A 2-day applied training programme aligned to the ACFE Occupational Fraud 2026 framework.
Learn to detect the most common fraud schemes using both traditional and AI audit analytics — and produce evidence your audit leadership can act on.
This programme is built on the ACFE's occupational fraud taxonomy.
Every objective maps to a proven fraud category from the ACFE Occupational Fraud 2026: A Report to the Nations — the gold standard reference for fraud examiners worldwide.
Most common fraud category — includes billing, payroll, and expense reimbursement schemes. Present in 90% of all fraud cases globally.
Present in almost half of all cases. Southern/Southeast Asia has the highest regional rate at 74% — the most prevalent scheme type in your market.
Least common at 6% of cases, but highest median loss at US$1 million per case — up significantly from US$766,000 in the 2024 edition. Revenue manipulation and journal entry fraud.
Each topic is grounded in the ACFE's occupational fraud taxonomy and applied to realistic Southeast Asian datasets — procurement, payroll, and financial data drawn from the industries and organisations your team audits.
Duplicate vendor detection, split purchase orders below approval thresholds, vendors sharing bank accounts, and kickback pattern indicators. Corruption is present in 74% of fraud cases in Southern/Southeast Asia — the highest rate of any region globally.
Ghost employee identification, duplicate bank accounts across payroll master files, unauthorised modifications to salary records, and overtime anomaly patterns in departmental data. A sub-scheme of asset misappropriation — present across every industry and organisation size.
Out-of-policy expense claim detection, duplicate submission identification across periods and cost centres, fictitious expense indicators, and credit note abuse patterns. One of the most frequently occurring asset misappropriation sub-schemes across all industries.
Round-sum journal entry anomalies, entries posted outside business hours or by unusual users, revenue recognition irregularities, and fictitious transaction patterns. The least common but most costly category — US$1 million median loss per case, a 30% increase from 2022.
Statistical and pattern-based techniques to surface behaviours that manual sampling misses — Benford's Law applications, frequency distributions, ratio analysis, and stratification across large transactional datasets.
Understanding what the AI-generated SQL script is testing, how to validate output, modify parameters for your specific data context, and distinguish genuine fraud indicators from statistical false positives using professional audit judgment.
Every session is anchored in a fraud scenario. Participants detect the fraud — the analytics tools are the means, not the lesson.
Critically, we demonstrate both generations of audit analytics side-by-side on the same dataset so you understand what changed, what stayed the same, and why it matters for your team.
Tools like Arbutus, IDEA, and ACL established the discipline of data-driven auditing — proving audit could go beyond sampling and setting the standard for rigorous analytical testing that the profession still builds on today.
- Auditor writes SQL test logic manually
- Powerful, but requires technical proficiency
- Excellent for structured, repeatable, documented tests
- Industry benchmark for 25+ years across SEA
AI-native analytics platforms analyse your data structure and generate SQL test scripts automatically. Auditors focus entirely on interpreting findings and making judgment calls — the machine handles query construction.
✔ AI generates test scripts from data — no SQL required
✔ Accessible to all auditors regardless of technical background
✔ Faster to deploy across new datasets and audit areas
✔ Audit judgment remains the irreplaceable human contribution
No death-by-slides. Each session combines a short theory foundation with immediate application on provided datasets.
Synthetic SEA-style data is used throughout — no need to bring your own organisational data.
Public cohort, maximum 20 participants per class. Group internet-based, hands-on environment. Each session introduces fraud theory, demonstrates the analytics technique, then puts participants to work on the dataset immediately.
All exercises use realistic SEA-style procurement, payroll, and financial datasets with deliberate fraud anomalies embedded. Participants do not need to bring their own organisational data. Bringing your own data is optional, never done publicly.
Each of the four fraud scheme topics is applied hands-on using the analytics tools. Participants run the tests, review the AI-generated output, identify the anomalies, and discuss the audit implications — just as they would in a real engagement.
Day 2 concludes with each participant completing a Methodology Summary Template covering their use case findings. This is a professionally structured, non-sensitive document ready to share with their Audit Manager — completed in class, not as homework.
Your AI analytics tool access is structured so you actually apply what you have learned — not let it expire unused. The first 3 months activate immediately.
The next 3 months unlock when you prove the training worked.
Certificate awarded. Months 1–3 AI analytics access activated immediately.
Complete 3 fraud analytics use cases using the AI tool on real or practice data.
Email your methodology summary to your manager — CC training@quaditix.com.
