RPA is doing much more than we expected. 2019 witnesses a rapid change and experimentation with RPA tools. RPA as an industry growing exponentially. A prediction by Forrester shows it will increase from $250 million in 2016 to $2.9 billion in 2021. The big organization believes that if the on-going trend continues, we will witness a vast adaptation of RPA in almost all sectors.
In indeed, if you are planning for RPA, you are likely to see the fruit of investment. However, if you are still wondering where to start, here is an ultimate guide for your business needs.
In simple words, Robotic Process Automation is a software that is programmed to replicate what employees can do that is very transactional is not rule-based. It is typically faster, more accurate and works more flexibly than what humans can’t. As governed by Artificial Intelligence, RPA helps in several processes; however, application and system data gathering and interpretation is the most common use case of RPA. 
RPA compared to traditional process transformation approaches
RPA solution helps to automate the everyday manual tasks executed by configuration analysts. Manual jobs include application configuration, data entry, validation of files, creation of test data, data load and report generation.
RPA uses the following components:
Cognitive Automation Platform (CAP) – It is powered by machine learning & predictive capabilities to generate meaningful data from any format of unstructured data.
Unified Test Management Solution (UTMS) – It is supported by bots to boost productivity and efficiency by performing labor-intensive mundane tasks.
Configuring the application
The configurations are generally rules-based. A typical configuration has around 1500 rules. An analyst typically takes about 4-6 weeks for each project to complete the configurations. When a configure analyst performs these tasks, implementation consultants wait to do the validation. This contributes to a lengthy implementation cycle.
So, here the RPA improves not only the timelines but also the quality & productiveness of resources. Business requirement documents and other input documents such as price sheets, IDM, payroll schedules, etc. are stored in the cognitive automation platform to identify the required configurations. Static data and business rules are required to onboard a project.
Structured roles output is generated from CAP. It includes static data, the project-specific data such as benefit areas, plan options and much more that needs manually entering into the configuration tool.
Business rules are temporary and custom rules generated in the process to enable system functionalities. All of these rules are kept on the configuration pool. The CAP ensures structure rule generation from different unstructured file formats stored in it. The UTMS offers the capability to create the robotic scripts ensuring that the process rules are stored to the configuration tool without any manual support.
Utilizing the unique capabilities of CAP and UTMS, we reduce configuration effort by 60% and the product implementation time by 30%
The RPA is applied in different industries with the use of a wide range of RPA tools. The most popular RPA tools are UiPath, Blue Prism, Kofax and Automation Anywhere. These tools succeed because of their user interface, maintenance & support and vendor experience.
RPA can effectively complete any routine business process that follows simple rules to make a decision. So, you can perform an entire end-to-end process for your business.
Robotic Process Automation is best suited to use for:
Rules-based task.
Time-critical and particular period.
Prone to error.
Highly repetitive and mundane work.
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Artificial Intelligence is basically a set of processes which executes on itself without any human intervention, whereas automation refers to some instructions that are fed to a machine to execute recurring processes.
The major reason behind both these complementary technologies referred to as one is because, both these operate with one major goal- reduce unnecessary human intervention, create value and boost the efficiency of tasks!
To keep matters simple, let us see a practical implementation of both AI and automation that would get you an idea of why they go well with each other.
The experts at leading AI and automation firms like Synlogics help you come up with unique approaches and ideas that would create an enduring value for your respective firm.
A robot would do all the tasks based on rules mapped and fed on in repetition, with a greater speed and uniformity than humans and you don’t have to invest an added cost to get them trained.
Robots require information in the structured format, that is most of the data are unstructured like emails, invoices with limited information.
RPA Implementation in a business process helps in various ways.
It helps in automating the complex repetitive tasks and streamlines the workflow.In order to have this Implemented, you need to choose the right company.If you are looking for one, then I would suggest you this list of top RPA service providers.This benefits of RPA implementation are as listed below:Reduces errorReduces labour costsIncreases speedImproves efficiencyCost-savingImproves operational efficiencyImproved customer service, etc.
Take a look at top 11 use cases of Robotic process automation in Telecom industry , how rpa helps in telecom industry , benefits and 5 steps to implement rpa in telecommunications .RPA adoption in telecom is a great approach to overcome many of these challenges and issues hindering the growth of telecom companies.
The flexibility and ease of implementation of the RPA technology allow a wide range of operations to be automated for telecom providers.
