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Course Outline

Introduction to AI Project Governance

  • What AI governance means in project and programme environments
  • Why governance matters when AI is used in delivery, reporting, planning, or decision support
  • How the AI Project Governance Framework fits with existing project governance practices

Framework Principles and Structure

  • Core principles of responsible and practical AI governance
  • Human accountability, oversight, and clear ownership
  • Using proportional governance based on risk, scale, and project context

AI Across the Project Lifecycle

  • Common points where AI may be used from initiation through closure
  • Governance checkpoints, reviews, and approvals at each stage
  • Recording assumptions, decisions, and exceptions

Roles, Responsibilities, and Decision Making

  • Key roles for project teams, sponsors, PMO, risk, compliance, and business stakeholders
  • Decision rights, escalation paths, and accountability for AI use
  • Working effectively across delivery and oversight functions

Risks, Ethics, and Compliance Considerations

  • Common AI-related risks in project work
  • Bias, transparency, privacy, security, and reliability concerns
  • Aligning AI use with internal policy and relevant legal or regulatory expectations

Controls, Assurance, and Monitoring

  • Setting practical controls for approval, use, review, and change
  • Verifying outputs, maintaining records, and supporting auditability
  • Monitoring AI use and responding to issues, exceptions, or incidents

Applying the Framework in Practice

  • Reviewing a realistic AI-enabled project scenario
  • Identifying governance actions, roles, risks, and evidence needed
  • Creating a simple governance checklist for day-to-day project use

Review and Next Steps

  • Recap of key concepts, terminology, and governance practices
  • Short knowledge check or sample foundation-style questions
  • Planning practical next steps for workplace adoption

Requirements

  • Basic understanding of project management and governance concepts
  • Some experience in project delivery, oversight, risk, compliance, or assurance activities
  • No programming experience required

Audience

  • Project managers and programme managers
  • Governance, risk, compliance, and audit professionals
  • Business leaders, PMO staff, and oversight roles involved in AI-enabled projects
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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