fraud-risk-assessment

name

fraud-risk-assessment

description

Fraud risk assessment engine following the COSO Fraud Risk Management Guide. Builds fraud risk universes, maps anti-fraud controls, identifies red flags, designs data analytics detection programs, and evaluates anti-fraud program maturity. USE THIS SKILL when the user mentions fraud risk, anti-fraud controls, fraud detection, red flags, whistleblower program, fraud investigation, Benford's law, fraud triangle, fraud schemes, asset misappropriation, financial statement fraud, corruption, cyber fraud, or anti-fraud program assessment. Covers the full anti-fraud lifecycle from prevention through investigation readiness.

Fraud Risk Assessment

Required Inputs

• Organization: Company name, industry, size (revenue, employees), and organizational structure.
• Business Processes: Key revenue, procurement, payroll, treasury, and financial reporting processes.
• Control Environment: Existing internal controls, segregation of duties, approval authorities.
• Prior Fraud History: Known fraud incidents, investigation outcomes, losses incurred.
• Regulatory Context: Industry-specific anti-fraud requirements (SOX, FCPA, UK Bribery Act, etc.).
• Whistleblower Program: Current hotline/reporting mechanism details.
• Data Availability: Access to transactional data for analytics (ERP, accounting, procurement, HR systems).

Execution Steps

1. Fraud Risk Universe

Define the complete taxonomy of fraud schemes relevant to the organization.

Fraud Scheme Taxonomy (ACFE Classification)

Category	Scheme	Description	Typical Perpetrator	Avg. Loss Range
Asset Misappropriation
	Cash Theft — Skimming	Removing cash before recording	Cashiers, front-line employees	$10K-$100K
	Cash Theft — Larceny	Removing cash after recording	Accounts receivable, cash handlers	$25K-$250K
	Billing Schemes	Fictitious vendor, personal purchases, inflated invoices	Procurement, AP staff	$50K-$500K
	Payroll Fraud	Ghost employees, falsified hours, commission manipulation	HR, payroll, managers	$25K-$250K
	Expense Reimbursement	Fictitious expenses, inflated amounts, duplicate claims	All employees, executives	$10K-$100K
	Check/Payment Tampering	Forged checks, altered payee, unauthorized disbursements	AP staff, signers, treasury	$50K-$500K
	Inventory/Asset Theft	Theft or misuse of inventory, equipment, supplies	Warehouse, operations staff	$25K-$500K
Financial Statement Fraud
	Revenue Recognition	Premature recognition, fictitious revenue, channel stuffing	Senior management, sales	$1M-$100M+
	Expense/Liability Manipulation	Understating expenses, hiding liabilities, improper capitalization	Senior management, accounting	$1M-$100M+
	Asset Overstatement	Inflating asset values, improper impairment avoidance	Senior management, accounting	$500K-$50M+
	Improper Disclosures	Omitting material information, misleading footnotes	Senior management, legal, accounting	$1M-$50M+
Corruption
	Bribery	Payments to influence decisions (commercial or government)	Sales, executives, agents	$50K-$10M+
	Conflicts of Interest	Undisclosed relationships benefiting decision-maker	Procurement, management, board	$50K-$5M
	Illegal Gratuities	Payments for favorable past decisions	Sales, management	$10K-$500K
	Economic Extortion	Demanding payments under threat	Vendors, partners (external)	$25K-$1M
	Bid Rigging	Colluding to predetermine contract award	Procurement, contractors	$100K-$10M+
Cyber Fraud
	Business Email Compromise (BEC)	Impersonating executive/vendor to redirect payments	External actors (targeting finance)	$50K-$5M
	Account Takeover	Compromising credentials to authorize fraudulent transactions	External actors (targeting any)	$25K-$1M
	Invoice Fraud (cyber-enabled)	Compromised vendor emails requesting payment changes	External actors (targeting AP)	$50K-$2M
	Data Theft for Fraud	Stealing PII/credentials for identity fraud	Internal or external actors	$100K-$10M+
	Cryptocurrency/Payment Fraud	Manipulating digital payment systems	Technical insiders, external actors	$25K-$5M

2. Fraud Triangle / Pentagon Analysis

Assess organizational exposure through the lens of fraud motivation theory.

