Cambridge
Academy
In London

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 Outlines

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