As automation and cognitive technology expand beyond the manufacturing world and into the office space of knowledge workers, the terminology that company leaders must know increases.
The Robotic Process Automation (RPA) industry uses many terms that are used in more traditional, physical robotics applications—think robots that help in assembly lines and manufacture other goods—these terms often don’t mean the same thing when transferred to the office setting.
This all-around guide will help you go from RPA newcomer to understanding the value vendors offer your organization as you navigate your RPA journey.
Software robots that mimic and integrate human actions within digital systems to optimize business processes. RPA automation captures data, run applications, trigger responses, and communicate with other systems to perform a variety of tasks.
Technology intended to respond to and learn from stimulation in a similar way to human responses with a level of understanding and judgement that's normally only found in human expertise.
Process mining is defined as solutions that leverage event logs that are generated by enterprise systems such as ERP, CRM, HCM, and SCM to rebuild a virtual view of the business process. It helps organizations discover the as-is state of business processes as well as identify new opportunities for optimization and automation. Discover how process mining and RPA go hand in hand in our blog.
Intelligent automation is to take Robotic Process Automation (RPA) and enhance it with AI, machine learning, and other technologies that allow for a more custom and intelligent design of the process automation that can be implemented across organizations.
Attended RPA includes scenarios where decision making and/or user input is required, such as desktop automation. These robots work at an employee's workstation and are triggered by two situations: a user's command and instances were robots need input from the user to continue a task.
The plan for how RPA will be rolled out in an organization. As part of this plan, organizations identify a list of processes that are the best candidates for automation. The design can be developed as a short or long term plan.
An era of technology where people think to apply RPA to as many processes as possible for enhanced productivity and embraces the vision having one Robot for each employee.
A system of technologies, practices, and applications that help companies collect, analyze, and present information related to business operations.
The practice of using modeling, automation, and data insights to optimize business activities, enterprise goals, and employee operations.
A department within a company created early on in the RPA journey to support the implementation and ongoing deployment of RPA. The CoE team uses RPA tools and technical expertise to identify and manage ongoing RPA implementations. The RPA Center of Excellence
Automation that goes beyond regular RPA that can work on semi-structured and structured data alike, leveraging cognitive capabilities.
A way of interacting with a software package by triggering actions with lines of text (command lines) directly to a program.
The cognitive technology that allows automation software to recognize and interact with information from images or multi-dimensional sources that can be used for Artificial Intelligence (AI), Machine Learning (ML), and pattern recognition.
A pattern-based processing method that is a type of Machine Learning (ML). Deep learning allows automation robots to mimic human tasks like identifying images on a screen, recognizing language, or predicting outcomes.
A system that allows organizations to manage operations like accounting, project management, and procurement through software packages that enables enterprises to gain insight through a single database of shared information.
An RPA scenario where an organization aims to automate and optimize the execution and rollout of RPA robots, not just the creation of them. This includes a strategy for how the robots are deployed in relation to human teams throughout the organization, supported by a flexible process flow.
The amount of work a full-time employee does in a department, on a certain project, or on a certain task.
A form of human-computer interaction that allows users to trigger program actions with windows, icons, and menus.
Working spaces where employees do not have fixed machines and they are free to use any machine in the working space. This situation applies in contact centers or other offices where people work in shifts. JOLT can help you implement a floating automation solution for scenarios like this.
Hyperautomation is the expansion of automation as we know it, going beyond the simple, repetitive task oriented automation to AI-based advanced automation which enables organizations to automate highly complex business processes from end-to-end with a robust toolset that compliments the standard capabilities of the RPA technology.
The application of advanced technologies like AI, Machine Learning (ML), Natural Language Processing (NLP), intelligent Object Character Recognition (OCR), and process mining augments workers and automates processes in ways that are much more impactful that traditional automation capabilities.
Learn more about hyperautomation in our Hyperautomation Hub
Processes that are unique to a specific industry, such as fraud claims discovery in banking, claims processing in insurance, or bills of material (BOM) generation in manufacturing. See how JOLT has implemented RPA in each one of these industries.
The process that allows software robots and AI to learn new processes through pattern recognition rather than needing to be individually and precisely programmed for each new situation.
A part of artificial intelligence, NLP allows computers to understand, interpret, and mimic human languages.
A generic Virtual Desktop Infrastructure that doesn't save shortcuts or file settings that the user makes, instead reverting back to a uniform desktop each time a user logs out.
Software that singles out letters and symbols in PDFs files, images, and paper documents that enables users to edit the content of the documents digitally.
A test of the automation that follows the initi al proof-of-concept phase to see if the robot will perform as expected in more advanced, complicated conditions.
A robotics department which specializes in rapid automation and high-quality, low-cost change management. Where a CoE supports early RPA implementation and roll-out, the ROC supports existing robots, automates new processes, manages RPA-related security, and performs compliance functions for more mature RPA models. It is a structured department with a defined budget and operational service-level agreements (SLAs).
A plan that comes after the automation design phase and provides companies with guidelines to meet their RPA goals. This includes a cost-benefit analysis of the processes selected for automation.
Security parameters that restrict employees to only have access to information that is required to do their unique jobs, preventing them from reading documents or sensitive materials that are not relevant to their day-to-day work.
The combined processes that have been automated in a company, usually within a singular department.
Allows a company to schedule, manage, and monitor all robots in one secure place. An Orchestrator lets companies deploy and scale their RPA solutions as well as audit and monitor both robots' and users' activities.
A model for how RPA will be designed and rolled out. This model often involves process architects, technology experts/advisors, and ongoing maintenance and support staff. The model changes slightly based on company and industry to best suit their automation goals.
Copying data from one application to another using a computer program.
Software robots are robots that interact with applications and systems through a graphical user interface (GUI) or command-line interface (CLI) to carry out routine tasks.
An architecture where single instance of software application can be used by multiple teams/departments. The UiPath Platform offers multi-tenancy so that a tenant can be formed for each department within an organization. Multi-tenancy facilitates convenient scaling and collaboration while maintaining privacy.
Software robots that need little—or no—human intervention to carry out actions on a 24/7/365 basis when triggered. These robots complete work continuously in a batch-mode model that allows for around the clock automation. These robots can be accessed remotely by different interfaces and platforms, and administrators can view, analyze, and deploy scheduling, reporting, auditing, monitoring, and modification functions in real-time from a centralized hub.
Information that isn’t organized in a defined way and is often filled with text, dates, and numbers in an unorganized system.
Using RPA technology to automate steps in manual or routine business tasks to improve day-to-day practices, make employees more efficient, and allow humans to focus on higher return work.
The system created by automation software and programs that manage an organization’s processes from within a company’s existing IT setup. This environment is controlled by the company and creates a central software hub for administrators and users.
Get an in-depth end-to-end view of the hyperautomation journey, what intelligent automation is, and how to start your journey today.