Methodology and theoretical foundations of professional anti-fraud investigation

Corporate fraud detection is not a simple audit activity, nor is it exclusively a follow-up investigation. Rather, it is a complex, multidisciplinary corporate governance and risk management methodology, which aims to reveal the discrepancies between economic reality, documented operation and decision-making processes.

A professional anti-fraud investigation does not start from the point of view of “whether fraud has occurred”, but from  whether there are risk patterns, control gaps, financial anomalies or documentation discrepancies in the company’s operation that may indicate the possibility of fraud.

This approach is fundamentally different from traditional administrative control. While a standard accounting or legal examination often looks at whether the documents are formally available, the fraud examination asks:  is there a genuine, economically justifiable and verifiable business event behind the documents?

In other words, the purpose of the methodology is not only to examine regularity, but  also to evaluate reliability, economic rationality and controllability.

1. Fraud risk as a corporate governance issue

Corporate fraud should not be treated exclusively as a criminal category. The risk of fraud is a broader phenomenon: it appears at those points in the organization where financial interest, information asymmetry, lack of control and human freedom of decision meet.

For example, a company may have a risk of abuse in procurement, financial approvals, inventory management, sales discounts, supplier relations, payroll, or related party transactions. There are often significant financial flows in these areas, while decision-making and control are not always properly separated.

Fraud detection is therefore not only aimed at reconstructing a specific abuse after the fact. At least as important is its goal to reveal the structural weaknesses that may make abuse possible. This makes anti-fraud investigations a true corporate governance tool.

2. Risk-based pre-screening and fraud risk assessment

The first level of professional examination is usually risk-based pre-screening. The purpose of this is not to provide immediate proof, but to determine which processes, people, transactions or business relationships require further investigation.

During the fraud risk assessment, the investigator does not look at isolated documents, but tries to understand the entire operating environment. The main questions are typically as follows:

Where does most of the money move? Where is the least control? Who is authorized to approve payments? Is there a person who can initiate, approve, and verify transactions at the same time? Which suppliers have unusual payment patterns associated with? In which areas do exceptions, ex-post approvals or incomplete documentation occur regularly?

The essence of the methodology is that the operation of the company must be broken down into risk zones. Such risk zones may include:

• procurement;
• inventory management;
• invoicing;
• financial approvals;
• bank payments;
• cash management;
• payroll;
• related party transactions;
• contractual performance;
• access rights;
• managing supplier master data.

After that, each area should be assessed according to risk weight. A high-value, poorly controlled, person-dependency-laden process may receive a higher risk rating than an automated, multi-level approval process.

The value of the fraud risk assessment lies precisely in the fact that the investigation proceeds not randomly, but according to a risk logic.

3. The theoretical significance of the fraud triangle

One of the most well-known models of fraud investigation thinking is the fraud triangle. It examines the co-existence of three factors:

Pressure: Are there any financial, performance, career, or personal pressures that can create a motivation to cheat?

Opportunity: does the organization provide a lack of control that allows abuse?

Rationalization: is the perpetrator able to justify the act to himself?

This model is particularly important because it interprets fraud not only as a legal event, but as an organizational and behavioral phenomenon. Abuse is rarely a matter of “bad intentions”. Often, the organizational environment creates the situation in which pressure, opportunity and self-justification appear at the same time.

For example, if a sales manager is burdened with unrealistically high revenue goals while they can approve significant discounts themselves and there is no independent follow-up verification, then all three elements of the fraud triangle may appear.

The practical significance of the fraud triangle lies in the fact that it not only helps to interpret the frauds that have already occurred, but also to prevent them. If a company realizes that the conditions for pressure, opportunity and rationalization exist in certain processes at the same time, it can intervene before the damage occurs.

4. Document analysis and economic reality analysis

Document analysis is one of the central methods of fraud examination, but it is not the same as formal document verification. The aim is not merely to establish whether there are invoices, contracts or certificates of performance, but to examine whether these documents are consistent with each other and with economic reality.

For example, when examining a purchase transaction, it is not sufficient to verify the existence of an invoice. The entire business chain of events must be reconstructed:

• who initiated the procurement;
• whether there was a real business need;
• whether a request for quotation or a competitive bidding process has been carried out;
• who approved the order;
• whether there was a contract;
• whether actual performance has been performed;
• whether a certificate of completion has been drawn up;
• whether the invoice complies with the contract;
• whether the payment corresponds to the invoice;
• whether the price is market-justifiable;
• whether there is a relationship between the supplier and the person approving it.

