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T O P I C S

Time: 2 PM – 6 PM (IST – Indian Standard time)

DAY 1: 27 September 2021

Session 1: What is new in internal audit?
  • How has the crisis of 2020 impacted internal audit?
  • Key business risks and trends for internal audit in 2021
  • How has the audit agenda changed?
  • The impact of the revised 3 lines model from the IIA
  • The changing internal audit approach
  • The relationship to the Board
  • The role of risk appetite and its impact on internal audit
  • The changes to internal audit reporting
  • The role of artificial intelligence in internal audit
  • The role of internal audit in fraud deterrence
  • Improving value added
Break
Session 2: Digitization and Automation
  • How is business changing?
  • Embedding controls in the 1st line
  • The role of the 2nd line
  • Artificial intelligence, data mining and the role of internal audit
  • Application of the risk-based approach
  • Dealing with the future and legacy
  • Robotic process automation and internal audit
  • Identifying barriers to implementation
  • Making internal audit forward looking
Break
Session 3: The Role of internal audit within ICT
  • The role of ICT and the changes that have occurred
  • The increased focus on operational resilience
  • The auditing of model risk management
  • The identification of critical functions and services
  • The identification and audit of critical third parties
  • The changes to and audit of BCP and DR
  • The audit of incident management

DAY 2: 28 September 2021

Session 4: Internal Audit and Cybersecurity
  • Changing work patterns and their impact
  • The changing risk environment
  • Adaption of controls
  • Cyber security risks and their audit
  • Identifying mitigational strategies
Break
Session 5: Changing Regulation and Internal Audit
  • Changing expectations of interna audit
  • Changes in the local regulatory landscape
  • Changes in the global regulatory landscape
  • Expectations regarding taxation
  • Identifying future trends
Break
Session 6: Internal audit and Data Mining
  • The changes to substantive tests of detail
  • The uses of data mining within internal audit
  • The impact on planning
  • Changing your approach
  • The opportunity for internal audit
  • Challenges of collecting information
  • How to infer linkages
  • Patterns and analysis
Break
Session 7: Data mining issues
  • Issues with data and the impact of the crisis
  • The value to be gained by internal audit
  • Data cleansing
  • Data completeness
  • Data reduction
  • What does this mean for internal audit?

DAY 3: 29 September 2021

Session 8: Internal Audit Data mining process
  • Defining the internal audit role
  • Designing data collection
  • Process design
  • Stages
    • Exploration
    • Design and validation
    • Deployment
  • Recognition of the change of analysis
  • Developing suitable audit findings
Break
Session 9: Internal Audit Analysis of Data Analytics
  • Fraud deterrence
  • Financial crime deterrence
  • Unusual patterns of behaviour:
    • Record to Report
    • Purchase to Pay
    • Order to Cash
    • Hire to Retire
  • Reviewing the 1st line analytics suite
  • Reviewing 1st line actions
Break
Session 10: Issues and Examples
  • When is data mining of greatest value to internal audit?
  • Examples of good practice
  • Thinking before you start!
  • Dealing with disparate systems
  • Key areas for application
  • Parameters and false positives
  • Discounts and supplier activity
  • Fraud detection
Break
Session 11: The Changing Audit Report
  • The impact of faster reporting
  • The different needs of the auditees
  • Addressing changing demands
  • Educating the auditees and the audit committee
  • What works and what does not?