Artificial Intelligence (AI)-Driven Stakeholder Engagement

Introduction

This training course will help you to make sense of an increasingly complex and interconnected world, effective stakeholder management has become a critical success factor for organizations navigating rapid change, growing expectations, and rising complexity. The emergence of Artificial Intelligence (AI) offers transformative capabilities to enhance every stage of the stakeholder engagement cycle — from identification and profiling to strategy design, expectation management, and performance evaluation. This intensive, high-impact course empowers participants to harness AI tools and techniques to elevate stakeholder engagement practices, drive more informed decision-making, and build stronger, more resilient relationships with key influencers and partners.

Combining cutting-edge AI applications with proven stakeholder management frameworks, participants will explore real-world case studies, hands-on exercises, and strategic simulations that bridge theory and practice. The training course emphasizes not only the practical use of AI tools but also the ethical, legal, and governance considerations essential to maintaining trust and accountability in stakeholder relationships. By the end of this training course, participants will possess actionable skills to integrate AI into stakeholder management processes, delivering greater value and strategic advantage for their organizations.

This GLOMACS Artificial Intelligence (AI)-Driven Stakeholder Engagement training course will highlight:

•  How AI enhances stakeholder mapping, profiling, and influence analysis.
• AI-supported engagement strategies tailored to dynamic stakeholder needs.
• Real-time sentiment analysis and predictive analytics for proactive expectation management.
• Ethical, legal, and governance issues related to AI-driven stakeholder engagement.
• How to apply AI tools across the full stakeholder engagement lifecycle.

Objectives

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

•  Explain AI principles, capabilities, and limitations in stakeholder management
• Apply AI tools to identify, map, and profile stakeholders
• Design AI-driven strategies anticipating stakeholder needs and expectations
• Implement AI-supported processes for communication and expectation management
• Evaluate AI-enabled engagement using metrics, feedback, and improvements.
• Assess ethical, legal, and governance implications of AI use.

Training Methodology

The training course employs a dynamic, multi-style learning approach combining expert-led lectures, real-world case studies, hands-on AI tool demonstrations, interactive group discussions, and practical simulations. Participants engage in problem-solving exercises, scenario planning, and peer collaboration to apply concepts directly to stakeholder challenges. Live feedback, reflective activities, and ethical debates encourage critical thinking and deeper understanding. 

This interactive, applied methodology ensures participants build both practical skills and strategic insights for AI-enabled stakeholder management.

Organisational Impact

The Organization will have the following benefits;

• Strengthen stakeholder engagement with AI insights.
• Improve decision-making using predictive analytics.
• Enhance stakeholder mapping and profiling accuracy.
• Proactively manage expectations and mitigate conflicts.
• Apply ethical AI practices in engagement.
• Drive strategic value through data-driven engagement.

Personal Impact

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

• Build expertise in AI-powered stakeholder management.
• Gain hands-on experience with AI engagement tools.
• Hone strategic thinking and decision-making skills.
• Strengthen conflict resolution and negotiation capabilities.
• Enhance ethical judgment in AI applications.
• Boost career growth with future-ready competencies.