Fraud Triangle Factors

Factor	Definition	Assessment Questions	Risk Level
Pressure / Motivation	Financial or personal pressure to commit fraud
	Financial pressure on employees	Are employees under financial stress? Aggressive incentive targets?	[High/Med/Low]
	Organizational pressure	Are there unrealistic financial targets? "Make the numbers" culture?	[High/Med/Low]
	External pressure	Industry downturns? Competitive pressure? Covenant compliance?	[High/Med/Low]
Opportunity	Ability to commit and conceal fraud
	Weak internal controls	Are there gaps in segregation of duties, approvals, reconciliations?	[High/Med/Low]
	Override capability	Can management override controls without detection?	[High/Med/Low]
	Inadequate monitoring	Is there limited oversight of transactions, access, behavior?	[High/Med/Low]
	Complex transactions/structures	Are there complex related-party transactions, off-book entities?	[High/Med/Low]
Rationalization	Ability to justify fraudulent behavior
	Tone at the top	Do leaders model ethical behavior? Is there a "rules don't apply to me" attitude?	[High/Med/Low]
	Organizational justice	Do employees perceive fair treatment, compensation, recognition?	[High/Med/Low]
	Ethical culture	Is there a strong code of conduct? Is it enforced consistently?	[High/Med/Low]

Extended Pentagon Factors (Beyond the Triangle)

Factor	Definition	Assessment Questions	Risk Level
Capability	Skills and position to execute fraud
	Technical knowledge	Does the individual understand systems well enough to exploit them?	[High/Med/Low]
	Authority level	Does the position carry sufficient authority to override or conceal?	[High/Med/Low]
	Coercion ability	Can the individual pressure others to assist or remain silent?	[High/Med/Low]
Arrogance	Belief that rules do not apply
	Entitlement	Does the culture tolerate "star performers" who bend rules?	[High/Med/Low]
	Ego / overconfidence	Do key individuals believe they are too smart to be caught?	[High/Med/Low]

3. COSO Fraud Risk Management Guide Application

Apply the 5 COSO principles for fraud risk management.

COSO Fraud Risk Management Principles Assessment

Principle	Description	Current Maturity (1-5)	Evidence	Gap
Principle 1: Fraud Risk Governance	Organization establishes and communicates a fraud risk management program that demonstrates expectations of the governing body and senior management and their commitment to high integrity and ethical values.	[1-5]	[Evidence]	[Gap]
Principle 2: Fraud Risk Assessment	Organization performs comprehensive fraud risk assessments to identify specific fraud schemes and risks, assess their likelihood and significance, evaluate existing fraud risk management activities, and implement actions to mitigate residual fraud risks.	[1-5]	[Evidence]	[Gap]
Principle 3: Control Activities	Organization selects, develops, and deploys preventive and detective fraud control activities to mitigate the risk of fraud events occurring or not being detected in a timely manner.	[1-5]	[Evidence]	[Gap]
Principle 4: Investigation and Corrective Action	Organization establishes a communication process to obtain information about potential fraud and deploys a coordinated approach to investigation and corrective action to address fraud appropriately and in a timely manner.	[1-5]	[Evidence]	[Gap]
Principle 5: Fraud Risk Management Monitoring	Organization selects, develops, and performs ongoing evaluations to ascertain whether each of the five principles of fraud risk management is present and functioning and communicates fraud risk management program deficiencies in a timely manner to parties responsible for taking corrective action, including senior management.	[1-5]	[Evidence]	[Gap]

Maturity Scale for COSO Principles

Level	Definition
1 - Initial	No formal program. Fraud risk addressed reactively.
2 - Developing	Some elements exist but not comprehensive. Limited documentation.
3 - Defined	Formal program with policies, procedures, and assigned responsibilities.
4 - Managed	Program actively monitored with metrics. Regular assessments conducted.
5 - Optimized	Continuous improvement. Advanced analytics. Industry-leading practices.

