automation maturity usually begins with RPA
The first stage of automation maturity usually begins with RPA as it offers immediate benefits in the form of FTE savings. Tasks with a high transactional volume, manual data entry, multiple handling of similar data, various systems including legacy systems, and a stable process make a good fit for RPA. This is marked by the use of “attended bots” that deploy RPA across silos and are predominantly localized in their implementation.
The next stage is focused on optimizing RPA processes that are already at work and moves beyond simple cost savings. Organizations begin prioritizing faster performance and turn-around rates as well as a significant reduction in errors for increased accuracy. The scope of automation broadens significantly as they begin to adopt digitized work queues and implement the use of unattended bots. This implementation is provided by a third-party workforce of trained developers who have limited skills in this arena. However, this stage is where FTE processes are further improved and advanced automation solutions like artificial intelligence and machine learning are deployed across silos.
In this penultimate stage of automation maturity, organizations aim towards achieving service self-sufficiency that is an alternative to outsourcing. The combined benefits of Stage-2 maturity ensure low costs and high accuracy, making near-shoring or in-house solutions more appealing. The additional focus in scope is on the adoption of sharable components and global enterprise components. Organizations here have typically deployed multiple bots with work queues moving steadily and prioritization of work items as analytics, RPA, and AI are integrated to enhance efficacy and efficiency. And supporting this entire system is an accredited development community with RPA implementation experience.
This stage is when organizations have achieved full transformation with converged and automation solutions like robotic process automation, AI/ML and analytics, fully integrated for intelligent operations. Reporting and health check-ups are now fully automated and key bottlenecks from legacy systems have now been resolved with standardized system-agnostic platforms.
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