Robotic Process Automation is a set of automation tools and softwares capable of automatically performing repetitive activities and tasks, emulating the actions of a human resource, and interacting with applications. 


What processes can RPA automate?

  • Rule-based processes 
  • Manual processes characterized by repetitive tasks 
  • Stable processes 

What actions can RPA perform?

  • Process tasks: specific tasks performed within individual processes (data sourcing and validation activities, opening documents, extracting data from documents, reading, and writing into databases, etc.)
  • Cross-functional tasks: activities shared between several functions with similar capabilities or activities performed to reconcile unstructured data
  • End-to-end processes: processes involving the access and use of several systems (ERP systems, e-mail, spreadsheets, websites, etc.) and the execution of long sequences of tasks

Some applications

  • Intercompany document reconciliation
  • Unstructured order management 
  • Supplier master data management 
  • Credit transfer reconciliation 
  • Customs documents management 
  • Invoice management 
  • Shipment tracking 
  • Ticketing


…to your problems…

Errors and inefficiencies due
to manual activities and tasks

Extended task execution times

Dissatisfaction of employees engaged
in repetitive and routine tasks

…to make a difference!

Advisory approach and prioritization 

The first step organizations must take to introduce RPA is the prioritization of the processes to be automated: thanks to process mining, DT supports companies in analyzing inefficiencies and identifying the most suitable areas and methods of intervention.

Low-code technology

A Robotic Process Automation project has the advantage that it can be implemented rapidly and with minimal involvement of the company’s IT professionals and experts, as it does not require complex integrations. This makes RPA a highly scalable and replicable technology.

Intelligent automation

The potential of RPA technology is amplified through its combination with Artificial Intelligence and Machine Learning tools.


Processes optimization

Automation makes processes faster and more efficient

Increased productivity 

Employees are engaged in higher value-added activities, with positive impacts on performance

Process times reduction

Reduction of the time needed to perform activities

Reduction inefficiencies and operational costs

Lower operating costs thanks to a 95% reduction in error rates


Increased data quality and process standardization


The fast implementation facilitates the replicability of the solution at the corporate and geographical level



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