Additional 3 months activated within 1 business day. Total 6 months access.
Why this structure: Most training does not stick because there is no structured reason to apply it. This gives participants a concrete deadline, a deliverable, and a reason to demonstrate new capability to their audit leadership — in one step. The additional 3 months is the reward for applying the work.
This programme is for professionals who understand audit and want to add data analytics to how they work.
Basic Excel proficiency is the only prerequisite — no programming background required.
You run audit engagements. You want to move from sampling and observation to data-led evidence. This gives you four applied fraud use cases grounded in ACFE methodology that you can replicate on your next engagement immediately.
You investigate suspected fraud. AI analytics accelerates pattern identification in financial data — turning days of manual work into hours of AI-assisted analysis, while your professional judgment remains the irreplaceable element.
Fraud risk sits at the intersection of audit and compliance. If you are building a fraud risk framework, supporting internal investigations, or advising on control design, these ACFE-aligned analytics techniques apply directly to your work.
You handle financial data but lack a structured fraud detection methodology. This programme bridges both disciplines — leaving you with a framework that turns raw transactional data into defensible audit evidence.
Other analytics training teaches you software.
This programme teaches you to detect the fraud schemes the ACFE identifies as most prevalent — using both generations of tools.
Maximum 20 participants per cohort.
Register your interest and we will confirm availability and send an invoice within 3 business day.
- Duration: 2 days (9:00 AM – 5:30 PM each day)
- Format: Public classroom · Instructor-led · Max 20 participants
- Investment: RM 3,500 / THB 25,000 per person, all-inclusive
- Includes: Training, workbook, AI analytics tool access (6 months), certificate, meals
- CPE: 16 CPE hours (IIA Malaysia/Thailand / ISACA — accreditation applied for)
- Locations: Kuala Lumpur · Bangkok
- Enquiries: training@quaditix.com
Yes. The programme is fully aligned to the ACFE Occupational Fraud 2026: A Report to the Nations — the most comprehensive global fraud study in existence, based on 1,921 real fraud cases across 143 countries. The four fraud schemes covered (corruption/procurement fraud, payroll fraud, expense reimbursement fraud, and financial statement fraud) are the top ACFE-identified categories by frequency and loss. All statistics cited in the programme are sourced directly from the 2026 ACFE report.
No. The AI analytics tool used in this programme generates SQL test scripts automatically from your data structure. You do not write a single line of code. You learn how to interpret the output, understand what the test is checking, modify parameters, and apply professional audit judgment to the results. Basic Excel proficiency is the only technical prerequisite.
No. All exercises use synthetic datasets provided by us — realistic SEA-style procurement, payroll, and financial data with deliberate fraud anomalies embedded. We understand that internal audit and financial data is sensitive and confidential. Bringing your own data is optional and is never done in a public classroom setting.
We cover both generations of audit analytics tools in a side-by-side comparison exercise. Traditional analytics tools (representing the Arbutus, IDEA, and ACL generation) are demonstrated alongside a modern AI-powered audit analytics platform. The objective is not to certify you on one product — it is to give you the conceptual understanding and hands-on experience to work with either generation. The AI analytics tool access included in the programme fee is for continued practice after training.
Absolutely. The ACFE's own data confirms that the fraud schemes covered — procurement fraud, payroll fraud, expense reimbursement fraud, and financial statement fraud — occur across every industry and every organisation size. The programme's datasets and examples are drawn from a broad range of industries including manufacturing, healthcare, property, retail, government, and more. Any internal auditor, regardless of sector, will find the methodology directly applicable.
Your first 3 months of AI analytics tool access is activated immediately on completion of the training. To unlock the additional 3 months (total 6 months), complete three fraud analytics use cases using the tool within 60 days of your first login, and send your Methodology Summary to your audit manager or CAE with a CC to training@quaditix.com. We activate the remaining access within 3 business day of receiving your CC email.
We are applying for 16 CPE hours accreditation with IIA Malaysia / IIA Thailand and ISACA. Accreditation status is confirmed at least 4 weeks before each cohort runs. If your organisation requires specific CPE documentation, contact training@quaditix.com and we will advise on the certificates and attendance records we provide.
Yes. For organisations with 6 or more team members to train, we offer private in-house delivery at your premises or a venue of your choice. The programme can be customised with industry-specific fraud scenarios and datasets relevant to your sector. Contact training@quaditix.com with your organisation name and approximate group size for a proposal.
