Achromic Point

Forensic Accounting and Fraud Investigations Detecting fraud, even for a seasoned professional, is not always easy, and preventing it can be twice as challenging. Participants learn how to use analysis tools (Fraud Triangle) to detect fraud and prevent fraud from occurring. Participants also explore the aspects of internal control and the theories available to assist in fraud detection and prevention. They examine how various techniques such as an ethics hotlines and a Fraud risk assessment within a company can assist the organization in detecting and preventing fraud. Participants gain a deeper understanding of fraud investigation in India and the rest of the world. Specifically, they explore fraud theories and schemes, legal elements and investigation planning. Applying methodologies to case studies, participants analyze standard practices, financial statement fraud and misstatement, and the investigator's roles and responsibilities during an engagement. • Business Fraud Scenario and Fraudster Profile • Fraud Triangle, Types, Sector Classification • Internal Financial Controls (IFC) as per Companies Act 2013 (Sec 143, 134), Auditing Standards, Fraud under the Companies Act • Fraud Reporting under section 143(12) of Companies Act 2013 • Red Flags - Concepts and Techniques • Fraud Investigation and Engagement Processes • Forensic audit plan, program, field work, evidence, Court proceedings, coordination with law enforcement agencies, engagement conclusion • Forensic Financial Analysis – manipulation and window-dressing of financial statements – potential techniques and detection patterns

Financial crime is prevalent in today's society and a challenge for accountants, auditors and other professionals to detect and prevent. Participants gain a basic introduction to fraud in India. They are introduced to a variety of fraud theories and fraud schemes, such as identity theft, money laundering, financial statement fraud, healthcare fraud, insurance fraud, skimming and larceny schemes, cheque and credit card fraud, billing schemes, payroll schemes, bribery and Internet fraud. • Identify threats in Forensic audit and deploy safeguards • Fraud Risk indicators • Fraud Risk Management process • Fraud prevention & detection – Case Studies • International best practices & Advisories in Forensic Audit • Introduction to Data Extraction, Digital Forensics and Cyber Crime, • Development of Anti-fraud policy • Role of Internal Auditor in detecting frauds

Analytical modelling has been a mainstay of leading fraud and financial crimes programs for years. Supervised predictive modelling, network analytics and unstructured text mining are key to detecting and preventing suspicious activity. But as fraudsters become increasingly sophisticated in their schemes, organizations are looking for ways to take their fraud detection efforts to the next level. Artificial intelligence, machine learning and robotic process automation are at the forefront of those efforts. Hear from experts and practitioners how they are leveraging analytics in their fraud programs and what types of new technology they are exploring for the future. Learn how to harness these technologies to safeguard your organization and proactively deter fraudsters. • Apply data analytics best practices in preventing, detecting, and investigating fraud • Incorporate emerging technologies into your data analytics and anti- fraud initiatives

• Role of CBI, ED and interface with forensic audit • Trends, Challenges and Initiatives to Mitigate On-going Risk & maintaining regulatory compliances • Looking into the future- Artificial Intelligence, Machine Learning and IOT: Essential Weapons in the War on Fraud and Debt • Impact of Covid 19 on Litigation and Investigations • Analysing the evolving GC role and its broader skillset expectations: is the modern GC the guardian of the ethical risk or legal risk? • Compliance and Investigations: Current and Future Perspectives