Shadow Artificial Intelligence (AI) & the Intelligent Enterprise

Introduction

This GLOMACS Shadow AI & the Intelligent Enterprise training course addresses one of the most urgent leadership challenges of the AI era: how organizations can harness artificial intelligence for growth and innovation while controlling the hidden risks of ungoverned, employee-driven “Shadow AI.” As AI tools quietly reshape decision-making, data usage, and operational workflows, many organizations now face unprecedented exposure in privacy, security, compliance, and trust. This training course equips leaders with the strategic frameworks, governance models, and practical tools required to regain control of AI adoption while preserving the speed and creativity that modern enterprises demand.

This training course provides a comprehensive, executive-level roadmap for transforming AI from an unmanaged risk into a trusted engine of performance and innovation. Participants will explore how to govern Shadow AI, protect critical data, embed ethical and explainable decision systems, and design future-ready operating models for agentic and autonomous AI. Through hands-on workshops, realistic case studies, and strategic simulations, delegates will develop a clear, actionable approach to responsible AI adoption, ensuring sustainable value creation, organizational resilience, and competitive advantage in an increasingly algorithmic world.

This GLOMACS Shadow Artificial Intelligence (AI) & the Intelligent Enterprise training course will highlight:

• How to identify, assess, and control Shadow AI risks across the organization
• Building a practical AI governance and compliance framework that enables innovation
• Embedding trust, ethics, privacy, and explainability into AI-driven decisions
• Designing AI operating models for enterprise-wide adoption and performance
• Developing a 90-day leadership roadmap for trusted, scalable AI transformation

Objectives

At the end of this training course, you will learn to: 

• Analyze Shadow AI risks and impacts
• Design effective AI governance frameworks
• Apply ethical AI decision models
• Develop enterprise AI adoption strategies
• Evaluate AI initiatives for business value

Training Methodology

This training course employs a highly interactive, executive-focused learning approach that combines expert-led discussions, practical frameworks, real-world case studies, and hands-on workshops. Participants will engage in group exercises, scenario simulations, and strategic problem-solving activities designed to translate concepts directly into organizational practice. Facilitated dialogue, peer learning, and structured reflection ensure immediate application of knowledge to participants’ professional environments.

Organisational Impact

The Organization will have the following benefits;

• Reduced Shadow AI risk exposure
• Stronger AI governance and compliance
• Improved data protection and trust
• Faster, safer AI adoption
• Higher quality executive decisions
• Sustainable AI-driven innovation capability

Personal Impact

At the end of this training course, the participants will gain the following;

• Strategic leadership in AI governance
• Confidence managing AI-driven decisions
• Advanced skills in risk control
• Practical tools for innovation leadership
• Enhanced executive judgment and credibility
• Career growth in AI-enabled leadership