Robotic Process Automation(RPA) allows businesses to automate tasks interacting with the existing IT architecture with simple integration. However, maturity is an aspect that is vital to adopt, implement and scale RPA is the most feasible manner.
The pointers listed below provide insights to understand the state of maturity of an organization’s RPA implementation.
Understanding the primary goal of the undertaking gives a better insight into strategy. This would highlight the motives of the initiative to make the right moves at the right time.
If the organizational structure can contribute to managing a hybrid undertaking with an amalgamation of bots and human workforce. Also, if the structure can support and lead a streamlined automation process that involves management of information, implementation and process improvements.
The usability and stage at which the technology at an organization prevails. The question will be around how the malleability and maturity of the prevailing technology for the implementation of RPA.
The processes should be easily accessed by vendors to support automation. Looking at the attributes of processes will help understand if they will need to be altered to implement RPA.
The measurement of ROI is carried out in a balanced fashion, making way for accurate data. This would, in turn, influence the decision-making process in the organization.
The maturity of the IT and human workforce in the organization to sustain the delivery of automation solutions. The above indicators are pivotal for emerging technologies such as RPA. When businesses self-analyzed the above pointers, they were individually categorized in 3 stages.
Stage 1: Preliminary
Here, the stage is more around the businesses working on a pilot project, taking the initial moves to implement RPA. This involves zeroing in on the ideal processes to test the efficiency in departments where introduction and experimentation of projects require a minimum dependency on other functions.
Stage 2: Standardization
This stage is apt for businesses in a reactive mode, taking managed scaling and investment decisions. The RPA maturity usually reaches the commercialization stage in a few months or midway into the journey. This stage witnesses a lot of a back and forth with humans managing both process and desktop automation.
Stage 3: Last Mile
The stage involves governance and adopting a consistent framework with the establishment of the RPA Center of Excellence (CoE). Here, the automation maturity reaches a place of cognizance where the entire undertaking is managed by bots. This stage paves the way to advanced scaling possibilities and an anchor to move to other processes.
Other categorization indicators include security, user management, audit, and analytics. The levels can’t be considered in a sequential manner as in some cases, businesses may move from Stage 1 to Stage 3. This is possible when the management recognizes the scope and pays attention to the strategy and approach towards RPA at an early stage in the automation lifecycle.
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