4. Fraud Risk Assessment Matrix

Map each fraud scheme to business processes, assess likelihood and impact.

Fraud Risk Assessment Matrix

Scheme ID	Fraud Scheme	Business Process	Likelihood	Impact	Inherent Risk	Existing Controls	Control Effectiveness	Residual Risk
FR-001	Billing — Fictitious vendor	Procurement / AP	[1-5]	[1-5]	[1-25]	[Control descriptions]	[Strong/Moderate/Weak]	[1-25]
FR-002	Payroll — Ghost employees	HR / Payroll	[1-5]	[1-5]	[1-25]
FR-003	Revenue recognition — Channel stuffing	Sales / Revenue	[1-5]	[1-5]	[1-25]
FR-004	BEC — Payment redirection	Treasury / AP	[1-5]	[1-5]	[1-25]
FR-005	Bribery — Government official	Sales / Government relations	[1-5]	[1-5]	[1-25]

Risk Scoring

Inherent Risk = Likelihood (1-5) x Impact (1-5)
    Range: 1-25

Residual Risk = Inherent Risk x (1 - Control Effectiveness %)
    Control Effectiveness: Strong = 80%, Moderate = 50%, Weak = 20%

Risk Classification:
    Critical (20-25): Immediate action required
    High (13-19):     Remediation within 30 days
    Medium (7-12):    Remediation within 90 days
    Low (1-6):        Accept or monitor

5. Anti-Fraud Control Mapping

Map preventive, detective, and corrective controls to each fraud scheme.

Control Mapping Matrix

Fraud Scheme	Preventive Controls	Detective Controls	Corrective Controls
Billing — Fictitious vendor	Vendor master approval workflow (dual approval); Vendor verification (TIN validation, address verification, bank account confirmation); Segregation of duties (requester ≠ approver ≠ payer)	Three-way match (PO-receipt-invoice); Vendor master analytics (duplicate addresses, P.O. boxes, employee address matches); Invoice analytics (round amounts, sequence gaps)	Vendor termination procedure; Loss recovery process; Disciplinary action per policy
Payroll — Ghost employees	New hire approval workflow with HR verification; Segregation of duties (hire ≠ approve pay); Annual headcount reconciliation	Payroll-to-HR master data reconciliation (monthly); Duplicate SSN/bank account detection; Terminated employee payroll audit	Overpayment recovery; System access termination; Law enforcement referral
Expense reimbursement	Written expense policy with limits; Pre-approval for expenses > threshold; Receipt requirements	Duplicate expense detection; Benford's law analysis on amounts; Supervisor review of all claims; Analytics for round numbers, weekend dates, split transactions	Reimbursement clawback; Policy violation consequences; Enhanced monitoring
Revenue — Premature recognition	Revenue recognition policy aligned with ASC 606/IFRS 15; Deal desk approval for non-standard terms; Contract review process	Revenue trend analysis (quarter-end spikes); Credit memo analysis post-quarter; Contract-to-revenue reconciliation; Side agreement audit	Revenue restatement process; Disclosure to audit committee; Regulatory notification if material
BEC / Payment fraud	Callback verification for payment changes (using independently sourced number); Email authentication (DMARC, SPF, DKIM); Wire transfer dual approval	Payment change audit trail review; Domain monitoring (lookalike domains); Unusual payment pattern detection	Immediate bank notification and recall; Law enforcement (FBI IC3); Insurance claim
Bribery / Corruption	FCPA/anti-bribery policy; Third-party due diligence; Gift and entertainment policy with pre-approval; Compliance training	Third-party payment analytics (round amounts, unusual destinations); Gift and entertainment log review; Whistleblower reports; Travel expense anomaly detection	Investigation protocol; Self-disclosure analysis (DOJ/SEC); Remediation and enhanced controls
Conflicts of interest	Annual COI disclosure requirement; Vendor relationship disclosure; Board member independence certification	COI disclosure vs. transaction analysis (undisclosed relationships); Related-party transaction review; Procurement award pattern analysis	Disclosure remediation; Recusal procedures; Contract renegotiation or termination

