Seminar on Artificial Intelligence for Market Analysis, Business Model Development, and Technology-Driven Innovation
Upon request
1–2 days
Munich, Online, or In-House
Upon request
German or English
Digital Certificate of Participation
Innovation arises where market changes, customer needs, and technological possibilities are purposefully brought together. At the same time, companies face the challenge of analyzing large amounts of information, identifying relevant trends early on, and developing economically viable solutions from ideas.
Our AI in Innovation and Technology Management seminar demonstrates how ChatGPT, Claude, Microsoft Copilot, and other GenAI tools can support innovation and technology processes. You’ll learn to analyze market, technology, and customer information, develop new service and business model ideas, and evaluate them in a structured manner. You will then create and validate initial prototypes and develop a concrete roadmap for further implementation.
Content and Structure of the AI in Innovation and Technology Management Seminar
This continuing education program combines strategic innovation management with practical applications of artificial intelligence—from the initial potential analysis to the validation of a specific solution. Modules can be freely combined.
- Use ChatGPT and other GenAI tools to analyze market, technology, and customer trends
- Identifying Trends, Service Needs, and Opportunities for Innovation
- Analyze customer feedback, service requests, and market information
- Develop new ideas for services, customer loyalty, and business models
- Using AI to Gain New Perspectives, Develop Scenarios, and Explore Alternative Solutions
- Critically evaluate sources, assumptions, and AI-generated results
Result
: A structured collection of relevant opportunities and innovative ideas for new services, customer experiences, and business models.
- Consolidate and organize extensive lists of ideas
- Evaluate ideas based on customer value, strategic relevance, effort, risk, and feasibility
- Prioritize the most promising ideas for further development
- Develop Value Propositions for Different Customer Groups
- Develop service and business models supported by GenAI
- Structure target audiences, value propositions, channels, revenue models, and resources
- Develop strategy and implementation outlines
- Critically evaluate quality, plausibility, and economic viability
Result
: A prioritized innovation portfolio and a detailed service or business model.
- Develop initial prototypes for new services and customer experiences
- Using GenAI for Mockups, Dialogues, Service Workflows, and Communication Concepts
- Create synthetic user profiles and test scenarios
- Conduct early validations and structured feedback loops
- Evaluate and refine prototypes based on defined criteria
- Critically evaluate AI-generated test results and potential biases
- Determine the scope of the pilot, success criteria, and next implementation steps
Result
: A validated solution or service prototype with a concrete roadmap for piloting and further development.
What You Can Put into Practice Right Away After the AI in Innovation and Technology Management Seminar
After the training, you will be able to use AI in a targeted manner for innovation, technology, and development processes.
- Analyze market, technology, and customer trends more efficiently
- Identifying trends, needs, and new business opportunities early on
- Develop, evaluate, and prioritize ideas in a structured way
- Develop Value Propositions and Business Models
- Designing Service and Customer Experiences with AI Support
- Prepare pilot projects with clear success criteria
- Translate innovative ideas into concrete implementation measures
Who is the "AI in Innovation and Technology Management" seminar intended for?
This seminar is intended for:
- Executives and managers in innovation and technology
- Head of Digitalization and Transformation
- Product and Service Managers
- Employees from marketing, sales, and customer management
- Business Model Development Manager
- Innovation and Project Manager
- Companies that want to use AI for innovation and new services
This continuing education program is suitable for both beginners and experienced managers of innovation and technology projects.
Prerequisites for Enrollment in the AI in Innovation and Technology Management Seminar
No prior technical knowledge is required. Experience in innovation, product development, technology management, or customer management is helpful but not required.
Custom AI Training Programs for Innovation and Technology Management
- Customized Training Programs for Companies, Executives, and Innovation Teams
- Integration of our own market, customer, and technology issues
- Working with specific business models or service ideas
- Development of Custom Prototypes and Pilot Projects
- Offered as a seminar, workshop, or in-house training session
About Us as a Training Provider for AI and Innovation Management
We are an experienced management consulting firm with in-depth expertise in digital transformation, innovation management, and artificial intelligence, built on 20 years of consulting experience. Our training programs combine strategic business questions with concrete methods for technology, service, and business model development.
We help companies systematically identify AI potential, validate innovations more quickly, and implement new solutions in a way that makes economic sense. In doing so, we consider not only the technology but also customer needs, business models, organizational structure, and sustainable scaling.
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Expertise in AI and Innovation Management – Your Trainer
Thorsten Müller combines experience in digital transformation, leadership, and modern AI applications with a keen eye for strategic innovation. He demonstrates how companies can use ChatGPT, Claude, Microsoft Copilot, and other GenAI tools for market analysis, idea generation, business models, and prototyping.
AI and Human Resources:
Request a no-obligation
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- Using AI Strategically for Innovation, Technology, and Business Model Development
- Customized Professional Development for Companies and Innovation Teams
- Proven expertise in AI, strategy, and digital transformation
- Ready-to-use methods for market analysis, idea generation, and prototyping
TISAX and ISO certification apply only to the Munich location
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TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the AI in Innovation and Technology Management Seminar
No. The seminar is aimed at executives, innovation leaders, and business units—not exclusively at technical staff. The relevant fundamentals of AI and GenAI are presented in an accessible manner. The focus is on their application to innovation, technology development, and business models.
AI can assist with market and trend analysis, customer research, idea generation, and scenario planning. In addition, it can be used to develop value propositions, business models, service processes, and initial prototypes. However, the results must always be evaluated for plausibility, customer value, and economic viability.
Yes. The training covers ChatGPT, Claude, Microsoft Copilot, and other GenAI tools, among others (please specify in your request). You’ll learn which applications are best suited for research, analysis, creativity, communication, and prototyping. The selection can be tailored to your existing toolset.
Yes. Your own ideas for products, services, or business models can be integrated directly into the exercises. For in-house training sessions, we can also address specific market, customer, and technology issues relevant to your company. This creates a direct connection to current innovation initiatives.
AI can structure ideas, examine them from different perspectives, and compare them based on defined criteria. During training, you evaluate factors such as customer value, strategic relevance, effort, risk, and feasibility. The final prioritization remains a business decision.
Depending on the objective, the result may be an initial service prototype, a mockup, a dialogue flow, a communication concept, or a structured solution design. You will also develop test scenarios and feedback loops for further validation. The goal is to establish a clear approach for piloting and further development.
AI results may contain flawed assumptions, incomplete information, or biases. That is why you will learn to verify sources, scrutinize results, and document assumptions transparently. Potential biases are also taken into account when dealing with synthetic user profiles and test results.
In addition to customer benefits, the assessment considers effort, risk, strategic contribution, resource requirements, and scalability potential. From this, priorities and success criteria for a pilot project can be derived. In this training, you will develop a structured framework for this assessment.
Yes. The training can be conducted as a customized in-house seminar for executives, innovation teams, or specific departments. The content, examples, and exercises can be tailored to your strategy, processes, and current innovation projects.