AI-Driven Business Models aims to meet the growing demand for advanced AI competencies in business management. The programme is designed to train leaders capable of integrating AI into organisational decision making and strategic processes, as well as professionals who can implement the functional and process
transformation driven by AI.

The programme will offer a multidisciplinary approach, combining advanced theory, case studies, and practical projects, ensuring participants gain a comprehensive and immediately applicable education.

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. Emphasis is placed on AI as a catalyst for transformative growth and competitive advantage.
• Strategy & entrepreneurship: defining AI-driven business models – the focus is on the evolution of business models, from traditional to digital and AI-Driven forms.
• AI investment landscape – it analyses investment approaches and includes real-world case studies to illustrate strategic AI investments.
• Responsible AI: ethical considerations – it is about ethical challenges related to AI, including bias, fairness, transparency, accountability, and societal impact.
• Building AI-driven businesses: legal issues, regulation and implementation constraints – it covers the legal and regulatory framework for AI businesses, from compliance and data privacy to risk and change management for the adaptation to AI.
• Future trends in AI & business model – it explores emerging AI trends and their impact on business models.

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.
• AI & marketing: reinventing customer engagement – it explores AI's role in transforming marketing and customer experience enhancement through predictive analytics approach and automation.
• AI & operations: reshaping business processes – this module focuses on using AI to optimise operations, improve decision-making, and drive efficiency.
• AI & robotics in sector-specific businesses – it explores how AI and robotics are applied in sectors such as manufacturing, healthcare, logistics, and retail.
• Managing the AI-Driven organisational evolution – it covers strategies for AI integration, innovation culture, and managing adoption challenges across teams and processes.

• Chief AI officer
• AI-driven innovation manager
• AI-driven risk & ethics manager
• AI-driven supply chain manager
• AI-driven strategy consultant
• AI business models designer
• Project manager (on AI projects)
• AI-driven senior analyst
• AI-driven startup-founder

To contact SELDA: 

• Use the “Request for Information” form on the iCatt homepage 

• Or email: selda.lingueper@unicatt.