6. Red Flag Indicators by Fraud Type

Behavioral Red Flags (Applicable Across All Fraud Types)

Red Flag	Possible Indication	Follow-Up Action
Living beyond apparent means	Employee may be supplementing income through fraud	Discreet observation; if pattern persists, analytics on their transactions
Refusal to take vacation or share duties	Concealment risk — fraud may be discovered in their absence	Mandatory vacation enforcement; cross-training with job rotation
Unusually close relationship with vendor/customer	Potential conflict of interest or kickback scheme	COI disclosure review; transaction analysis
Excessive overtime without clear business reason	Time theft or concealment activity requiring extra hours	Workload review; access log analysis
Resentment or complaints about perceived unfairness	Rationalization factor; may justify fraudulent behavior	Management attention; engagement assessment
Defensiveness when questioned about work	May indicate concealment	Supervisory review of work products
Known financial difficulties (garnishments, bankruptcy)	Pressure factor in fraud triangle	Heightened transaction monitoring

Transactional Red Flags

Fraud Type	Red Flag	Detection Method
Billing fraud	Vendor with P.O. box only; same address as employee; round-dollar invoices; sequential invoice numbers from different vendors; invoices just below approval thresholds	Vendor master analytics, invoice analytics
Payroll fraud	Employees with same bank account; employees with no tax withholding changes; overtime outliers; commission rate anomalies	Payroll analytics, HR-payroll reconciliation
Expense fraud	Expenses on weekends/holidays; round amounts; sequential receipt numbers; duplicate submissions; meals exceeding headcount	Expense report analytics, duplicate detection
Revenue fraud	Quarter-end revenue spikes > 40% of quarterly total; unusual credit memo volume post-quarter; large revenue reversals; channel inventory buildup	Revenue pattern analytics, credit memo analysis
Corruption	Payments to high-risk jurisdictions (CPI < 40); unusual commission structures; large cash payments; consultant payments without clear deliverables	Third-party payment analytics, due diligence
Cyber fraud	Email domain misspellings; payment instruction changes via email; unusual login locations; large transfers to new beneficiaries	Email security, payment verification, access analytics

Analytical Red Flags

Technique	What It Detects	Application
Benford's Law deviation	Fabricated numbers (natural datasets follow expected digit distribution)	Expense reports, vendor invoices, journal entries
Duplicate detection	Duplicate payments, invoices, or reimbursements	AP transactions, expense reports, payroll
Round number analysis	Fabricated amounts (fraudsters tend to use round numbers)	All financial transactions
Threshold analysis	Transactions structured just below approval limits	Purchase orders, expense claims, wire transfers
Gap/sequence analysis	Missing transactions, altered sequence numbers	Check numbers, invoice numbers, receipt numbers
Trend analysis	Unusual patterns over time	Revenue, expenses, vendor payments, payroll
Outlier detection	Statistical anomalies (Z-score > 3)	Any high-volume transaction dataset
Network analysis	Hidden relationships between entities	Vendor-employee, vendor-vendor, customer-vendor

