The stakeholder storm: navigating overload and distraction
- The changing landscape of stakeholder management
- Risks of misalignment and communication fatigue
- Introduction to stakeholder triage and information overload
From noise to clarity: triaging and clustering input with AI
- AI approaches for stakeholder segmentation
- Techniques to separate signals from noise using LLMs
- Applications of clustering.
Understanding signals: patterns, sentiment, and contradictions
- Analysing tone, intent, and emotional weight
- Detecting emerging issues and feedback loops
- Managing conflicting inputs across teams and hierarchies
From insights to influence: tailoring communications with AI
- Testing content for different audiences
- Maintaining transparency and message integrity
- Using dashboards and summaries for stakeholder-specific communication
Ethical boundaries: transparency, authenticity, and trust
- Limits of automation in human communication
- Mitigating bias and safeguarding trust
- Governance frameworks and human oversight
- Case studies on responsible AI use in stakeholder contexts
Exams and assessments
Participants will be assessed through:
- Practical exercises and scenario-based activities
- Application of AI tools in stakeholder case studies
- Completion of the course earns the ICAgile AI for Stakeholder Management badge (micro-credential)
Hands-on learning
The course includes:
- Guided walkthroughs of AI tools for clustering, sentiment analysis, and content generation
- Simulations based on real-world stakeholder scenarios
- Group sessions and instructor feedback to refine communication strategies