AI Business Innovation & Implementation

This unit synthesizes AI strategy, ideation, prototyping, and commercialization to move from experiments to value delivery. Students will learn to prioritize AI opportunities, select and apply tools across the design cycle, manage risk and cultural change, and prepare go-to-market and monetization plans.

Learning Objectives

• Analyze industry trends, customer needs, and competitive dynamics to identify and prioritize AI opportunities and assess potential disruption and long-term profitability for a defined business scenario.
• Apply AI ideation, prototyping, and expert-assistant tools to design, iterate, and document a solution concept (including mockups or a minimum viable prototype) that addresses a prioritized business problem.
• Evaluate implementation risks, ethical considerations, and organizational adoption barriers; develop a risk mitigation, governance, and change-management plan that includes user empathy and measurable success metrics.
• Demonstrate a viable go-to-market and monetization strategy by constructing a business model, revenue forecast, and operational plan that leverages AI capabilities and cross-disciplinary collaboration.