GenAI thinking ahead: How to turn an MVP into a scalable solution

Upcoming Event
Online
Ian Shulman
Julian Schütt
09
.
09
.
2025
/
Webinar

The transition from prototype to sustainable GenAI solution

Many companies start their AI journey with a minimum viable product(MVP) - such as an internal Q&A chatbot that answers questions about products, processes or guidelines. These initial use cases show: AI can bring real relief. But after the successful MVP, the real work begins.

In our webinar on September 9, 2025 at 10 a.m., you will learn how to strategically develop your GenAI application - with clear metrics, scalable infrastructure and a real user focus.

What you can expect in the webinar:

  • Why the work only really begins after the MVP
    How to master the transition from prototype to productive solution - while remaining flexible and future-proof.
  • The right evaluation metrics
    Which KPIs really count (e.g. acceptance rate, error rate) and how you can monitor quality automatically.
  • Scaling: data, users and infrastructure
    Strategies for growing data volumes, increasing usage and performance optimization in live operation.
  • Using user feedback systematically
    How to evaluate feedback in a structured way and use it for continuous fine-tuning.
  • Interface optimization in real use
    UX as a success factor: How to adapt interfaces, create transparency and increase acceptance.
  • Expanding the process view: From tool to solution
    Integration into existing workflows and adjacent systems - with concrete examples from practice.

The webinar is aimed at project managers, product owners, IT decision-makers and anyone who has already set up their first MVP or is planning to do so - and wants to know how to take the next step successfully.

So take this opportunity to find out how you can turn a good start into a sustainable GenAI solution for your company. Sounds exciting? Then register now for the free webinar:

Speaker

Ian Shulman
Person ICON
Ian Shulman
Senior Data Scientist
celver AG

Ian Shulman is a Data Scientist at celver with a particular focus on text generation using Large Language Models. He focuses on simplifying complex and cumbersome processes through machine learning approaches and using data science methods to extract new insights from the data.

Julian Schütt
Person ICON
Julian Schütt
Business Unit Lead Data & Cloud Services
celver AG

Julian Schütt has been advising our customers for over 15 years, from the conception to the implementation of smart data architectures. As head of the Data & Cloud Services business unit, he is involved in the use of innovative technologies, from agile cloud environments to the efficient use of artificial intelligence.

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