
Discover how automatic document classification works with AI OCR: steps, use cases and business gains.
Blog
Last update:
June 3, 2025
5 minutes
RPA (Robotic Process Automation) is a technology that makes it possible to automate repetitive and time-consuming tasks by simulating human actions on computer interfaces. Unlike AI, it does not make decisions: it reproduces processes that have already been defined.
Discover the benefits of an RPA solution to automate your repetitive tasks and improve the efficiency of your business processes.
An RPA solution is a software tool designed to automate business processes by interacting with applications in the same way as a human user. It uses a visual interface to perform structured tasks such as filling out forms, processing data, or managing emails. These robots follow specific rules and can be deployed quickly without changing the existing IT infrastructure.
RPA is based on software robots able to interact with applications as a human user would. These robots can:
RPA is used in numerous sectors to reduce manual work and improve productivity.
La Strength of RPA lies in its ability to take on tasks regular and structured. It is particularly effective in the following business processes:
With these automations, businesses are improving the quality of operations while reducing costs.
The integration of an RPA solution can profoundly transform operational processes:
When RPA is combined with a solution of OCR (optical character recognition) as Koncile, the possibilities are becoming even greater. OCR makes it possible to convert unstructured documents (PDF, images) into usable data. RPA can then take over to integrate this data into your tools (ERP, CRM, etc.).
Concrete example:
Here are the key steps for a successful RPA integration:
RPA is no longer a luxury, it is a strategic productivity driver. By combining it with an intelligent OCR like Koncile, you automate your document flows from end to end. Less manual work, more precision, and real operational acceleration.
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Discover how automatic document classification works with AI OCR: steps, use cases and business gains.
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