Описание
Business Training Audience
Business Owners
Board of Directors
Senior Management
Head of IT
Managers and Specialists of Internal Control, Internal Audit, Risk Management, Security, and HR
This business training on building an internal control system and using artificial intelligence in building a risk-based internal control system will help solve practical problems:
Learn artificial intelligence (AI) technologies and data analytics for building a modern, adaptive, and risk-based internal control system (ICS)
Explore the potential of AI in risk management and control
Learn to build risk-based control processes with elements of automation
Learn to use Data Analytics and AI to monitor and evaluate control effectiveness
Master the tools for designing and implementing intelligent control systems
Learn to develop a digital risk management culture
Main Topics of the Business Training:
Transformation of Internal Control in the Digital Age
Objective: Understand how digitalization and AI contribute to are changing the approach to control and risk management.
Topics:
Modern trends in the digitalization of control and audit
The concept of a risk-based approach: from formal control to an intelligent system
The role of AI and automation in risk management
Elements of digital maturity of an internal control system
The impact of ESG, cyber, and regulatory risks on the internal control system
Workshop: Analysis of the current maturity of a company’s internal control system
Artificial intelligence and its application in control
Objective: To study how AI technologies can automate and strengthen control processes.
Topics:
Fundamentals of AI, Machine Learning, and Data Analytics
Types of AI Applications: Classification, Forecasting, Anomaly Detection
Using AI in Control Processes: Automatic Transaction Analysis, Detection of Deviations and Fraud
Robotic Process Automation (RPA + AI)
Control Test Automation and Continuous Control Monitoring (CCM)
Workshop: Examples of AI Algorithms for Analyzing Transaction and Control Data
Building a Risk-Based Internal Control System (ICS)
Objective: To develop the structure of a risk-based ICS with elements of intelligent analysis.
Topics:
Components of a Risk-Based Internal Control System (COSO, ISO 31000, COBIT)
Risk Identification, Assessment, and Prioritization
Risk-Control Matrix Automation
Implementation of AI in Risk Assessment Processes
Integration of AI Analytics with Internal Audit and Compliance
Workshop: Building a Risk and Control Point Map with Elements of Automation
Data Analytics and Continuous Monitoring
Objective: To master methods for applying data analytics to continuous control monitoring.
Topics:
Fundamentals of Data Analytics for Internal Control
Using AI Models for Big Data Analysis
Control Dashboards and Risk Visualization
Real-Time Monitoring of Anomalies and Transactions
Integrating AI with BI Systems and ERP
Workshop: Designing an AI Dashboard for Monitoring Key Risks
Automating Control Processes Using AI and RPA
Objective: Learn to use AI and robotics to automate control functions.
Topics:
RPA (Robotic Process Automation) and its Combination with AI
Automation of Control Points and Reporting
Artificial Intelligence for User Behavior Analysis and Violation Prevention
Building Smart Control Tests
Examples of Integrating RPA Bots into Financial Control Processes
Workshop: A Case Study on Implementing Automated Control Scenarios
Change Management and Implementing AI Controls
Objective: Prepare an organization for the implementation of an intelligent ICS.
Topics:
Stages of AI implementation in the internal control system
Change management: engaging management and employees
Developing a digital control culture
Ensuring transparency and trust in AI solutions
Team training and competency development
Workshop: Developing a roadmap for implementing AI in a company’s internal control system
Metrics for the effectiveness and maturity of a digital internal control system
Objective: Learn to measure the effectiveness and maturity of AI controls.
Topics:
KPIs and KRIs for assessing the effectiveness of an internal control system
Maturity metrics for a digital control system
ROI of implementing AI initiatives
Maintaining and developing a continuous improvement system
Workshop: Creating a KPI map and a system for monitoring the effectiveness of an internal control system
Duration of the training: 2 days
