📌 Key facts
Work on real-world AI-driven business models and help shape how new AI products are structured, positioned, and brought to market. This project is ideal for students interested in the intersection of AI, entrepreneurship, strategy, and commercialization.
You will support venture-building activities for AI-based solutions such as AI matching systems, AI visibility analytics (GEO), and automation-enabled decision-support tools across multiple industries.
📝 Project types: IDP / Project Study / AP
👥 2–4 students
📍 Hybrid: Munich & Remote
🕒 Preferred: 3 months (full-time) | Start: May 2026 (flexible)
💡 Background
AI creates enormous technical possibilities — but turning these possibilities into viable business models is still one of the biggest challenges for companies today. Many AI products fail not because the technology is weak, but because positioning, pricing, customer targeting, and go-to-market logic are underdeveloped.
This project focuses on exactly this challenge: how to turn promising AI solutions into scalable, commercially relevant offerings.
Students will support the development of real AI products that are currently being prepared for market entry or further commercialization. The focus is not on pure technical development, but on the entrepreneurial questions behind successful AI ventures: What is the business model? Who is the customer? What is the value proposition? How should the product be packaged, priced, and sold?
🦾 Who We Are
i2a Services GmbH develops AI-supported strategy, analytics, and automation solutions with a strong focus on practical business impact.
The project is closely linked to real product and market development initiatives across industries such as:
- mechanical engineering and industrial technology
- banking and insurance
- telecommunications
- real estate
- consulting and professional services
- recruiting and staffing
Students will work at the interface of AI productisation, strategy, and venture building in direct collaboration with ongoing business initiatives.
🎯 Goals and Topics
Possible work streams include:
- shaping business models for AI-based products
- supporting business planning and commercialisation logic
- developing product positioning and value propositions
- defining customer segments and buyer personas
- designing go-to-market and distribution strategies
- developing pricing and packaging concepts
- conducting market and competitor analyses
- supporting pilot customer and early sales strategies
- creating structured sales and investor-style positioning materials
Depending on background and interest, students may also support selected aspects of MVP refinement, product testing, or AI workflow evaluation.
🎓 Profile
This project is particularly well suited for students interested in:
- AI-driven business models
- entrepreneurship and venture building
- strategy and innovation
- go-to-market design
- product commercialisation
- market analysis and competitive positioning
Helpful but not required:
- experience with AI tools or LLM workflows
- first exposure to startups, consulting, or business development
- analytics or Python basics
Strong machine learning expertise is not required.
Supervision
👨🏫 Christian Wimmer (Chair for Strategy and Organization @ TUM)
🤝 Dominik Wieland (Founder i2a>services)
Application Process
📝 Required Materials:
- CV
- short motivation statement (max. 1 page)
- preferred starting date
- grade report
📬 Send your application to: dominik.wieland@innovation2activation.com
(CC: chrisitan.wimmer@tum.de)
Join us in bringing AI-driven business models to market 🚀