COURSE · PHASE 2
AI for Stakeholder Management
This practical course explores how AI can assist stakeholder mapping, insight checking, communication planning, and message drafting while keeping human judgment and relationships central. Participants work through a continuous fictional Bank change scenario using synthetic, non-identifying information. Activities include validating stakeholder maps, challenging AI-generated insights, contextualising communication plans, and reviewing messages for clarity, authenticity, fairness, transparency, and consent.
FROM THE CURRENT BROCHURE
Know what the experience covers before you download.
These highlights are drawn from the current approved course brochure and are designed to support an informed first conversation.
COURSE HIGHLIGHTS
The capabilities and outcomes in focus.
- 01
Use AI to identify stakeholder groups, relationships, informal influence, dependencies, decision relevance, and engagement needs, while validating outputs against human knowledge and data boundaries.
- 02
Assess AI-generated patterns in stakeholder needs, sentiment, relationships, and influence; distinguish useful insight from artifacts of data, method, or assumptions before acting.
- 03
Use AI to accelerate communication planning and tailoring while retaining human judgment about context, relationships, tone, and organisational dynamics.
- 04
Evaluate AI-generated messages for effectiveness, clarity, accuracy, tone, authenticity, and relational judgment, including fairness, transparency, and consent questions.
WHAT YOU'LL EXPLORE
A clear route through the key topics.
- 01AI-Assisted Stakeholder Identification
- 02AI-Assisted Stakeholder Insights
- 03AI-Assisted Stakeholder Communication Plans
- 04AI-Assisted Messaging and Human Judgment
- 05INTEGRATION, OUTCOME CHECK, AND CLOSE