Capstone

Course Duration

Programme Objectives

• Consulting Project: Analyze a company’s business problem and recommend an AI-driven solution. For example, a student team might work with a local business to improve customer retention – they could analyze customer data using an AI tool to identify churn predictors, then propose a strategy (Module 3) and change plan (Module 1) to implement a personalized marketing AI solution.
• AI Implementation Plan: Select a specific AI technology (chatbot, predictive analytics, RPA, etc.) and develop an end-to-end implementation proposal for a firm. This would include a change management plan (Module 1), consideration of legal/regulatory compliance (Module 2) like data privacy, alignment with the company’s strategic goals (Module 3), adaptation for global or cultural factors if deploying internationally (Module 4), and addressing ethical implications (Module 5). The final deliverable might be a detailed report and presentation outlining how the AI solution would be rolled out, with a small demonstration or prototype.
• New Venture or Product Development: Create a business plan for a new product or service that is built around AI innovation. For instance, propose a startup idea that uses AI to solve a business/societal problem (e.g. an AI-driven personal finance advisor app). Students would cover market analysis, business model, go-to-market strategy, and even develop a prototype or simulation of the AI functionality. This taps into creativity and showcases understanding of innovation management (Module 6) and all-around business planning.
• Case Study Research: Investigate a prominent case of AI integration in business (such as how a multinational implemented AI in its supply chain or how a bank uses AI for customer service). Students would research and possibly interview stakeholders, then produce a case study report analyzing what made the project successful or what pitfalls occurred. They must connect this to course learnings – e.g. discussing the change management, leadership decisions, legal compliance, cultural issues, and life influence (ethics/CSR) aspects observed in the case.
• Integrated Simulation or Hackathon: Some projects may be done in a simulation environment or hackathon style. For example, students might participate in a simulated global business expansion scenario where each week they respond to new challenges: they might use an AI market analysis tool to choose a country to enter, then plan a culturally appropriate marketing strategy, then set up an AI chatbot for customer service in that region, etc. This would be structured by faculty but allow students to make decisions and see outcomes, reinforcing learning in a hands-on way.