Online
On-site
Hybrid

Enterprise AI Governance Risk and Compliance

A strategic, high-level program designed to equip senior leadership with the frameworks needed to approve AI initiatives confidently while minimizing legal, regulatory, and reputational risk. The course focuses on real-world lawsuits, regulatory enforcement, governance structures, and board-level oversight required to operationalize AI safely in large enterprises.

Duration:
2 days
Rating:
4.8/5.0
Level:
Beginner
1500+ users onboarded

Who will Benefit from this Training?

  • CXOs and Board Directors
  • General Counsels and Legal Heads
  • Chief Risk and Compliance Officers
  • CISOs and Data Protection Officers
  • Senior Business and Technology Leaders

What You'll Learn

AI adoption introduces existential risks for organizations when governance is unclear. This program helps CXOs, board members, and risk leaders understand why companies are being sued, fined, or publicly damaged due to AI failures, and how to prevent it. Through real legal cases, regulatory frameworks, and tabletop exercises, participants learn how to establish enterprise guardrails, governance committees, and board reporting mechanisms that allow innovation without loss of control.

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Training Objectives

  • Understand enterprise AI risk categories and liability exposure.
  • Interpret global AI regulations and emerging legal precedents.
  • Design AI governance and human-in-the-loop controls.
  • Evaluate vendors and internal AI systems for compliance risk.
  • Create board-level AI reporting and risk dashboards.
  • Draft a corporate AI Acceptable Use Policy.

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Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Module 1: The AI Risk Taxonomy
    1. AI liability and the black box problem
    2. Case study: Air Canada vs Moffatt (2024)
    3. Case study: UnitedHealth Group and algorithmic denial risks
    4. Shadow AI and data leakage risks
  • Module 2: The Global Regulatory Minefield
    1. EU AI Act risk tiers and extraterritorial reach
    2. NIST AI RMF: Govern, Map, Measure, Manage
    3. ISO IEC 42001 and AI management certification
    4. Emerging norms: copyright, deepfakes, disclosure laws
  • Module 3: Strategic Governance Frameworks
    1. Gartner AI TRiSM
    2. Explainability and regulatory defensibility
    3. ModelOps and rollback strategies
    4. Human-in-the-loop thresholds
    5. Workshop: Red team incident response tabletop exercise
  • Module 4: Enterprise Guardrails and Technology
    1. Guardrail concepts and enforcement layers
    2. Hallucination detection and accuracy scoring
    3. Vendor AI due diligence checklist
  • Module 5: The AI Governance Committee
    1. Committee structure and roles
    2. Green light process using AI Impact Assessments
  • Module 6: Board Reporting and Oversight
    1. Meaningful AI metrics vs vanity metrics
    2. AI risk register and heat maps
  • Capstone: Drafting the Corporate AI Policy
    1. Acceptable Use Policy clauses
    2. Human review mandates
    3. Disclosure and labeling requirements

Hands-on Experience with Tools

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Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why AI Governance matters for leadership

  • Executive accountability: Leaders are legally responsible for AI decisions made in their organizations.
  • Regulatory exposure: Global regulations now apply extraterritorially to AI systems.
  • Reputational risk: AI failures can cause immediate brand and trust damage.
  • Board confidence: Structured governance enables safe approval of AI initiatives.

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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