Estimated impact
Directional ranges refined with real process data, workload volume and internal cost.
- Recoverable hours
- 50-140 h/month
- Avoidable cost
- EUR 4k-12k/month
- Fewer errors
- 40-75%
Less repetitive validation and more human focus on real exceptions.
Estimate from absorbed classification, checking and document preparation.
More consistent preliminary review criteria and inconsistency detection.
Eurofins needed to automate supplier documentation validation to reduce repetitive manual tasks and avoid bottlenecks in the process. The solution was designed as a document validator powered by AI agents.
The development combined Java and AI to analyze documentation, structure results and help the team focus on cases that actually require review.
The approach was not to replace human judgment, but to reduce the amount of repetitive checking that consumes time and creates waiting points. AI agents act as a first analysis layer to identify relevant information, flag inconsistencies and prepare validation work.
With this foundation, the document process can move forward with fewer blocks and a clearer split between routine tasks and exceptions. The team gains capacity to review what matters while the system absorbs part of the operational classification and checking work.