7. Whistleblower Program Assessment

Program Effectiveness Scorecard

Element	Best Practice	Current State (1-5)	Gap
Reporting Channels	Multiple channels: phone hotline (24/7, multilingual), web portal, email, in-person, anonymous options	[1-5]	[Gap]
Independence	Managed by independent third party; reports to audit committee, not management	[1-5]
Anonymity	Anonymous reporting available and assured; no caller ID, no IP tracking	[1-5]
Non-Retaliation Policy	Written anti-retaliation policy; active enforcement; consequences for retaliation	[1-5]
Awareness	Regular promotion (posters, training, intranet, onboarding); all employees know how to report	[1-5]
Accessibility	Available to employees, contractors, vendors, customers; multilingual if applicable	[1-5]
Triage Process	Documented triage criteria; timely acknowledgment; clear escalation paths	[1-5]
Investigation Protocol	All reports investigated; qualified investigators; documented procedures	[1-5]
Feedback Loop	Reporters receive status updates (while maintaining investigation integrity)	[1-5]
Metrics and Reporting	Report volume, types, resolution time, substantiation rate tracked and reported to audit committee	[1-5]
Benchmarking	Reports per 100 employees benchmarked against industry (ACFE median: 1.4 per 100)	[1-5]

Whistleblower Program Maturity Score: Total / 55 = [X]%

Score Range	Maturity Level	Action
85-100%	Leading	Maintain; benchmark externally
70-84%	Effective	Address specific gaps
50-69%	Developing	Significant enhancement needed
< 50%	Inadequate	Program redesign required

8. Data Analytics for Fraud Detection

Analytics Program Design

Analytics Type	Frequency	Data Source	Fraud Schemes Detected
Continuous (automated, real-time)	Daily/weekly	ERP, payment systems	Duplicate payments, threshold splitting, unauthorized payments
Periodic (scheduled analysis)	Monthly/quarterly	ERP, HR, expense systems	Ghost employees, vendor anomalies, expense fraud, payroll anomalies
Ad Hoc (investigation support)	As needed	All available data	Specific allegation testing, relationship mapping

Core Analytics Tests

Test	Method	Target Data	Expected Output
Benford's Law	Compare first-digit frequency distribution against expected Benford distribution; chi-square test for significance	Expense reports, vendor invoices, journal entries	Digit frequency chart with conformity score; p-value < 0.05 flags non-conformity
Duplicate Detection	Match on amount + date, amount + vendor, invoice number across vendors, employee bank account matches	AP transactions, expense reports, payroll	List of potential duplicates with match criteria
Round Number Analysis	Flag transactions where amount ends in 00, 000, 0000; compare % round numbers to expected baseline (< 5%)	All disbursements	Percentage of round amounts; list of round-number transactions above threshold
Threshold Analysis	Identify transactions at 90-99% of approval thresholds; cluster analysis for split transactions	Purchase orders, expense claims, wire transfers	Transactions near thresholds; related transactions suggesting splitting
Vendor Master Analytics	Match vendor addresses/phone/bank accounts to employee records; identify P.O. box-only vendors; dormant vendor activity	Vendor master, HR master, AP transactions	Potential shell vendors, conflict of interest matches
Ghost Employee Detection	Compare active payroll to HR master; identify employees with no benefit elections, no tax changes, duplicate SSN/bank accounts	Payroll, HR, benefits data	Potential ghost employees for investigation
Journal Entry Testing	Identify manual entries posted on weekends/holidays, round amounts, by unusual users, to unusual accounts, near period-end	General ledger	Suspicious journal entries ranked by risk indicators
Payment Pattern Analysis	Identify new payees receiving large first payments, payments to high-risk jurisdictions, payments without PO/contract	AP disbursements	Anomalous payment patterns for review
Anomaly Detection (Statistical)	Z-score analysis on transaction amounts by vendor/employee/account; isolation forest for multivariate anomalies	Any high-volume transaction set	Transactions with Z-score > 3 or anomaly score above threshold
Network Analysis	Map relationships between vendors, employees, bank accounts, addresses, phone numbers to detect hidden connections	Vendor, employee, payment master data	Relationship graph; clusters of connected entities

