AI-Driven Entrepreneurship: Designing and Scaling a One-Person Venture (FIN558)

FIN558 AI-Driven Entrepreneurship: Designing and Scaling a One-Person Venture equips students with the strategic frameworks and technical skills required to build a hyper-scalable business using artificial intelligence as the primary growth engine. Spanning the entire entrepreneurial lifecycle—from initial ideation and rapid prototyping to automated marketing and financial modelling—this course emphasises the rigorous, hands-on application of modern AI ecosystems. Participants will move beyond basic tool usage to deploy AI as a synthetic “co-founder,” learning to automate complex workflows, optimise decision-making, and unlock disruptive business models. Ultimately, this course empowers founders to architect, launch, and sustain high-margin ventures with a fraction of traditional startup resources.

• The Synthetic Co-Founder
• Algorithmic Market Validation
• Designing the One-Person Company
• Rapid Prototyping
• Zero-Code Execution
• Predictive Analytics
• The Autonomous Growth Engine
• Scalable Monetisation
• AI-Optimised Financial Modelling
• Bootstrapping to Scale
• The Self-Driving Enterprise
• Venture Resilience

• Analyse disruptive, high-margin business models to identify how artificial intelligence serves as the primary engine for value creation and competitive advantage
• Critique the ethical implications, platform dependencies, and data governance risks inherent in AI ecosystems to ensure the long-term sustainability of a one-person venture
• Construct Minimum Viable Products (MVPs) and digital services using AI-assisted development and low-code ecosystems to drastically reduce time-to-market
• Design automated, zero-marginal-cost backend operations by integrating autonomous AI agents to handle routine business processes
• Formulate a comprehensive go-to-market strategy that leverages generative AI for highly scalable, data-driven customer acquisition and market analytics
• Create pricing strategies and predictive financial models by applying advanced AI analytics tools to support rigorous executive decision-making