Robotic Process Automation (RPA) Software Buyer’s Guide

UiPath Robotic Process Automation

High-level platform Providing seamless automation of data entry Desktop application Supports Excel and provides SAP and Citrix integration

Automation Anywhere Enterprise

Leading RPA Robotic Process Automation platform Enterprise grade solution combines sophisticated RPA AI & embedded analytic technologies to create software bots to automate 


Most powerful and Intuitive platform for Windows automation Enabling effortless desktop and web automation Perform effortlessly any task Empowering organizations Get greater efficiency

Robotic Process Automation (RPA) Software

Robotic Process Automation (RPA) Software applies defined habits to automate workflows and actions that typically need repetitive manual training. The solution can self-log into systems, start data, compute, conclude a task, and later log out with least or no human interference.

Advantages of Robotic Process Automation (RPA) Software

Reduced operational risks: As the software depreciates human intervention in its involved processes, it excludes the likelihood of manual errors. It diminishes functional chances in monotonous, structured assignments.  

Frees up staff for higher-value tasks: By diminishing human intervention, the software frees up workers to focus on higher-value responsibilities that can’t be limited within a fixed set of rules. Additionally, making employees operate on more impressive tasks makes them feel more connected to their work and improves their engagement and involvement.

Increased output: One of the chief benefits of RPA is that it’s autonomous or compulsions, such as employee availability and office times. Once initiated, the policy can work round the clock, every day of the year, without break.

Features of Robotic Process Automation (RPA) Software

Business process automation: Automate business work-flows using a collection of rules and algorithms to enhance processes, decrease costs, and optimize resources.

AI/machine learning: Use prepared data to help the policy analyze changes in means and adapt its rules subsequently.  

Optical character recognition: Record and recognize lettered or written text, and transform them into digital numbers.

Analytics: Research data sets to achieve and generate reports on profession functions.

Price of Robotic Process Automation (RPA) Software

Most market products are priced on a “per user, per year” license basis and can be classified into three pricing tiers based on their origin price. A premium product, which is priced higher, may include some additional features such as real-time monitoring and third-party combinations.

Considerations while Buying Robotic Process Automation (RPA) Software

Distinguish the processes you require to automate: Users must identify the strategies they wish to automate. RPA tools work best with long-term, well-defined methods that are subject to least changes.

Give preference to solutions designed for your industry: Most vendors sell generic RPA tools, while only a few sell industry-focused devices, such as RPAs for finance, insurance, IT, or marketing. It’s an excellent practice to favour RPA tools concentrated on your vertical as they can completely understand your means and automation needs. It’s also easier to train devices on vertical-focused RPA tools as they offer familiar interface and functionalities.

Enterprise-grade protection: RPAs imitate human activities based on appropriate predefined and sequential algorithms. They are nothing higher than many cryptograms and scripts at the back end, making them an obvious target for hackers. Poor security makes it easier for attackers to overwhelm bots with unnecessary data from anonymous sources and crash its accomplishment. Therefore, appraise the security dimensions of both the clarification and its merchant before starting a purchase.

Robotic Process Automation (RPA) Software Trends

RPA to become mainstream: According to Zinnov, enterprises contributed more than $2.3 billion on RPA tools in 2019. This investment is expected to increase by 35 to 40% in the next five years, transferring nearly $11 billion.

Cognitive RPA: According to research, over 90% of all enterprises’ data will be unregulated by 2020. A simple RPA tool is not designed to handle unstructured data or manage heterogeneous and dynamic methods. Therefore, RPA clarifications are now partnering with cognitive automation technologies like artificial intelligence and machine learning. Embedded AI will support RPA tools operate fine on unstructured data and increase the production of complex and even more numerous mission-critical workflows.

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