9. Investigation Readiness Framework

Investigation Readiness Checklist

Element	Required	Status	Gap
Written investigation policy and procedures	Yes	[In place/Partial/Missing]	[Gap]
Qualified investigators (internal or retained external)	Yes	[Status]
Forensic accounting firm on retainer	Recommended	[Status]
Digital forensics capability (in-house or retained)	Yes	[Status]
Outside counsel with investigation experience	Yes	[Status]
Evidence preservation protocol (legal hold process)	Yes	[Status]
Interview protocol (rights, documentation, witnesses)	Yes	[Status]
Chain of custody procedures	Yes	[Status]
Investigation reporting template	Yes	[Status]
Board/audit committee investigation reporting protocol	Yes	[Status]
Law enforcement referral criteria and procedures	Yes	[Status]
Recovery and restitution procedures	Yes	[Status]
Post-investigation control enhancement process	Yes	[Status]

Investigation Decision Tree

Allegation Received
  |
  +--> Is it credible? (Initial assessment within 48 hours)
  |     NO  --> Document assessment rationale; close with audit committee notification
  |     YES --> Proceed
  |
  +--> Does it involve senior management?
  |     YES --> Audit committee directs; outside counsel leads; do NOT notify subject
  |     NO  --> Internal investigation team or outsource based on complexity
  |
  +--> Preserve evidence immediately
  |     +--> Implement litigation hold
  |     +--> Preserve electronic data (do NOT alert subject)
  |     +--> Secure physical evidence
  |
  +--> Scope the investigation
  |     +--> Who: Subjects, witnesses, affected parties
  |     +--> What: Transactions, time period, systems
  |     +--> Where: Locations, jurisdictions
  |
  +--> Execute investigation
  |     +--> Document review and data analytics
  |     +--> Witness interviews (peripheral witnesses first, subject last)
  |     +--> Expert analysis if needed (forensic accounting, digital forensics)
  |
  +--> Determine outcome
        +--> Substantiated --> Disciplinary action, recovery, control enhancement, law enforcement referral
        +--> Unsubstantiated --> Document findings, communicate to reporter, close
        +--> Inconclusive --> Enhanced monitoring, periodic reassessment

10. Fraud Loss Quantification

Loss Quantification Framework

Loss Category	Calculation Method	Example
Direct Loss	Sum of misappropriated funds/assets	$X in fraudulent payments identified
Investigation Cost	Internal hours + external fees (forensic, legal, consulting)	500 hours x $150/hr + $200K external
Recovery Cost	Legal fees for recovery, insurance deductible, asset tracing	$X in legal fees; $X insurance deductible
System Remediation	Control enhancements, system changes, additional staff	$X in new controls, systems, and personnel
Regulatory Fines	Penalties from regulators for control failures	$X in SEC, DOJ, or other fines
Reputational Damage	Customer churn, revenue impact, recruiting difficulty	Estimated $X based on churn analysis
Opportunity Cost	Management time diverted, delayed projects	$X in estimated opportunity cost
Total Fraud Cost	Sum of all categories	$X total organizational impact

Loss Multiple Analysis

Total Fraud Cost is typically 2x-5x the direct loss amount

Industry benchmarks (ACFE Report to the Nations):
  Median loss per fraud case: $117,000
  Mean loss per fraud case: $1,783,000
  Median duration before detection: 12 months
  Estimated total fraud loss: 5% of annual revenue (ACFE estimate)

11. Industry-Specific Fraud Schemes

Financial Services

Scheme	Description	Key Controls
Rogue trading	Unauthorized trading positions exceeding limits	Position limits, independent P&L valuation, trade surveillance
Loan fraud	Fictitious borrowers, inflated collateral values	Independent appraisals, borrower verification, credit committee
AML failures	Structuring, layering, insufficient KYC	Transaction monitoring, CTR/SAR filing, enhanced due diligence
Insurance fraud	Fictitious claims, inflated losses, staged events	Claims investigation unit, analytics, SIU referrals

Healthcare

Scheme	Description	Key Controls
Upcoding	Billing for more expensive services than rendered	Claims data analytics, coding audits, compliance reviews
Phantom billing	Billing for services never provided	Patient verification, visit documentation, hotline
Kickbacks (Stark/Anti-Kickback)	Referral payments for patient volume	Fair market value assessments, compliance program, OIG exclusion checks
Diversion	Drug diversion by healthcare workers	Controlled substance tracking, discrepancy investigation

