Step 1 – Basic analysis: Evaluate individual starting point

In the first step, the parameters mentioned are collected with ML and statistical methods based on sample data and compared with the empirical values of other companies.

The result is an expected rate for automated capturing.

Step 2 – Quality measurement

In a second step, we confirm and specify the expected automation rates with an objective measurement using a representative data set.

Step 3 – Potential assessment and final report

In a final step, the measurement and potential improvements through training data and model improvements are evaluated. Optionally, these improvements can be implemented immediately and the measurement carried out again.

Die Erkenntnisse fassen unsere Experten in einem Bericht zusammen.

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