| Date | Venue | Fees | |
|---|---|---|---|
| 05 - 09 Oct 2026 | London - UK | $ 5,950 | |
| 21 - 25 Dec 2026 | Paris - France | $ 5,950 | |
| 22 - 26 Mar 2027 | London - UK | $ 5,950 | |
| 12 - 16 Jul 2027 | Amsterdam - The Netherlands | $ 5,950 | |
| 04 - 08 Oct 2027 | London - UK | $ 5,950 | |
| 20 - 24 Dec 2027 | Paris - France | $ 5,950 |
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
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit those who influence strategy, policy, governance, data usage, and organizational performance. It is designed for professionals seeking to lead responsible AI adoption while balancing innovation, risk, and operational excellence.
This GLOMACS Shadow Artificial Intelligence (AI) & the Intelligent Enterprise training course is suitable to a wide range of professionals but will greatly benefit:
- Senior executives and organizational decision-makers responsible for strategy, performance, and transformation initiatives
- Business leaders and decision-makers overseeing data, technology, or innovation programs
- Risk, compliance, and governance professionals managing regulatory, ethical, and operational exposure
- Digital transformation and innovation teams driving enterprise-wide AI and technology adoption
- Policy, planning, and operational professionals shaping organizational processes and future capabilities
Shadow AI Foundations: From Helpful Assistant to Hidden Risk
- Ai spectrum for leaders - building the right mental model
- Why shadow ai happens - drivers, incentives, and the productivity reality inside organizations
- Shadow ai risk map - accuracy, confidentiality, bias, compliance, and misuse
- Realistic shadow ai cases - the strategic lessons learned
- Designing your own ai advisor without creating new shadow ai
Shadow Data Meets AI: Privacy, Security, Bias, and Trust-by-Design
- The shadow data problem - where data leaks from and why leaders rarely see it coming
- Security & privacy controls - what must never go into a public model
- The ethical guardian: Bias, trust and privacy in decision making
- Explainability & the black-box challenge - when leaders should care
- Ethical dilemmas in ai decisions - choosing the right ai analytical tools
The Algorithm as a Shadow: Policy, Compliance, and Building a Defensible AI Constitution
- Algorithmic leadership roles - who owns what in an ai-driven organization
- The modern ai stack - why shadow ai bypasses security, logging, evaluation, and monitoring
- Closed vs open models - strategic, operational, and risk implications for leaders
- Build vs buy vs partner- achieving the fastest business value with acceptable risk
- Vibe coding lab: Drafting your ai constitution & policy pack - from governance blueprint to ready-to-use organizational app
AI Governance: From Shadow AI Chaos to an Innovation Strategy
- Ai governance board & operating model - lightweight but defensible
- Ai projects are experimental, not linear - the strategic paradigm shift
- Innovation sandbox & lean canvas for ai - from problem framing to value creation
- Human-in-the-loop “golden triangle of success” - controlling shadow ai, unlocking performance
- Governing ai from business value to innovation strategy - scenario planning toolkit
Beyond Shadow AI: Agentic AI, Digital Employees & the 90-Day Leadership Roadmap
- Agentic AI: From chatbots to digital employees
- Intelligent automation reimagined
- Physical AI & the next frontier of operations
- The algorithmic leader - Agent management and algorithmic thinking in the ai era
- Capstone strategy lab: The 90-day trusted ai roadmap: from shadow ai exposure to a scalable, governed ai ecosystem
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider
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