Inconsistencies are particularly important in document analysis. Warning signs can be, for example, a document dated after the fact, a missing proof of completion, an unusually fast payment, repeated invoice text, non-contractual performance, disproportionate pricing, or multiple supplier payments to the same bank account.

The essence of the methodology is that the documentation is not evaluated in itself, but in an economic and control environment.

5. Transactional data analysis and anomaly search

One of the most important methodological layers of modern anti-fraud investigations is transaction data analysis. In doing so, the investigator looks for unusual patterns in large amounts of financial or operational data.

The purpose of such an analysis is not to immediately determine the legal classification of each item, but to select the data sets that require further investigation.

Typical analysis criteria:

Duplicate payments: based on the same amount, same supplier, same account number, similar account description, or duplicate bank details.

Round amount transactions: An unusually large number of round amounts may indicate an artificially created billing pattern.

Structured payments below the threshold: if an internal policy requires a higher approval above a certain threshold, consecutive invoices below the threshold may indicate an attempt to circumvent control.

Transactions recorded at unusual times: Items recorded during closing periods, weekends, or out of business hours may require a separate review.

Supplier concentration: when a given decision-maker has a remarkably large number of payments to the same supplier.

Fast payment to new suppliers: For newly established suppliers or suppliers with a short history, quick and large payments may indicate an increased risk.

These indicators do not prove fraud in themselves, but they are suitable for determining the focus of the investigation in a professionally sound way.

6. Benford analysis: interpreting statistical differences

Benford’s law describes the expected distribution of digits in certain natural data series. In financial investigations, it can be used to identify data sets that differ significantly from the natural pattern.

For example, in a large volume of accounts or payment lists, the first digit occurrence rate may follow a certain distribution. If the data series differs substantively, it does not automatically prove fraud, but it may raise the possibility of artificial data generation, billing manipulation or an unnatural transaction structure.

Benford analysis is particularly useful when:

• a large number of transactions are available;
• the data comes from a natural economic process;
• no fixed price list or predetermined rates;
• The goal is to pre-filter anomalies.

However, it is important to emphasize that the Benford test is not independent evidence. Not all data series are suitable for such analysis. Fixed fees, regulated prices, artificial value limits or pre-determined price structures can distort the result.

Therefore, Benford analysis must always be interpreted in conjunction with other methods.

7. Beneish M-Score: Reporting Manipulation Risk

The Beneish M-Score is a financial model used to estimate the risk of manipulation of financial statements. It examines whether the company’s data resembles patterns that have been linked to manipulation of results based on previous research.

The model examines factors such as:

• increase in revenue;
• receivables ratio;
• changes in gross margin;
• asset quality;
• depreciation patterns;
• accruals;
• the relationship between operating costs and revenues.

The logic of the method is that manipulated reports are often not randomly biased. For example, if sales revenue is growing rapidly but cash inflows are not following suit, or if the receivables ratio is unusually high, this may indicate that revenue accounting is aggressive or economically difficult to justify.

The Beneish M-Score does not say that there has been fraud. Indicates whether the financial data may indicate a higher risk of manipulation. This can be particularly useful in partner due diligence, before acquisitions, when making a loan decision, or in situations where the reliability of financial statements is a critical business issue.

8. Altman Z-Score: Financial Distress as Fraud Pressure

The Altman Z-Score was originally  a model for predicting financial distress and bankruptcy risk. It is relevant in the context of anti-fraud because financial pressure often increases the risk of financial manipulation, asset concealment, aggressive revenue reporting or other abuse.

The management of a company in financial difficulties may come under more pressure to present a more favorable image of the company’s health. This can be especially important before bank financing, investor negotiations, supplier credit lines or company sales.

The Altman Z-Score is therefore not fraud evidence, but provides risk context. It helps to understand whether there is a financial pressure that can strengthen the first element of the fraud triangle, i.e. motivation.

9. COSO-based internal control gap analysis

The examination of the internal control system is one of the most important pillars of the anti-fraud methodology. The COSO model is an internationally known framework that is based on the logic of the control environment, risk assessment, control activities, information communication and monitoring.

COSO-based gap analysis examines where a company’s current control system deviates from the expected, safe operation.

The main areas of the investigation are:

Control environment: is the management really committed to ethical and controlled operation?

Risk assessment: does the company identify risks of abuse?

Control activities: are there points of approval, reconciliation, isolation and verification?

Information and communication: are risk signals reaching the right decision-makers?

Monitoring: are the controls regularly checked to ensure that they are actually working?

Gap analysis can reveal, for example, if there is no adequate four-grain principle, if a person has too many privileges, if supplier master data can be changed without control, if there is no regular bank reconciliation, or if the company does not monitor unusual transactions.

