Fraud risk management is the structured process of identifying how fraud could occur, assessing the likelihood and potential impact, designing controls and monitoring whether those controls work. It also establishes how concerns are reported, investigated and remediated.

No framework can guarantee that fraud will never occur. A mature programme reduces opportunity, improves the chance of early detection and helps the organisation respond consistently when warning signs appear. It should address conduct by employees, management, customers, suppliers, intermediaries and other third parties.

The framework works best when it is connected to governance, enterprise risk management, internal controls, cybersecurity, compliance, HR, internal audit and incident response rather than treated as a one-time checklist.

Earlier identification of warning signs

Defined indicators, reporting channels and monitoring help the organisation recognise unusual behaviour or transactions before the impact grows.

Clear accountability

Documented ownership allows operating teams, control functions and the board to understand their responsibilities instead of assuming that fraud belongs only to internal audit.

Stronger compliance and controls

Risk assessment exposes weaknesses in approvals, access, segregation of duties, third-party management and oversight that may also affect wider regulatory compliance.

Protected financial and operational value

Prevention and early response can limit loss, disruption, investigation cost and the diversion of management attention.

Greater stakeholder confidence

A fair reporting and response system demonstrates that the organisation takes integrity concerns seriously, although reputation depends on conduct and transparency—not policies alone.

Payroll and employee-expense fraud

Ghost employees, unauthorised pay changes, falsified time, duplicate reimbursements, fabricated expenses or collusion in payroll administration.

Asset misappropriation

Theft or misuse of cash, inventory, equipment or other resources, including stock manipulation and unauthorised write-offs.

Procurement and third-party fraud

Bid manipulation, conflicts of interest, kickbacks, fictitious vendors, duplicate invoices, false services or collusion with suppliers and intermediaries.

Financial reporting fraud

Intentional misstatement or concealment affecting revenue, expenses, assets, liabilities, disclosures or management performance information.

Technology and cyber-enabled fraud

Business-email compromise, account takeover, payment diversion, access abuse, identity fraud, manipulation of system data or exploitation of weak digital controls.

Intellectual-property and data theft

Unauthorised access, copying, disclosure or commercial use of confidential information, source code, designs, customer data or trade secrets.

Bribery, corruption and conflicts of interest

Improper benefits, undisclosed relationships, facilitation payments, abuse of authority or decisions influenced by personal interest.

Governance and culture

Establish board and management oversight, a code of conduct, anti-fraud policy, accountable owners, escalation channels and consequences applied consistently. Leadership behaviour is as important as written policy.

Fraud risk assessment

Identify plausible schemes by process, entity and third party. Consider incentives and pressure, opportunity, rationalisation, management override, collusion and technology. Rate inherent risk, control effectiveness and residual exposure.

Prevention controls

Use proportionate due diligence, segregation of duties, approval limits, access control, reconciliations, vendor and employee validation, conflict declarations, training and contractual safeguards.

Detection controls

Combine management review, exception reporting, reconciliations, audit, whistleblowing channels, complaints, data analytics and targeted testing. Detection should not rely on one control.

Continuous monitoring

Track leading indicators, control exceptions, hotline trends, investigations and remediation. Refresh fraud scenarios when systems, products, incentives, markets or third parties change.

Response and remediation

Define triage, investigation authority, evidence preservation, legal and regulatory escalation, loss recovery, disciplinary governance, root-cause analysis and closure reporting.

1. Diagnose vulnerability

Understand the business model, incentives, culture, prior incidents, loss history, reporting channels and management’s current view of fraud risk.

2. Identify schemes and control gaps

Conduct workshops and process walkthroughs, map fraud scenarios and assess whether existing controls address the method, people and technology involved.

3. Prioritise exposure

Rate risks using defined criteria for likelihood, financial and non-financial impact, control effectiveness and velocity. Focus resources on material residual risks.

4. Design and implement improvements

Strengthen ownership, policy, access, approvals, due diligence, reporting channels, training and analytics. Assign actions, deadlines and evidence of completion.

5. Monitor controls and indicators

Use dashboards, exception analysis, periodic testing and forensic analytics to identify unusual patterns and confirm that controls operate as designed.

6. Establish the fraud response plan

Document how allegations are received, triaged, preserved, investigated, escalated and closed. Distinguish suspected, substantiated and unsubstantiated matters and protect procedural fairness.

7. Learn and refresh

Feed investigation findings, near misses, external developments and control failures back into the assessment and improvement plan.

1. Fraud-awareness workshops and training

Role-based sessions help boards, managers and employees recognise indicators, understand reporting duties and practise responses through relevant scenarios.

2. Fraud risk assessment implementation

Facilitated assessments identify schemes, vulnerable processes, control gaps, accountable owners and prioritised mitigation plans.

3. Forensic health check

A focused diagnostic reviews high-risk transactions, processes and controls where a full enterprise assessment is not yet required. It provides limited assurance and is not a substitute for an investigation where credible allegations exist.

4. Organisational perception and culture survey

Confidential surveys and interviews assess awareness, willingness to report, perceived management integrity and confidence in the organisation’s response process.

5. Ethics and whistleblowing framework

Design independent reporting channels, intake and triage protocols, anti-retaliation safeguards, case governance, confidentiality controls and board-level reporting.

6. Fraud vulnerability and analytics tools

Develop diagnostic questionnaires, risk registers, indicators, exception reports and analytics routines. Tools support judgement; they do not prove fraud without investigation and corroboration.

7. Anti-counterfeiting risk assessment

Assess threats to products and brands across manufacturing, packaging, distribution, e-commerce and third parties, then design authentication, monitoring and response controls.

8. Related compliance-risk coordination

Where fraud scenarios overlap with bribery, sanctions, competition, data, financial-crime or sector-specific obligations, coordinate the risk assessment with qualified legal and compliance specialists.

Depending on scope, deliverables may include a fraud-risk universe, process-level risk and control matrix, heat map, anti-fraud policy, governance model, control-improvement roadmap, training materials, reporting-channel procedures, monitoring dashboard, analytics catalogue and fraud response plan.

Our multidisciplinary approach connects finance, operations, technology, compliance, people and third-party risks. We tailor fraud scenarios to the organisation rather than applying a generic list, distinguish preventive from detective controls and convert findings into accountable actions.

Fraud risk management reduces exposure but cannot eliminate fraud or guarantee detection. Credible allegations are handled through an appropriately authorised investigation process rather than assumed to be proven by an analytics alert.