RPA (Robotic Process Automation) is an opportunity to add value by creating (partially of completely) automated meta processes that control one or more existing applications to automate the interactions with those applications and thus enable the successful operation of the process.
RPA can reduce manual effort, reduce manuals errors, improve quality, accuracy and ensure consistency. RPA based processes are always available, can respond to changes more quickly and are more scalable that manual processes. They captures process information for reporting, analysis and process improvement and provide greater visibility and control.
Successful RPA is a pre-requisite to exploiting other technologies and approaches such as artificial intelligence.
POA (Process Oriented Architecture) is concerned with linking process areas to actual (desired) interactions – customer (external interacting party) service journeys through the organisation.
BPM (Business Process Management) is the disciplined approach to identify, design, execute, document, measure, monitor and control both automated and non-automated business processes to achieve consistent, targeted results aligned with an organisation’s strategic goals.
Increasing velocity of change means that informal, undocumented expertise makes reaction slow, exceptions are only known and understood locally – process architecture ensures knowledge is documented and change can happen quickly.
A change to digital operations means that internal processes are exposed – the potentially inefficient and manual processes must be made efficient and external interactions must be masked from the internal complexity.
Moving the organisation from one that is internally focussed around its siloed structures to one that is focussed on customer (external interacting party) straight-through interactions.
Automating existing processes requires a structured approach to process analysis.
A structured approach to designing new optimised processes is important to successful RPA implementation.