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Automathing glossary

The practical language of AI, automation, and operations.

Clear definitions for leaders building systems that create measurable business outcomes. No hype. No detached theory.

Explore by operating layer

Applied AI

Capabilities that help teams reason, create, and act.

AI Engineering

The practices that make AI systems dependable in production.

Automation

Workflows that remove repeated operational effort.

Business Operations

Ways to understand, improve, and scale how work moves.

Systems & Integration

The connections that let business systems work as one.

31 concepts

01

Applied AI

Applied AI

AI used to improve a specific business decision, workflow, or customer experience.

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02

Applied AI

Generative AI

AI that creates new text, images, code, audio, or structured content from a prompt.

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03

Applied AI

AI Agent

An AI system that can reason through a task and use approved tools to complete parts of it.

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04

Applied AI

Agentic AI

AI designed to plan, use tools, and take sequenced actions toward an assigned goal.

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05

Applied AI

Large Language Model (LLM)

A model trained to understand and generate natural-language content.

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06

Applied AI

Retrieval-Augmented Generation (RAG)

A pattern that gives an AI model relevant external information before it answers.

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07

Applied AI

Computer Vision

AI that extracts meaning from images, video, and visual documents.

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08

AI Engineering

AI Orchestration

The coordination of AI prompts, tools, data, steps, and human approvals into one reliable flow.

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09

AI Engineering

AI Evaluation

A repeatable way to measure whether an AI system is accurate, useful, safe, and consistent enough.

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10

AI Engineering

AI Guardrails

Rules, checks, and limits that keep AI behavior within safe and useful boundaries.

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11

AI Engineering

Embeddings

Numeric representations that let software compare the meaning of text, images, or other content.

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12

AI Engineering

Vector Database

A database optimized to store and search embeddings by similarity.

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13

AI Engineering

Model Context Protocol (MCP)

A standard way for AI applications to discover and use tools and data sources.

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14

Automation

Workflow Automation

Software that moves work, information, and approvals through a repeatable process.

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15

Automation

Robotic Process Automation (RPA)

Software bots that imitate repetitive actions a person performs in existing interfaces.

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16

Automation

Intelligent Automation

Automation that combines rules-based workflows with AI for language, documents, or decisions.

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17

Automation

AI Automation

Automation that uses AI to interpret, generate, classify, or decide within a workflow.

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18

Automation

Human in the Loop

A design where a person reviews, approves, corrects, or handles exceptions in an automated system.

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19

Automation

Automation Priority

A way to rank processes by expected value, feasibility, and risk before investing in automation.

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20

Business Operations

Process Mapping

A visual view of how work, decisions, people, and systems move from start to finish.

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21

Business Operations

Process Mining

The use of system event data to see how a process actually happens over time.

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22

Business Operations

Business Process Management (BPM)

A discipline for designing, operating, measuring, and improving recurring business processes.

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23

Business Operations

Bottleneck

The constraint that limits how quickly or reliably a process can deliver its outcome.

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24

Business Operations

Operational Excellence

The ongoing ability to deliver valuable work reliably, efficiently, and with room to improve.

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25

Business Operations

AI Readiness

The degree to which an organization has the conditions to use AI responsibly and productively.

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26

Systems & Integration

API

A defined interface that lets one software system request data or actions from another.

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27

Systems & Integration

Systems Integration

The design of connections that let separate business systems share data and coordinate work.

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28

Systems & Integration

Enterprise Resource Planning (ERP)

A core system for managing business resources such as finance, inventory, purchasing, and operations.

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29

Systems & Integration

Customer Relationship Management (CRM)

A system for managing customer, prospect, sales, and service relationships.

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30

Systems & Integration

Middleware

Software that sits between systems to translate, route, secure, or coordinate their communication.

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31

Systems & Integration

Integration Platform as a Service (iPaaS)

A cloud platform for building, operating, and monitoring integrations between applications.

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The Automathing framework

Capability only matters when it becomes an outcome.

We connect the path from new technical capability to a useful operating result.

01

AI research

Creates new capabilities.

02

AI engineering

Makes them reliable systems.

03

Applied AI

Puts them to work on real problems.

04

Business outcome

Revenue, cost, time, quality, and risk.

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