Intelligent Automation

All Automation programs are faced with the creation of increasingly more complex and involved processes, with thousands of cases managed each week and growing data complexity. Building a sustainable and efficient Digital Workforce requires an engineering approach capable of solving these challenges.

Sprint Reply has designed the Intelligent Automation Framework: the architectural blueprint at the foundation of each Enterprise Automation implementation, created from the union of Artificial Intelligence and Robotic Process Automation (RPA) Platforms with Traditional System Integration.

Data, and its specific nature, determine the complexity of processes. The processing of the data requires robots capable of integrating different technologies and capabilities.

The 5 processing phases that potentially characterise every Intelligent Robot are Acquisition, Translation, Comprehension, Decision and Interaction. Depending on the complexity of the specific case to be managed, an Intelligent Robot can go through all 5 phases, or only a subset of them.

Robotic Process Automation platforms represent the enabling technology of the Digital Workforce, functioning as an orchestration system between different components. Artificial Intelligence, from Neural Networks for Computer Vision to Clustering Algorithms and Language Models, complement robotics and make it possible to solve increasingly more advanced and complex problems.

Sprint Reply Intelligent Robot