GenAI prototype
GenAI prototype
We develop your GenAI prototype so that you can recognize the potential of Generative AI for your use case.
Test the feasibility of your use case to avoid nasty surprises
Generative AI automates repetitive tasks and produces creative, personalized content. This makes processes more efficient. No wonder every company wants to use AI. But is your use case even feasible? We'll find out together!
Prototypes are an excellent solution for testing data quality, technical feasibility and user acceptance at an early stage. And to quickly obtain a result with added value.
We are a member of the
From use case to prototype
From the data to the individual product
Would you like to develop a prototype for your use case? This is how it goes on:
Project Kick-Off
In the first workshop, we work together to gain an understanding of your use case and your business. We record your requirements and define project goals.
MVP
In the next step, we develop a minimum viable product (MVP). Through iterative processes, an AI system is created that serves as a solid foundation for future developments.
Further development
Individual extension
In this phase, we adapt to your needs. Our aim is to end up with a product that meets your wishes and requirements.
Project Kick-Off
In the first workshop, we work together to gain an understanding of your use case and your business. We record your requirements and define project goals.
From use case to prototype
Project Kick-Off
Data connection
Prompt Engineering
Prototype testing
Project Kick-Off
Data connection
Prompt Engineering
Prototype testing
20 % less waiting time in customer service
30 % less overproduction
through the use of a chatbot
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The challenge
Due to an increasing number of customer inquiries, the support team is overloaded and there are long waiting times. This reduces customer satisfaction. The costs for customer support are high.
Solution
Development of a chatbot prototype. Use of natural language processing (NLP) and machine learning to answer customer queries in real time. Feedback to improve accuracy and usability.
Result
The introduction of the AI-based chatbot enables improved customer service with unrestricted accessibility. At the same time, costs are reduced. Automated support boosts efficiency and increases customer satisfaction.
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25 % less migration
through precise predictions and churn prevention
Telecommunications
- Increased churn rate leads to loss of sales
- Traditional methods are not sufficient
- High costs for new customer acquisition due to customer churn
- Need to integrate and analyze extensive and diverse customer data
Azure, Power BI
- AI-based model for predicting customer churn
- Use of decision trees and neural networks to identify migration trends
- Use and consolidation of data sources such as user behavior, customer service interactions, contract information, demographic data
The introduction of an AI-based churn prediction system effectively reduces the churn rate and significantly increases customer loyalty. Thanks to machine learning, the company is able to make predictions about potential customer churn. On this basis, it takes proactive preventative measures. This leads to higher customer satisfaction and increased customer loyalty. The use of the AI system also reduces operating costs.
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