repercussions.
Not finding fraud On the face of it, an auditor’s job is to ensure that a company’s financial statements represent a true and fair view of the company’s financial performance and position, free from any material bias or error. If the audit uncovers financial fraud, the auditor is expected to report it. This also means the auditor does not expect to purposefully sniff out financial fraud. “What the auditor is expected to do, and is already doing, is to minimise the risk of material misstatements arising from fraud and error,” says El’fred Boo, associate professor of accounting at Nanyang Business School (NBS). “The auditor is required by the professional standard to assess risks, including fraud risks. If there is fraud, and to the extent that it results in a material misstatement, the auditor is expected to be able to detect the material misstatement when appropriate audit procedures are performed.”
Detecting fraud in a company
As obvious as it may seem, the first step in detecting fraud in a company is to compare the numbers, says Carl Jenkins, global leader, governance, risk, investigations and disputes at corporate investigations and risk consulting firm Kroll. He recommends taking a good look at trends, comparing the performance of a company with its peers in the industry and examining the financials of each subsidiary of a company, right down to the individual office.
“You look for trends and you also look at the industry [the company] is in,” says Jenkins. An underperformance or outperformance may be an anomaly or attributed to a bad deal, but it is something to look at. “The next thing we might look at is whether there are any large compensation changes or arrangements in the company,” he adds.
While higher sales should drive higher compensations, one might find that costs of sales are going up because somebody is giving big discounts to increase sales numbers, Jenkins notes. This issue of assumptions also extends to new acquisitions in markets the company has not been in before, with headquarters and subsidiaries being on a different page when recognising revenue or profit. In such cases, looking closely at all the books instead of only a “sample” makes a difference.
Jenkins recalls his experience when he was an auditor looking at the books of an insurance company in the US. “I see stationery and supplies for an office somewhere in the Midwest, and it was US$200,000 when it used to be US$10,000,” he says. It might not have been obvious at the company level. “But I pointed it out. [And it turned out that] there was somebody embezzling funds using that account.”
Vendors should also be scrutinised, he adds, for conflict of interest, or fake invoices and round-tripping. Auditors tend to only check that purchase and delivery orders match invoices. “I was working with a Dutch company and they had set up these fake vendors. If you looked in the phone book or called them, they didn’t exist,” says Jenkins.
With growing complexity in business models, technology is also coming into play. “With the help of computers and artificial intelligence [AI], auditors are able to audit the whole population of transactions. This will increase the chances of detecting material misstatements that may be due to fraud,” says Wang Jiwei, associate professor of accounting (practice) at the Singapore Management University.
Start-ups and large corporations are now looking to produce AI solutions to detect fraud internally. Payment systems company ACI Worldwide, for instance, is building a data model for indicators of fraud.
“The indicators that stand out tend to be breaches of policy. [The person who commits fraud] — whether they are disgruntled or believe they are owed something or [need] access to funds — tests the waters. They test to find out if what they know about vulnerabilities is true; they test the boundaries. They try things that are minor, to build up knowledge and confidence,” says Giselle Lindley, principal fraud consultant at ACI Worldwide.
AI start-up Datavisor has sold applications to combat internal fraud. “Our systems are being used to target internal fraud similar to what happened at Wells Fargo & Co when they were aggressively expanding customers,” says Xie Yinglian, CEO and co-founder. “Sales agents’ performance [was based on the number of] new applications. Some agents brought in customers not qualified for the accounts, but packaged them to help them qualify, [a form of] internal fraud.”
She adds: “It is very hard to manually sift through things to look for fraud. You need an advanced algorithm to look across the data, and correlation to identify that.”
Ultimately, the best teacher is experience. “Very rarely is there fraud or an issue that we haven’t seen before. The numbers and the people might be different, but the [bare facts are the same],” says Jenkins. “Unfortunately, learning from past mistakes is hard, as companies often do not want to go public when fraud has been discovered internally.”


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