loader image
Training Courses

AI In Governance - Risk - Compliance

Course Code
ML51
Category
MANAGEMENT AND LEADERSHIP
Course ID
2260
Course Outline

Course Overview

As AI continues to transform enterprise operations, its integration into Governance, Risk, and Compliance (GRC) has become a strategic necessity. This course explores how AI technologies are redefining GRC frameworks through predictive analytics, anomaly detection, regulatory automation, and intelligent controls. Professionals will learn how to design, implement, and monitor AI-powered GRC systems for improved transparency, resilience, and regulatory alignment.

TRAINING TOPICS

  • The evolving role of AI in GRC strategy and frameworks
  • AI for risk identification, prediction, and mitigation
  • Using machine learning for real-time compliance monitoring
  • AI-powered internal audits and control systems
  • Automating regulatory reporting and compliance workflows
  • Natural Language Processing for policy and document review
  • Ethics, bias, and governance in AI-driven decision-making
  • Integrating AI with existing GRC platforms (e.g., ServiceNow, MetricStream)
  • Regulatory technology (RegTech) trends powered by AI
  • Case studies in financial services, healthcare, and manufacturing

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO

  • Understand how AI enhances GRC processes and outcomes
  • Apply AI to identify emerging risks and compliance gaps
  • Design AI-driven workflows for real-time compliance
  • Evaluate and implement AI tools for internal auditing
  • Analyze ethical implications and regulatory impacts of AI systems
  • Build an AI governance model aligned with organizational GRC policies
  • Develop dashboards for predictive compliance and risk alerts
  • Translate legal and regulatory language into AI-ready formats

TRAINING IS TAILORED TO

  • Chief Risk Officers (CROs), Compliance Officers, and Internal Auditors
  • GRC Professionals and Regulatory Affairs Managers
  • IT Governance and Enterprise Risk Managers
  • AI & Digital Transformation Consultants
  • Data Protection Officers (DPOs) and Legal Teams
  • Professionals in finance, pharma, energy, and other regulated sectors

TRAINING METHODOLOGY

The course features expert-led sessions, live demonstrations of AI-driven GRC platforms, group simulations, and regulatory response case studies. Participants will design GRC automation prototypes using AI tools and analyze industry-specific use cases with compliance data sets.

DAY ONE:

THE FOUNDATIONS OF AI IN GRC

  • Understanding AI fundamentals in the context of GRC
  • Overview of GRC architecture and frameworks (COSO, ISO 31000, COBIT)
  • Evolution from manual to intelligent GRC
  • Emerging regulatory expectations for AI usage
  • Key AI technologies: ML, NLP, Computer Vision, RPA
  • Ethics and governance in AI-enabled decision systems

DAY TWO:

RISK MANAGEMENT ENHANCED BY AI

  • Predictive risk analytics using historical and real-time data
  • Machine learning models for risk classification and alerts
  • Risk scoring automation and visualization techniques
  • Scenario simulation and stress testing with AI
  • AI in third-party/vendor risk management
  • Tool Demo: IBM OpenPages with Watson

DAY THREE:

INTELLIGENT COMPLIANCE & REGULATORY ADAPTATION

  • NLP for interpreting regulatory documents
  • Automating compliance checks and controls
  • AI in anti-money laundering (AML) and fraud detection
  • RegTech platforms and AI-driven compliance solutions
  • Cross-border compliance and AI regulation variances
  • Tool Demo: Ascent, Ayasdi, and ClauseMatch

DAY FOUR:

AUDIT, REPORTING & GOVERNANCE AUTOMATION

  • AI in continuous auditing and control assessments
  • Smart audit trails and anomaly detection
  • Automated report generation and risk dashboards
  • GRC integration with enterprise systems (ERP, CRM, BPM)
  • Data privacy compliance with AI (GDPR, HIPAA, etc.)
  • Workshop: Automate a risk control testing scenario

DAY FIVE:

STRATEGY DEPLOYMENT & AI GOVERNANCE

  • Developing a roadmap for AI-enabled GRC transformation
  • AI model risk management and internal validation
  • Building an AI Governance Committee: roles and policies
  • Case Study: End-to-end implementation of AI in GRC
  • Final simulation: Drafting an AI-integrated GRC playbook
  • Certification exam and wrap-up

 

Course Schedule

Discounts and Registration

Group & Corporate Discounts:
Available for companies enrolling multiple participants to help maximize ROI.
Individual Discounts:
Offered to self-sponsored participants who pay in full and upfront.
Registration Process:
Corporate nominations must go through the client’s HR or Training department.
Self-nominations must be prepaid via the “payment by self” option.
Confirmation:
All registrations are subject to DIXONTECH’s approval and seat availability.
Refunds:
Provided in case of course cancellation or no seat availability.
Tax Responsibility:
Clients are responsible for any local taxes in their country.