Automation 101 Topics

The autonomous enterprise is a business that can operate, adapt, and optimize workflows on its own, with minimal human intervention.

Agentic Process Automation (APA) uses AI agents to create responsive workflows and optimize processes that are capable of completing tasks independently.

Agentic process management automates complex business workflows by integrating AI agents into self-sustaining processes.

Agentic AI applies reasoning and iterative planning to solve complex, multifaceted problems utilizing several AI technologies.

Agentic systems are artificial intelligence (AI) networks with strong automation capabilities to perform independent action toward defined goals.

Intelligent Automation combines the task execution of RPA with AI and ML to support the full complexity of process automation from discovery to automation optimization.

AI agents are intelligent, self-sufficient assistants that execute defined tasks involving cognitive processes.

Agentic workflows harness AI agents to execute complex, cognitive tasks like decision-making with a high degree of autonomy.

By integrating artificial intelligence (AI) with automated systems, enterprise organizations can transform processes to achieve efficiency and effectiveness.

Business process automation hinges on having the right information. IDP turns unstructured data into process-ready information.

Process intelligence applies AI technologies to continuously capture and analyze digital processes enterprise-wide, shortening the runway to automation and transformation.

RPA means software robots equipped with the same digital skillset as people-everything from logging in to copy-paste to correcting missing data details.

Process Discovery fills in the blanks between users and workflows to reveal exactly what each process entails, paving the way for rapid automation.

Data extraction is a means of fetching relevant data from different sources, which, when refined further, empowers users to simplify operations and gain actionable insights for performing better.

Hyperautomation is connected automation-across applications, unstructured data-able to analyze, decide, and discover processes and new opportunities.

Business Process Management (BPM) is both the technology and practice of optimizing enterprise processes and workflows to be more efficient and adaptable.

Process mining is the deep analysis of system event logs to identify and monitor problem areas within processes to provide insight for process optimization.

Find out when to apply independent, unattended, RPA, and when to use attended automation for human-bot collaboration across back- and front-offices.

No-code is a type of user interface (UI) allowing users to "code" by point-and-click. No-code automation enables business users with self-service automation building blocks.

Cloud-native, web-based, intelligent RPA is perfect for scaling automation and enabling employees to automate on their own.

Automation software turns repeatable tasks into automated processes. The goal? Efficiency and cost savings-and freeing people to add value.

Robotic desktop automation is localized process automation, run and attended by a user at all times, it assists with executing tasks so the user can focus on other work.

OCR is a form of automated data extraction, which converts content into digital information that can be read by a machine, indexed, and used for processes.

Process orchestration ensures streamlined and synchronized execution of automated tasks, achieving peak efficiency and effectiveness in connected workflows.