AI-Enhanced Prospecting and Qualifying

This unit teaches students how to combine human sales skills with AI tools to find, qualify, and prioritize agribusiness prospects. Lessons cover territory mapping, targeted lists and messaging, AI-assisted research and scoring, ethical limits of automation, and practical in-person and bot-enabled prospecting systems.

Learning Objectives

• Analyze customer, territory, and engagement data to build targeted prospecting lists and maps and compute predictive closing scores using AI-assisted tools
• Apply AI-enabled research techniques and natural-language strategies to develop personalized discovery, qualifying, and closing questions and tailored outreach messaging for agribusiness clients
• Demonstrate integration of human judgment with AI outputs—including use of bots, neural-network insights, and a hub-and-spoke in-person prospecting system—to qualify leads and manage follow-up workflows
• Evaluate the ethical, accuracy, and authority limitations of AI in sales contexts and recommend safeguards, oversight procedures, and communication practices to ensure compliance and maintain customer trust