About RPA

WHAT IS ROBOTIC PROCESS AUTOMATION

Think of a software robot as a person on your team
Take a repetitive rules-based task, map out the business process, automate it and assign a ‘bot’ to manage it

Multiple bots create a digital workforce

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THE SOFTWARE ROBOTICS LANDSCAPE

Cognitive agents, AI and RPA are not the same.  The secret is to use the right technologies for the right use cases and orchestrate them together.  Like an Operating System for the digital architecture, RPA engages AI to recognise items and take actions without external intervention and connects disparate systems to orchestrate activities. As a transactional platform, RPA turns decisions into action

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ORCHESTRATING ACTIVITIES & AUTOMATING THE LONG TAIL

The multi-purpose digital workforce is a strategic enterprise asset.

Operated by a control room, automated processes are handed to software robots. RPA orchestrates activities by securely logging-in to systems without need of systems integration. Unconstrained by organisational silos, RPA effortlessly spans geographies, lines of business, processes, applications and systems.  Historically, labour was thrown at issues that arose from these interfaces but now, bots can do the job of people – only cheaper, faster and more accurately

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WHAT RPA DOES – SOME COMMON USES

RPA captures and interprets existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems

 

  • Double data entry – simulates user rekeying of data from one system to another; data entry, copying and pasting
  • Rule-based decision-making – as long as decision matrices can be documented, then RPA can handle them, making simple rules-based decisions, based on data or criteria, along the business process and by exception, sending items for decisions by human workers
  • Automated preparation of reports – automates the extraction of data to provide accurate and timely reports to customers, regulators etc.
  • Information validation and auditing – reconciles and cross-references data between different systems to validate and inspect information and provide compliance and auditing outputs
  • Straight through processing – workflow enabled interactions; automatically enters inputs from source systems into target systems, from trigger to completion
  • ‘Virtual’ system integration – transfers data between disparate and legacy systems by connecting them at the user interface level instead of implementing new data infrastructure and APIs
  • Application migration – migrates application data, records and history as part of an upgrade or migration project