Thinking Ahead with GenAI: How to Turn an MVP into a Scalable Solution

Many companies begin their AI journey with a Minimum Viable Product (MVP)—such as an internal Q&A chatbot that answers questions about products, processes, or policies. These initial use cases show that AI can truly lighten the load. But once the MVP is a success, that’s when the real work begins.

In our webinar, you will learn how to strategically develop your GenAI application - with clear metrics, scalable infrastructure and a real user focus.

Here's what you can expect from the webinar:

• Why the Work Really Begins After the MVP
  How to Master the Transition from Prototype to Production-Ready Solution—While Remaining Flexible and Future-Proof.
• The Right Evaluation Metrics
  Which KPIs Really Matter (e.g., acceptance rate, error rate) and How to Automatically Monitor Quality.
• Scaling: Data, Users, and Infrastructure
  Strategies for handling growing data volumes, increasing usage, and optimizing performance in live operations.
• Using User Feedback Systematically
  How to evaluate feedback in a structured way and use it for continuous fine-tuning.
• Interface Optimization in Real-World Applications
  UX as a Key Success Factor: How to Customize Interfaces, Create Transparency, and Increase User Acceptance.
• Expanding the Process Perspective: From Tool to Solution
  Integration into existing workflows and adjacent systems—with concrete real-world examples.

This webinar is aimed at project managers, product owners, IT decision-makers, and anyone who has already built an initial MVP or is planning to do so—and wants to know how to successfully take the next step.

So take this opportunity to find out how you can turn a good start into a sustainable GenAI solution for your company.