AI with real business impact, in only a few weeks
Start your AI proof of concept with KPS in 4–6 weeks
Many companies recognise the potential of AI, but getting started often remains an abstract concept. With a structured proof of concept, you can quickly turn concrete ideas into reality and lay a solid foundation for further investment and scaling.
Whether it’s generative AI, intelligent automation or data-driven analytics, together we’ll develop measurable use cases from initial ideas that deliver real added value for your business.
👉 Quick start, initial results in just a few weeks
👉 Focus on concrete business outcomes rather than theory
👉 Joint development and validation of relevant use cases
👉 Scalable solutions based on modern AI and cloud technologies
From marketing to e-commerce and customer service, we help you deploy AI in a practical, fast and targeted way.
Book your AI PoC workshop and start seeing results.
What is an AI proof of concept?
An AI Proof of Concept (PoC), often referred to as a Proof of Value, is a clearly defined project that enables companies to assess, quickly and with minimal risk, how generative AI or big data analytics can create real added value before making major investments in processes or solutions.
Together, we identify and define relevant use cases – if these have not yet been established – and implement them as prototypes within a few weeks.
The aim is to quickly determine:
-
Which AI use cases make sense for your company
-
Whether the solution is technically and organisationally feasible
-
What specific business impact the solution can achieve
-
Whether scaling up and further investment are worthwhile
This enables you to establish a sound basis for decision-making and achieve initial measurable results before launching extensive AI initiatives.
This is how the AI proof of concept works
What you get
⚪Joint identification of relevant AI use cases⚪Implementation of a specific use case
⚪Transparent assessment of feasibility and business impact
⚪A clear basis for decision-making regarding further investment
⚪Specific recommendations for scaling
Would you like to find out whether and how AI can be used effectively in your business? In a no-obligation initial consultation, we'll work with you to assess your idea, potential use cases and the scope for a rapid AI proof of concept.
How companies achieve measurable AI results
10 % more accurate demand forecasts thanks to AI and Google Cloud
REHAU Window Solutions worked with KPS to optimise its demand forecasts using SAP data, AI and Google Cloud technology. By utilising pre-trained AutoML models and combining internal and external data, the quality of the forecasts was improved by over 10 per cent. The result was more efficient stock and demand planning within just three months.
Find out more about the REHAU Window Solutions success story
Dynamic pricing, 230% increase in turnover
Galeria, in collaboration with KPS, utilised AI-based dynamic pricing and cutting-edge Google Cloud technologies to manage pricing strategies in an automated and market-driven manner. The result: a 230% increase in turnover, a 50% higher profit margin and a return to break-even after just two months. Intelligent price adjustments enabled faster responses to market changes and new business opportunities.
Find out more about the Galeria success story
80 % accuracy thanks to AI-powered product recommendations
Toolport, in collaboration with KPS, developed an AI-based product recommendation solution using Google Cloud Vertex AI to better capitalise on cross-selling opportunities and enhance the customer experience. By analysing historical product and purchase data, intelligent recommendation models with an 80 per cent accuracy rate were created. The solution lays the foundation for scalable AI capabilities in e-commerce.
Find out more about the Toolport success story
Frequently asked questions:
Do we need a specific use case?
No. You can get started even without a fully formed idea. Together, we'll identify relevant opportunities and develop suitable use cases for your business. If you already have a specific challenge, we'll incorporate it specifically into the PoC.
How long does an AI proof of concept project take?
Usually 4–6 weeks, depending on the use case.
What are the system requirements?
These depend on the specific use case and will be agreed with you on a case-by-case basis.
Why is a proof of concept a good way to get started with AI?
A PoC enables you to see, in a short space of time, exactly where and how you can use AI effectively and what results are possible. You test a use case in a controlled and secure environment, without the need for significant initial investment. On thís basis, you can make an informed decision on wether and how to scale up further. With KPS's experience and expertise, combined with a structured approach, you can get started quickly and lay a solid foundation for your AI initiative.