The advantage of the COSO-based approach is that it does not treat problems as isolated errors, but assesses them as part of the corporate governance system.

10. OSINT-based background check

OSINT, i.e. open-source information collection, can play an important role in the examination of partner, supplier and owner risks. The purpose of this is to uncover, based on publicly available sources, relational, reputational or historical information that may be relevant to decision-making.

An OSINT scan may include:

• business register data;
• ownership and management relationships;
• related companies;
• previous liquidations or foreclosures;
• negative media appearances;
• reputational risks;
• public procurement, litigation or regulatory information;
• networks visible on professional and social platforms.

The purpose of OSINT is not to collect informal rumors, but to organize verifiable, business-relevant risk information.

For example, a partner may appear financially settled, but if its managers were previously interested in several short-lived companies that ended in liquidation, this can be a risk factor. Similarly, a complicated, difficult-to-understand group structure or frequent changes of ownership can be warning signs.

11. Interviews and internal information gathering

In the case of complex anti-fraud investigations, in addition to documents and data, human sources of information may also be needed. The purpose of internal interviews is not necessarily to immediately find someone responsible, but to understand how the processes actually work.

For example, a policy might require three levels of approval, but in practice, approvals might happen automatically without meaningful validation. In such cases, formal control exists, but its actual control effect is weak.

Interviews can help you explore:

• how the process works in practice;
• where there are informal detours;
• who have actual decision-making influence;
• which controls are regularly circumvented;
• what problems employees perceive;
• whether there are recurrent suspicious patterns;
• whether the internal reporting culture works.

Interviews are methodologically sensitive because they must be conducted in an objective, documented and legally manageable manner. The goal is not to exert pressure, but to understand the facts, processes and discrepancies accurately.

12. Red flag system and risk matrix

At the end of a professional anti-fraud investigation, the findings must be interpreted in a structured form. A long list of problems is not enough for decision-makers. They need to be given priorities, weights, and decision logic.

This is what the red flag system and the risk matrix are for.

Red flags are warning signs that do not in themselves prove fraud, but may warrant further investigation or intervention. These can be:

• incomplete documentation;
• unusual pricing;
• a sign of a connected party;
• excessive concentration of suppliers;
• recurring rounded invoices;
• circumvention of approval rules;
• stock mismatch;
• unusual movement of money;
• high payment associated with a new supplier;
• unreasonably fast payment;
• Recurring follow-up approval.

The risk matrix gives these signals weight. In general, it evaluates along two main dimensions:

Probability: how likely is it that the given sign indicates an actual problem?

Impact: what are the financial, legal, operational or reputational consequences?

This approach allows the company to not only see problems, but also prioritize them. A high-impact and high-probability risk may require immediate management intervention, while a lower-weight deviation may be sufficient to bring it under regular monitoring.

13. Investigation report and remediation plan

The final product of the methodology is not a simple list of findings, but a professionally structured investigation report. A strong anti-fraud report clearly separates facts, assumptions, risk conclusions and proposed actions.

The report typically includes:

• the purpose of the study;
• the scope of the investigation;
• the methods used;
• the documents and data sets examined;
• the uncovered red flags;
• financial or operational anomalies;
• control gaps;
• the risk classification;
• uncertainties and methodological limitations;
• proposed corrective actions.

The remediation plan is at least as important as the investigative finding itself. The goal is not just to describe the problem, but to make it manageable.

Such measures may include:

• re-regulation of approval levels;
• the introduction of the four-eyes principle;
• control of the modification of supplier master data;
• regular bank and account reconciliation;
• inventory control protocols;
• review of access rights;
• creation of a whistleblowing channel;
• implementation of an internal investigation protocol;
• regular fraud risk assessment;
• development of management reporting;
• Incorporate anomaly monitoring control points.

A good remediation plan not only tells you what needs to be improved, but also in what order, with what responsibilities and with what control effect.

The business significance of the methodology

The methodological power of anti-fraud investigation lies in the fact that it is not based on a single document, not a single financial indicator, and not a single impression. The study connects different layers of information: financial data, documents, internal controls, corporate processes, external information, transaction patterns, interviews and business logic.

Therefore, the professional anti-fraud methodology is not only an investigative tool, but a strategic corporate governance solution.

It helps you to sign contracts more securely, make more reliable decisions, build stronger controls, reduce the risk of financial losses, and recognize in time if a business partner, process or transaction does not show what it suggests at first glance.

The ultimate goal is not to create a culture of suspicion, but to make conscious, documented and risk-based decisions. A well-structured anti-fraud investigation ensures that the company not only sees the numbers, but also understands the business reality behind them.