The use of technology to perform tasks with reduced human intervention, aiming to improve efficiency, accuracy, and consistency across business processes.

A form of automation technology that uses software robots or 'bots' to mimic human actions for rule-based, repetitive tasks in digital systems such as entering data or processing transactions.

Automation tools installed on individual user desktops that execute tasks within a specific workstation environment, often tailored to personal workflows or department-level needs.

A strategic approach to automation that spans departments and functions across an organization, typically involving scalable platforms that integrate with enterprise systems like ERP or CRM.

A design pattern where human judgment is embedded in automated workflows to oversee, approve, or intervene in processes, ensuring accountability, accuracy, and ethical decision-making.

An AI- or rule-based software agent capable of performing end-to-end tasks traditionally done by humans, often across multiple systems or applications.

A data-driven technique used to analyze and visualize business processes based on event logs, helping organizations identify inefficiencies and automation opportunities.

Development platforms that allow users to build applications or automations with minimal or no programming, enabling business users to create solutions without relying solely on IT.

The integration of artificial intelligence (e.g., natural language processing, machine learning) with traditional automation to enable decision-making, adaptability, and improved process performance.

The governance and oversight of RPA bots across their lifecycle, including development, testing, deployment, monitoring, and retirement, ensuring operational stability and compliance.

The broad field of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.

A subset of artificial intelligence that focuses on systems capable of generating new content—such as text, images, audio, or code—by learning patterns from training data and producing original outputs.

AI systems designed to operate with a degree of autonomy, persistence, and goal-orientation, often executing sequences of actions independently and adapting to changes in their environment or instructions.

An advanced form of AI capable of performing tasks and making decisions entirely without human intervention, including the ability to initiate, monitor, and complete actions in dynamic or uncertain environments.

A core business process that encompasses all activities from receiving a customer order to collecting payment. It typically includes order management, inventory tracking, invoicing, shipping, and payment processing.

Documentation or data extracted from a client's system that is provided to auditors or external stakeholders. PBC files should be accurate, complete, and traceable to system-of-record sources for audit purposes.

The practice of attaching structured information to data or process events to provide context, support traceability, and enable process mining or automated reporting. Metadata may include fields like process step, timestamp, status, or user.

A technique that uses system-generated logs to reconstruct and analyze actual process flows within an organization, identifying bottlenecks, deviations, and optimization opportunities.

A reporting interface that provides visibility into automated processes, displaying key metrics such as process execution status, errors, user activity, and compliance with controls.

A chronological record of system activities, changes, and transactions that provides a traceable path for auditing purposes. Audit trails are essential for compliance, accountability, and forensic analysis.

The process of managing errors or unexpected events in automated workflows, ensuring that the system can recover gracefully or alert users to take corrective action.

Technologies and practices for collecting, analyzing, and presenting business data to support decision-making. BI tools often include dashboards, reporting systems, and data visualization capabilities.