AI-driven business models for social enterprises

This topic explores how Artificial Intelligence (AI) can transform the operations, scalability, and impact of social enterprises. The WebQuests focus on the integration of AI into social entrepreneurship, showcasing how AI can optimize processes, enhance customer experiences, and create more efficient and impactful business models. Students will explore practical AI applications that help solve social challenges through innovative business strategies. 

Key Takeaways

  • Understand the fundamentals of social enterprises and how they differ from traditional businesses.
  • Learn how AI can improve operational efficiency and scalability in social enterprises.
  • Analyze and identify areas of improvement in an existing social business model that can be enhanced by AI.
  • Develop practical AI-powered solutions to optimize processes, improve decision-making, and increase impact.
  • Work collaboratively to create AI-driven proposals that align with social missions and business goals.

Learning Package

  • AI tools (ChatGPT, Perplexity AI) for business analysis and idea generation.
  • Business Model Canvas to design AI-driven business models.
  • Case studies on AI in social enterprises.
  • AI brainstorming tools (Miro, Canva) for visualizing solutions.
  • Pitch Deck tools for creating proposals.
  • Grant proposal templates and writing tools (Notion AI, Grammarly).

WebQuests

WebQuest: From idea to action: build your Social Impact Startup

WebQuest: It’s Not Magic, It’s AI! Transform Your Social Enterprise with Technology

WebQuest: Using AI to develop and write grant proposals

Other Categories

Cooperation partnerships in vocational education and training (KA220-VET).
Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Spanish Service for the Internationalization of Education (SEPIE).
Neither the European Union nor the granting authority can be held responsible for them.
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