Government / Public Sector

Scheme	Description	Key Controls
Contract fraud	Bid rigging, change order abuse, cost mischarging	Competitive bidding, change order review, cost audit
Grant fraud	Misuse of grant funds, false progress reporting	Grant expenditure monitoring, progress verification
Time and attendance	Falsified time records, no-show employees	Biometric timekeeping, supervisor verification
Procurement fraud	Favoritism, split purchases to avoid bidding	Vendor rotation analysis, threshold monitoring

Retail

Scheme	Description	Key Controls
POS fraud	Fictitious returns, void abuse, discount abuse	POS analytics, void/return review, exception reporting
Inventory shrinkage	Theft by employees or organized retail crime	Inventory counts, CCTV, loss prevention team
Gift card fraud	Fraudulent activation, balance draining	Gift card reconciliation, activation monitoring
Vendor allowance fraud	Fictitious deductions, unauthorized markdowns	Vendor allowance reconciliation, deduction analytics

12. Anti-Fraud Program Maturity Model

Maturity Assessment

Domain	Level 1: Reactive	Level 2: Basic	Level 3: Proactive	Level 4: Managed	Level 5: Optimized
Governance	No anti-fraud policy	Basic policy exists	Comprehensive policy; board oversight	Regular board reporting; fraud risk in ERM	Continuous program evaluation; industry leadership
Risk Assessment	No fraud risk assessment	Ad hoc assessment	Annual formal assessment per COSO guide	Assessment tied to business changes; scenario-based	Continuous reassessment; predictive risk modeling
Prevention	Minimal controls	Basic SOD and approvals	Comprehensive preventive controls mapped to schemes	Controls tested regularly; design kept current	Adaptive controls; AI-based prevention
Detection	Discovered by accident	Basic whistleblower hotline	Hotline + periodic data analytics	Continuous monitoring + advanced analytics	Real-time detection; machine learning models; full population testing
Investigation	Ad hoc, untrained investigators	Basic investigation process	Formal protocol; trained investigators; outside counsel retained	Structured program with metrics; lessons learned integration	Best-in-class capability; proactive intelligence
Response	Inconsistent consequences	Documented disciplinary process	Consistent enforcement; recovery pursued; law enforcement referral criteria	Root cause analysis; control enhancement post-incident	Comprehensive remediation; industry sharing; regulatory cooperation
Monitoring	No program monitoring	Annual review by management	Regular KPIs; audit committee reporting	Benchmarking against peers; program effectiveness metrics	Independent program assessment; continuous improvement cycle

Maturity Score Calculation

Domain Score = Assessed Level (1-5)
Overall Maturity = Average of 7 Domain Scores

Target Maturity by Organization Profile:
  Public company (SEC registrant): Level 4 minimum
  Large private company: Level 3 minimum
  Mid-market company: Level 3 target
  Small/startup: Level 2 minimum, Level 3 target within 2 years
  Government / regulated entity: Level 4 minimum

Output Template

## Fraud Risk Assessment: [Organization]

### Assessment Parameters
| Field | Detail |
|---|---|
| Organization | [Name] |
| Industry | [Industry] |
| Revenue / Size | [$X / # employees] |
| Assessment Date | [Date] |
| Methodology | COSO Fraud Risk Management Guide |
| Assessor | [Name/team] |

### Executive Summary
[Overall fraud risk profile, critical findings, top fraud risk scenarios,
anti-fraud program maturity score, priority recommendations]

### Fraud Triangle / Pentagon Assessment
| Factor | Risk Level | Key Drivers |
|---|---|---|
| Pressure | [High/Med/Low] | [Key drivers] |
| Opportunity | [High/Med/Low] | [Key drivers] |
| Rationalization | [High/Med/Low] | [Key drivers] |
| Capability | [High/Med/Low] | [Key drivers] |
| Arrogance | [High/Med/Low] | [Key drivers] |

