AI Agent
An AI agent is a software system that autonomously performs multi-step tasks by perceiving its environment, making decisions, and taking actions to achieve a specific goal, with minimal human intervention.
Read full explanationAI Glossary
AI Glossary for Business Leaders
Every AI term that matters for your business, explained in plain language. No jargon, no hype. Just clear definitions, real examples, and practical context for business owners evaluating autonomous AI agents.
Agentic AI
Agentic AI refers to artificial intelligence systems that can plan, reason, and execute multi-step tasks autonomously, operating through continuous perception-reasoning-action loops without requiring step-by-step human instructions.
Read full explanationMulti-Agent System
A multi-agent system (MAS) is an AI architecture where multiple specialized agents work together, each handling a specific function (sales, operations, finance), to accomplish goals that no single agent could achieve alone.
Read full explanationAI Orchestration
AI orchestration is the coordination and management of multiple AI models, agents, data sources, and tools so they work together as a unified system to accomplish business objectives.
Read full explanationRAG (Retrieval-Augmented Generation)
RAG is a technique that gives AI models access to your company's specific data (documents, policies, knowledge bases) before generating a response, so the AI's answers are grounded in your actual business information rather than generic training data.
Read full explanationModel Context Protocol (MCP)
The Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal way for AI models to connect to external tools, databases, and business systems, functioning like a USB port for AI integrations.
Read full explanationAI Readiness Assessment
An AI readiness assessment is a structured evaluation of a business's data, processes, infrastructure, and team capacity to determine where AI can deliver the highest return and what needs to be in place before deploying it.
Read full explanationAI Business Engine
An AI business engine is a coordinated system of multiple specialized AI agents that collectively run core business functions (revenue, marketing, operations, growth) autonomously, operating as a unified team rather than isolated tools.
Read full explanationPrompt Engineering
Prompt engineering is the practice of designing and refining the instructions given to AI models to produce accurate, relevant, and useful outputs for specific tasks.
Read full explanationAI Workflow
An AI workflow is a structured sequence of tasks performed by AI agents across multiple systems, where each step can involve reasoning, decision-making, and actions that adapt based on the data encountered.
Read full explanationRobotic Process Automation (RPA)
RPA uses software bots to mimic human actions on a computer (clicking, typing, copying data between systems) to automate repetitive, rule-based tasks that follow predictable patterns.
Read full explanationAI Hallucination
An AI hallucination occurs when an AI model generates information that sounds confident and plausible but is factually incorrect, fabricated, or not supported by any source data.
Read full explanationNot sure where AI fits in your business?
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