Role Automation

At Kapres Technology we develop RPA's oriented to the management of repetitive activities. Our digital worker not only executes some processes; thanks to ``Machine Learning`` of our solutions, it gets to process meta-processes. With this, we manage to Robotize complete roles.

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RPA Discovery Workshop

Three-day workshop we conduct at your premises to analyze your processes, understand them and help you come up with an RPA implementation plan.

Kapres Technology's RPA Consulting is our end-to-end RPA implementation for your organization.

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Artificial intelligence

Actions performed by machines that mimic human cognitive functions, such as learning and problem solving. Today, AI spans several technology disciplines, including machine learning and natural language support. Used alone, RPA is a great solution for automating non-intellectual tasks. AI, on the other hand, is capable of replicating the way humans think and act.
How to combine these two components?

Artificial intelligence in the service of RPA

Next-generation RPA solutions leverage artificial intelligence and machine learning to automate a wide variety of large-scale, repetitive tasks that previously required human intervention. When it comes to robotic process automation, many view software agents as the ``arms and legs`` of the solution, while AI components act as the ``brains``.

Cognitive document process automation

CDA supports structured and unstructured content, especially in business processes that require document manipulation. Thanks to AI, the RPA solution can become more efficient over time. As it processes documents, it learns to intelligently manage variations. CDA maximizes accuracy, efficiency and consistency, while dynamically adapting to changing processes.
CDA itself relies on several underlying artificial intelligence technologies, including optical character recognition (OCR), machine learning and natural language support.

Smart Display Automation

It relies on artificial neural networks to analyze application images. With the widespread use of virtualization, RPA solutions are finding it increasingly difficult to interact with this type of environment. The API solves the problem by automatically creating the user interface objects needed to design the software agent, which is therefore much faster. No more normalization and screen resolution problems: in fact, both automations are more popular artificial intelligence technologies in association with RPA, there are many other synergies easy to implement in business, with artificial intelligence services such as Google Vision, IBM Watson or various chatbots.

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