### COSO Fraud Risk Management Maturity
| Principle | Score (1-5) | Key Gap |
|---|---|---|
| Principle 1: Governance | [1-5] | [Gap] |
| Principle 2: Risk Assessment | [1-5] | [Gap] |
| Principle 3: Control Activities | [1-5] | [Gap] |
| Principle 4: Investigation & Corrective Action | [1-5] | [Gap] |
| Principle 5: Monitoring | [1-5] | [Gap] |

### Fraud Risk Heat Map
| Risk Zone | Fraud Schemes | Residual Risk Score |
|---|---|---|
| Critical (20-25) | [Schemes] | [Scores] |
| High (13-19) | [Schemes] | [Scores] |
| Medium (7-12) | [Schemes] | [Scores] |
| Low (1-6) | [Schemes] | [Scores] |

### Anti-Fraud Control Gap Analysis
[Control mapping with identified gaps and remediation recommendations]

### Red Flag Monitoring Program
[Key red flags to monitor with detection methods and responsible parties]

### Data Analytics Program Design
[Recommended analytics tests with data requirements and implementation priority]

### Whistleblower Program Assessment
[Effectiveness scorecard with improvement recommendations]

### Investigation Readiness
[Readiness assessment with gaps and remediation plan]

### Anti-Fraud Program Maturity Scorecard
| Domain | Current Level | Target Level | Gap |
|---|---|---|---|
| Governance | [1-5] | [Target] | [Gap] |
| Risk Assessment | [1-5] | [Target] | [Gap] |
| Prevention | [1-5] | [Target] | [Gap] |
| Detection | [1-5] | [Target] | [Gap] |
| Investigation | [1-5] | [Target] | [Gap] |
| Response | [1-5] | [Target] | [Gap] |
| Monitoring | [1-5] | [Target] | [Gap] |
| **Overall** | [Avg] | [Target] | [Gap] |

### Remediation Roadmap
| Priority | Action | Owner | Timeline | Est. Cost |
|---|---|---|---|---|
| Immediate | [Action] | [Role] | 0-30 days | [$X] |
| Near-term | [Action] | [Role] | 30-90 days | [$X] |
| Medium-term | [Action] | [Role] | 90-180 days | [$X] |
| Long-term | [Action] | [Role] | 180-365 days | [$X] |

### Disclaimers
> This fraud risk assessment provides a framework for identifying and
> mitigating fraud risk. It does not guarantee the detection or prevention
> of all fraud. No system of internal controls can provide absolute
> assurance against fraud. This assessment should be updated annually or
> when significant organizational changes occur.

Quality Checks

• Fraud risk universe covers all 4 major categories (asset misappropriation, financial statement fraud, corruption, cyber fraud) with specific schemes relevant to the organization's industry.
• Fraud triangle/pentagon analysis assesses pressure, opportunity, AND rationalization (plus capability and arrogance for pentagon) with specific organizational evidence.
• COSO Fraud Risk Management Guide principles (all 5) are assessed with specific maturity scores and evidence.
• Fraud risk assessment matrix maps specific schemes to specific business processes with scored likelihood and impact.
• Anti-fraud controls are mapped as preventive, detective, AND corrective for each significant fraud scheme.
• Red flag indicators include behavioral, transactional, AND analytical categories with specific detection methods.
• Whistleblower program assessment covers all key elements (channels, independence, anonymity, non-retaliation, awareness, triage, investigation, feedback, metrics).
• Data analytics program includes specific tests (Benford's law, duplicate detection, anomaly detection) with data requirements, not just general descriptions.
• Investigation readiness framework includes both the readiness checklist and decision tree for investigation management.
• Fraud loss quantification covers direct losses AND indirect costs (investigation, remediation, regulatory, reputational).
• Industry-specific fraud schemes are included for the organization's industry.
• Anti-fraud program maturity model scores all 7 domains on a 5-level scale with defined level descriptions.