AS THE TERMINOLOGY RELATED TO DIGITAL TRANSFORMATION INCREASES IN BOTH COMPLEXITY AND QUANTITY, UNDERSTANDING THE KEY TERMS IS CRITICAL TO ACCELERATING YOUR INTELLIGENT AUTOMATION JOURNEY.
This handy guide will take you from automation newcomer to automation maestro in just a few minutes. Enabling you to harness the exponential power of Intelligent Automation and succeed at speed.
Software robots that mimic and integrate human actions within digital systems to optimize business processes. RPA captures data, runs applications, triggers responses, and communicates 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 judgment that’s normally only found in human expertise.
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 RPA technology.
The application of advanced technologies like AI, 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 Intelligent Automation capabilities.
Process mining is defined as solutions that leverage event logs that are generated by enterprise systems such as ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), HCM (Human Capital Management), and SCM (Supply Chain Management) 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.
Intelligent Automation is a combination of RPA, AI, machine learning, and other technologies that allow for a more custom and intelligent design of 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 and other automation technologies 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 and other automation technologies to as many processes as possible for enhanced productivity and efficiency. Our partner UiPath describes it as “working backward from desired business outcomes to construct the hybrid workforce to get you there. This gives companies the freedom to use software robots or humans wherever they fit best.”
A model for how Intelligent Automation 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.
A structured plan that includes an organization’s strategic goals, key criteria for success and guidelines to meet their digital transformation goals. This includes a cost-benefit analysis of the processes selected for automation.
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.
An internal team which supports the implementation and ongoing deployment of Intelligent Automation solutions. The CoE team uses automation tools and technical expertise to identify and manage ongoing implementations.
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 AI, Machine Learning (ML), and pattern recognition.
A pattern-based processing method that is a type of ML. Deep learning allows Intelligent Automation robots to mimic human tasks like identifying images on a screen, recognizing language, or predicting outcomes.
The implementation of new technologies into an organization’s products, processes, and strategies.
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 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 is a common situation for office environments where people have more flexible/hybrid work styles.
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.
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.
Allows a company to schedule, manage, and monitor all robots in one secure place. An Orchestrator lets companies deploy and scale their automation solutions as well as audit and monitor both robot and user activities.
A test of the Intelligent Automation solution that follows the initial proof-of-concept (POC) phase to see if the robot will perform as expected in more advanced, complicated conditions.
A test run of the Intelligent Automation solution to discover its limitations and help ensure that the robot will work as intended.
A robotics department that 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).
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.
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 a single instance of software application can be used by multiple teams/departments. Some automation platforms offer 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 and other Intelligent Automation 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 Intelligent 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.
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