
How does AI-powered automation work?

01
Modeling of Data Input and Output
First, we conduct a detailed analysis of your current data processing processes. In doing so, we identify clear input and output parameters for the AI. We also define relevant performance metrics in advance to measure the AI's performance.

02

Query Design and Driving a Language Model
We design tailor-made queries that incorporate the expertise of our customers and are specifically designed for their needs. These queries enable us to use the OpenAI API or, depending on data sensitivity, an on-premises solution with an open-source language model.
03
Validation and Quality Assurance
The model's outputs are technically validated through a combination of automated and manual methods and reviewed based on industry knowledge. This ensures correctness, accuracy, and relevance, and guarantees that the results meet the established performance metrics and customer requirements.


04
Preparation and Delivery of Structured Data
In the final phase, we convert the results into a precisely structured format that is exactly tailored to your specific requirements. This preparation ensures that the data is easily integrable and immediately usable, whether for analytical purposes or as direct input for your business processes.