AI-based Product Management

Your Solution for Digitalization and Technological Change

The ongoing digital transformation and the adoption of cutting-edge technologies like Artificial Intelligence (AI) present businesses with vast opportunities but also significant challenges. One major hurdle is the integration of new solutions into existing, often historically evolved, IT systems. According to a Gartner study (2020), over 60% of companies struggle to effectively integrate new technologies. Legacy codebases, inadequate interface capabilities, and complex IT architectures frequently uncover additional technical debt, which can severely hinder the efficiency of products and processes.

Tools such as SonarQube, Code Climate, and Sentry provide a systematic approach to identifying and addressing technical debt, while also enhancing code quality in the long term. By making vulnerabilities in your software transparent and offering actionable insights, these tools empower you to create stable and future-ready systems. Although this process can be time-intensive, it is essential for sustaining progress.

From my perspective, AI-driven product management emphasizes agility and focuses on delivering rapid results. This approach not only builds a robust foundation for digital transformation but also secures the long-term competitiveness of your organization. As a leader, you are tasked with enhancing efficiency, leveraging data-driven decision-making, and developing products that not only meet but also anticipate evolving market demands.

Advantages of AI-Powered Product Management

By leveraging Artificial Intelligence, product development processes can be optimized, data-driven decisions can be made, and product strategies can be better aligned with customer needs and market trends. This approach allows you to avoid getting bogged down by technical legacy issues and instead focus on proactively moving forward and creating measurable value quickly.

AI-driven product management automates routine tasks such as backlog management, writing user stories, or conducting market analyses. This can reduce the workload of product or service managers by up to 40%, freeing up more time for strategic tasks like product discovery, data analysis, and stakeholder management.

Book an appointment

Key Benefits at a Glance

Accelerated Product Development

By using AI-powered tools, you can shorten the development cycles of your products. Simple tasks, such as writing user stories, can be automated, freeing up more time for important activities like product discovery and stakeholder management.

Higher Product Quality

AI-powered systems detect and address errors and inefficiencies early on, improving the quality of your products and reducing risks during market launch. This refers to AI-driven analytical tools that can quickly and accurately identify trends and customer needs, enabling you to respond to market changes more rapidly.

Cost Reduction

The automation of routine tasks such as backlog management, writing user stories, etc., can be supported by appropriate tools, significantly reducing both time and costs through optimized development processes. The use of modern tools minimizes the need for manual intervention.

On-Demand AI Product Management Course

Product management course for AI product managers

Learn in 2025 how to successfully lead your AI product team – even without programming skills. This immersive course is designed for professionals who want to deepen their knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and prepare themselves to lead AI product teams effectively.

Introduction and Leadership of AI Teams: Collaboration with Engineering and ML Teams: Optimize collaboration with technical teams.

Automation and Efficiency: Automate tasks such as backlog management and market analysis. Streamline your development cycles and focus on strategic tasks such as product discovery, stakeholder management, etc.

Making Data-Driven Decisions: Develop data-driven decision-making processes to quickly identify market trends and align your product strategy accordingly.

Sustainability and Ethics: Address ethical and regulatory challenges in AI and develop sustainable solutions that deliver long-term value.

Professionals who want to develop a new AI product.
Executives looking to build an AI-centric company.
Individuals who are preparing to lead AI product teams.

Hands-on Learning: Gain practical experience through case studies and exercises that simulate real-world challenges.
Comprehensive Knowledge: Expand your understanding of AI and ML without the need for programming skills.
Career Development: Build the skills necessary to succeed in the rapidly growing AI industry.

Why You Should Work with Me

With my experience as a Product Manager in the games and app sector, as well as my roles as a Scrum Master, Agile Coach, and Release Train Engineer working closely with Product Owners and Managers, I have gained deep insights into the challenges and needs of these roles. I see the Product Owner and Product Manager as key figures within the team, often burdened by a heavy workload and frequently affected by overtime.

Using AI-powered tools, I assist in managing complex IT landscapes and technical debt differently, allowing you to fully focus on the future and the tasks that matter most.

Additionally, I offer:

17 years of IT experience across various company sizes and industries
10 years of training experience, both in adult education and on-the-job
Transparent, flexible, and attractive pricing – a unique feature in this field
Proven and sustainable profit growth, ensuring your business is future-ready

Feel free to contact me to learn more or to secure your spot for the first training session.

Make a reservation now