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AI Lab

Partner Prospecting Agent

An AI agent that automates employer research to surface high-fit partnership leads by course, region, and CSR alignment.
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AI Enablement
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The Opportunity

Partnership and employer engagement teams spend hours manually researching potential sponsors and placement partners. The process is inconsistent and slow, often relying on individual knowledge or outdated spreadsheets. As a result, opportunities are missed, and outreach efforts focus on convenience rather than strategic fit.

Hypothesis

We believe that an AI research assistant which analyses company sites and LinkedIn data can automatically identify and summarise “employer alignment” with institutional goals, reducing time spent on research while improving lead quality.
Sector
Team

Design & Method

This experiment tests whether AI can reduce employer prospecting time without compromising quality or relevance.

Process

The step-by-step process that guides the setup, delivery, and measurement of the experiment.
Define Target Courses
Select three faculties or courses (e.g., Business, Computing, Health) to scope the pilot area.
Set Partner Criteria
Agree fit factors such as region, CSR theme, size, and industry relevance.
Configure AI Agent
Connect agent with prompt templates for research and summarisation.
Generate Employer Insights
Run the agent to extract and summarise alignment information from LinkedIn and CSR sites.
Cross-Reference with CRM
Match AI results against existing records to identify overlaps and gaps.
Validate Fit Scores
Human reviewers rate each employer for accuracy and relevance.
Compare Performance
Measure time taken and quality vs manually produced lists.

Inputs & Prompts

Examples of user queries used to train and evaluate the AI's understanding.

Employer Discovery Prompt

List UK employers offering placements or sponsorships in [sector].

CSR Summary Prompt

Summarise each company’s CSR focus, regional presence, and partnership potential.

Alignment Rating Prompt

Rate alignment with [University Name] courses and partnership themes.

Competitor Overlap Prompt

Identify overlaps with existing university partners in the CRM.

Experiment type
  • Workflow Optimisation
Maturity
Complexity level
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