Course overview
Public-sector fraud investigations carry consequences beyond direct financial loss. Weakly scoped enquiries, incomplete evidence trails, poor interview practice or unsupported findings can expose agencies, state-owned entities, municipalities and donor-funded programmes to legal challenge, reputational damage and continued misuse of public funds. Finance, audit and investigation professionals need methods that distinguish control failures from misconduct, test allegations fairly and produce findings that withstand scrutiny.
This course develops a structured approach to forensic accounting in public bodies. Participants examine fraud risks in procurement, payroll, grants, revenue collection, assets and emergency purchasing. They apply the ACFE Fraud Tree, COSO Internal Control Framework, financial statement analysis, journal-entry testing, duplicate-payment tests, data profiling, link analysis and Benford's Law. The course also covers investigation planning, evidence preservation, chain of custody, PEACE interviewing, loss quantification, allegation assessment and report writing.
Teaching combines focused technical briefings with realistic public-sector cases, group analysis, investigation simulations and facilitated review of evidence and financial data. Participants work through the stages of a forensic engagement: receiving an allegation, setting terms of reference, identifying relevant records, testing transactions, interviewing witnesses and reporting findings. Each participant leaves with a practical forensic investigation toolkit containing reusable templates for planning, evidence management, fraud-risk assessment, interview preparation, reporting and remediation.
The course is suited to professionals who already work with public finances, controls, audits, investigations or compliance matters and need stronger forensic accounting capability. It is particularly relevant where public procurement, payroll, grant funding, service delivery payments or asset management create exposure to fraud and corruption.

