Introduction

AI can help partnership teams map ecosystems faster, identify high-potential partners, and prioritize collaboration opportunities using structured criteria and data-driven insights. This practical program equips Grade 5 partnership specialists with simple AI-enabled methods for partner discovery, ecosystem mapping, and partnership planning—while keeping strong human judgment and responsible use.

Course Objectives

By the end of this course, participants will be able to:

• Use AI to map partnership ecosystems and stakeholder networks
• Identify and shortlist partners using clear criteria
• Build simple partner scoring and prioritization models
• Create partnership plans and roadmaps with AI support
• Apply safe, responsible AI practices in external work

Target Audience

This course is designed for

• Senior Specialist (Grade 5) partnerships and collaboration staff
• Alliance and stakeholder engagement coordinators
• Program teams building partner networks
• External relations and communications staff
• Anyone supporting partnership planning and mapping

Course Outline

Day 1: AI Basics for Partnership Work

• Where AI helps in partnerships
• AI limits and verification needs
• Prompting basics for research and mapping
• Safe use: confidentiality and approvals
• Activity: Build a partnership AI prompt list

Day 2: Ecosystem Mapping with AI

• Defining the ecosystem scope
• Identifying stakeholder groups
• Mapping relationships and influence
• Grouping partners by segment
• Workshop: Create an ecosystem map draft

Day 3: Partner Discovery and Shortlisting

• Defining partner criteria
• AI-assisted partner research summaries
• Fit assessment questions
• Shortlist and rationale writing
• Activity: Build a partner shortlist

Day 4: Prioritization and Partnership Plans

• Simple scoring model (value vs effort)
• Risk signals and red flags
• Partnership approach options
• Drafting outreach plans and briefs
• Case study: Prioritization exercise

Day 5: Governance and Roadmaps

• Decision and approval steps
• Documentation and version control
• Tracking actions and next steps
• Success measures for partnerships
• Final project: AI partnership mapping playbook