A one-day training tailored for business leaders and teams aiming to apply AI tools for product development, automation, and data-driven strategic decision-making.
| Chapter | Details |
| Partner | Solveo |
| Title | Training on AI for Business & Innovation |
| Service | Training on AI for Business & Innovation |
| Target Group | Companies, teams, and leaders looking to apply AI for innovation, optimization, and growth |
| Format | One-day interactive (intensive) in-person training |
| Focused on Key Technologies | Artificial Intelligence |
| Status | In development |
| Stakeholders from SME/PA Side | Teams working on product or service development |
| Requirements for Participation | Open to managers, team leaders, and product teams |
| Estimated Duration | 1 day (intensive format with hands-on work and strategic modules) (6-7 hours) |
Description of the Course
[Provide a detailed description of the course, focusing on its objectives, technical context, and unique value. Include examples and scenarios for real-world applications.]
Character Count for Description: recommended length 2,000-3,000 characters (including spaces).
Ideal Paragraph Structure:
- Introduction: 300-400 characters
- Technical Context and Examples: 700-1,000 characters
- Detailed Explanation of Core Concepts: 700-1,000 characters
- Tentative agenda of the course
- Conclusion and Unique Value: 300-400 characters
Introduction
This one-day training is designed for companies and teams looking to harness the potential of artificial intelligence to develop new products, improve business models, and automate core processes. The program bridges technological advancements with concrete business objectives through hands-on work and actionable implementation strategies.
Technical context and examples
The training focuses on how business teams can integrate AI tools into their existing workflows—from research and trend analysis to idea testing and automation. Participants will work with tools like ChatGPT, Perplexity, Claude, and platforms for market trend analysis and predictive modeling. Through simulations and real-world examples, they will explore how AI can support data-driven decision-making, spark product ideas, and enhance customer experience.
For example, a marketing team might analyze customer data using AI to identify new market segments, while a product team uses automated tools to test early-stage concepts. The program blends strategic thinking with hands-on experimentation to deliver outcomes that can be immediately applied in real contexts.
Detailed explanation of core concepts
This training connects the fundamentals of artificial intelligence with real-world business challenges and practical applications. The focus goes beyond technology, highlighting how AI can be strategically embedded into business models, workflows, and team collaboration. Participants will engage with tools, cases, and simulations to uncover AI-driven opportunities.
AI in business models and operations:
How AI can support innovation, efficiency, and rethinking of business processes.
Tools for analysis, ideation, and decision-making:
Practical use of ChatGPT, Perplexity, Google Trends, and Syntetic Users for research, idea generation, and testing.
AI and human-centered design:
How to blend AI technologies with creativity, empathy, and problem-solving rooted in user experience.
Tentative Agenda
- AI fundamentals: what it is, what it isn’t, and where it’s applied
- Using ChatGPT and Perplexity for research, analysis, and creative support
- Testing early-stage ideas with Syntetic Users and building AI-assisted concepts
- Developing a custom AI roadmap tailored to your business goals
This training provides a clear framework for applying AI in real-world business scenarios—not just as a technology, but as a practical tool for growth, innovation, and optimization. Its unique value lies in combining a strategic mindset with specific tools and tasks, enabling participants to leave with a personalized action plan for implementing AI within their organization.
Additional Course Information
| Category | Details |
| Developed skills | Participants will acquire knowledge and skills, including: |
| Understanding the fundamental principles of artificial intelligence
Using AI tools (ChatGPT, Perplexity, Syntetic Users) for research, analysis, and ideation Identifying opportunities for automation and process optimization Developing AI-assisted early-stage concepts or prototypes Creating a practical AI roadmap tailored to their organization |
|
| Learning Methods Used | Interactive lectures with real-world examples, hands-on exercises using AI tools |
| References/Resources | [List key references, contributors, and online/offline learning resources. Include links where possible.] |
| Overview Slides | [Indicate if there are supporting slides or documentation and where they can be accessed.] |