AI-Driven Business Models

The AI-driven Business Models Master is structured around two complementary learning paths: AI in Strategy and AI in Action, each composed of six integrated modules. The AI in Strategy path provides a solid foundation in the strategic, legal, ethical, and economic dimensions of AI. It equips participants with the vision and analytical tools to understand how AI reshapes business models and competitive landscapes. The AI in Action path focuses on operational implementation and concrete experiences, offering a hands-on approach to applying AI across key business functions - from marketing and HR to operations and many sector-specific innovation examples.

Together, these two paths ensure a full-spectrum learning journey, blending long-term strategic approach with practical execution. By combining strategic vision and execution, this dual structure gives participants the tools to lead AI transformation with a strong foundation and practical insight.

AI IN STRATEGY

• AI-Foundations & Innovation Potential – This module offers an overview of artificial intelligence, focusing on its core principles and its role in driving innovation across industries. Topics include foundational AI concepts, business applications, and the creation of innovative products, services, and strategies. Emphasis is placed on AI as a catalyst for transformative growth and competitive advantage.
• Strategy & Entrepreneurship: Defining AI-driven Business Models – This module examines the evolution of business models, from traditional to digital and AI-driven forms. It emphasizes the growing value of data as a “currency” in shaping modern value creation.
• AI Investment Landscape – This module analyzes investment approaches by big tech, enterprises, venture capital firms, and family offices. It includes real-world case studies to illustrate strategic AI investments.
• Responsible AI: Ethical Considerations – This module addresses ethical challenges related to AI, including bias, fairness, transparency, accountability, and societal impact. It promotes ethical practices aligned with regulations to foster trust in AI solutions.
• Building AI-driven Businesses: Legal Issues, Regulation and Implementation Constraints – This module covers the legal and regulatory framework for AI businesses, focusing on compliance, IP, and data privacy. It also addresses risk and change management, implementation hurdles, and organizational adaptation to AI.
• Future Trends in AI & Business Model – This module explores emerging AI trends and their impact on business models. It focuses on AI-driven disruptions, scalable strategies, and how companies can prepare for an AI-powered future.

AI IN ACTION

Sector-Specific Innovations and Process Transformation – This module presents sector-specific case studies showcasing the application and impact of AI-driven business models in real contexts.

• AI & Talent Management: From Recruitment to Retention – This module explores how AI transforms HR functions, from recruitment to retention. Topics include talent acquisition, workforce analytics, employee development, and engagement through AI tools.
• AI & Marketing: Reinventing Customer Engagement – This module explores AI's role in transforming marketing, focusing on personalization, strategy optimization, and customer experience enhancement through tools like predictive analytics and automation.
• AI & Operations: Reshaping Business Processes – This module focuses on using AI to optimize operations, improve decision-making, and drive efficiency. Topics include AI-powered automation, process redesign, and organizational innovation.
• AI & Robotics in Sector-Specific Businesses – This module explores how AI and robotics are applied in sectors such as manufacturing, healthcare, logistics, and retail. It emphasizes efficiency, cost reduction, and service enhancement.
• Managing the AI-driven Organizational Evolution – This module focuses on leading organizational change in the AI era. It covers strategies for AI integration, innovation culture, and managing adoption challenges across teams and processes.

An additional strength of the program is the presence of international Faculty and experts with extensive experience in applying AI within the business context. The synergy between academia and industry will enable participants to gain practical skills and stay updated on the latest trends in AI and innovative business models. The AI-driven Business Models Master’s program fits perfectly within the University’s strategy to offer highly qualified educational paths aligned with the transformations of the global market, further strengthening Università Cattolica del Sacro Cuore’s role as a leading academic and professional reference in the field of artificial intelligence applied to business.