AI & automation glossary
Understand the terms. Ask better questions.
RAG, API, AI agent, ERP… Explore definitions, examples and connections between concepts to discuss projects more clearly with your team and partners.
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31 concepts
Applied AI
Agentic AI
AI designed to plan, use tools, and take sequenced actions toward an assigned goal.
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AI Agent
An AI system that can reason through a task and use approved tools to complete parts of it.
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AI Automation
Automation of steps that require interpretation, judgment, or unstructured input.
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AI Evaluation
Measuring whether an AI system produces acceptable results on cases that reflect reality.
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AI Guardrails
Controls that constrain what an AI system is allowed to say, do, and access.
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AI Orchestration
The layer that coordinates models, tools, data, and human steps into one dependable process.
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AI Readiness
Whether a business has the data access, process clarity, and ownership for AI to produce a result.
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API
A defined way for one software system to request data or actions from another.
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Applied AI
AI used to improve a specific business decision, workflow, or customer experience.
Read the definitionAutomation
Automation Priority
A way of ranking candidate processes so the first automation is the one that pays back fastest.
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Bottleneck
The step that limits how much work the whole process can complete.
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Business Process Management (BPM)
The ongoing discipline of designing, running, measuring, and improving how work gets done.
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Computer Vision
AI that extracts meaning from images, video, and scanned documents.
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CRM
A system that records every interaction with customers and prospects in one shared place.
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Embeddings
Numerical representations of text or images that let a computer compare meaning rather than words.
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ERP
A single system managing the core operational records of a business: finance, inventory, orders, and supply.
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Generative AI
AI that creates new text, images, code, audio, or structured content from a prompt.
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Human-in-the-Loop
A design where a person reviews, approves, or corrects the system at defined points.
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Intelligent Automation
Combining deterministic workflows with AI so a process can handle both routine cases and variation.
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iPaaS
A hosted platform for building and running integrations between business systems.
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Large Language Model (LLM)
A model trained to understand and generate natural-language content.
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Middleware
Software that sits between systems and handles the translation, routing, and reliability between them.
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Model Context Protocol (MCP)
An open standard for connecting AI systems to tools and data sources in a consistent way.
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Operational Excellence
Consistently delivering the intended result, at predictable cost, without depending on heroics.
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Process Mapping
Documenting how work actually moves through a business, step by step.
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Process Mining
Reconstructing how a process really runs by analysing the event logs your systems already produce.
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Retrieval-Augmented Generation (RAG)
A method that retrieves your own documents and gives them to a model before it answers.
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Robotic Process Automation (RPA)
Software that operates existing applications through their interface, the way a person would.
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Systems Integration
Connecting separate business systems so information moves between them reliably.
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Vector Database
A database built to find the items whose meaning is closest to a query.
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Workflow Automation
Software that runs a defined sequence of steps across systems without manual effort.
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