AI Glossary

AI and automation terms, plain English

Every term a business owner needs to know before hiring an AI consultant, evaluating a proposal, or deciding what to build first — without the jargon.

A

AI agent

A software program that can take actions autonomously — browsing the web, filling forms, sending emails, updating records — based on a goal or set of instructions. Unlike a simple chatbot that only responds to messages, an AI agent can chain multiple steps together without a human guiding each one. Most practical business automations combine agents with workflow tools like Make or n8n.

AI Readiness Audit

A structured assessment of a business's operations to identify where AI automation will produce the highest return on investment. At Applied Agency AI, the audit is a one-week, fixed-price engagement ($297) that results in a written report covering your top automation opportunities, specific tool recommendations, implementation steps, and a realistic ROI estimate.

AI workflow

A sequence of automated steps that use AI at one or more points to process information, make decisions, or generate output. Example: a workflow that monitors a customer portal, extracts new order data with AI, classifies urgency, and routes the order to the right team member — with no human touching it until it lands in the right inbox.

API (Application Programming Interface)

A structured way for two software systems to talk to each other. When your CRM sends new leads to your email platform automatically, that connection runs over an API. Most modern business software has an API, which means it can be wired into an automation without needing a human to copy-paste data between systems.

Automation platform

Software that connects other apps and automates workflows between them. Make (formerly Integromat), n8n, and Zapier are the most common. These platforms use a visual, drag-and-drop interface to build multi-step workflows — for example: when a form is submitted, create a CRM record, send a Slack notification, and draft a personalized follow-up email. They range from no-code (Zapier) to low-code/developer-friendly (n8n).

B

Build sprint

A time-boxed implementation engagement — typically two to four weeks — focused on shipping a specific automation or set of automations. At Applied Agency AI, build sprints start at $20,000 and are scoped after an AI Readiness Audit establishes exactly what to build. The output is a deployed, tested automation running in your environment.

C

Chatbot

A program that handles scripted or AI-powered conversations with users, typically via a chat interface on a website or messaging platform. Basic chatbots follow decision trees. Modern AI chatbots use large language models and can handle open-ended questions, qualify leads, book appointments, and escalate to a human when needed. The term is often used loosely — when in doubt, ask whether it can take actions (that makes it an agent) or only respond (that makes it a chatbot).

CRM automation

Using automation tools to reduce the manual work of maintaining a CRM (Customer Relationship Management) system. This includes auto-creating contact records from form submissions, logging emails and calls, updating deal stages based on activity, and triggering follow-up sequences when a prospect goes cold. The goal is a CRM that stays accurate without requiring your team to update it manually.

D

Document intelligence

AI-powered processing of documents — PDFs, contracts, invoices, purchase orders, forms — to extract, classify, summarize, or route information. Instead of an employee reading a 40-page contract to find payment terms, an AI model extracts the relevant clauses in seconds. Common use cases include invoice processing, contract review, PPAP documentation, and insurance claim intake.

F

Fractional CAIO

A Chief AI Officer engaged part-time — typically on a monthly retainer — to provide AI strategy, oversee automation implementations, and train internal teams. The fractional model gives mid-market businesses access to senior AI leadership without the $200K–$350K cost of a full-time executive hire. At Applied Agency AI, the fCAIO retainer starts at $4,500/month and is usually preceded by an AI Readiness Audit.

H

Hallucination

When an AI model generates output that sounds confident but is factually wrong or fabricated. This is a known limitation of large language models, especially for specific facts, dates, citations, and numerical data. Well-built business automations guard against hallucination by grounding AI outputs in retrieved data (see RAG) and building human review steps into workflows where accuracy is critical.

I

Integration

A connection between two software systems that allows them to share data or trigger actions in each other. Integrations can be native (built by the software vendor), API-based (custom-built), or platform-mediated (built through tools like Make or Zapier). Most business automation projects are fundamentally integration projects — connecting the tools a business already uses so data flows without human intervention.

L

Large language model (LLM)

The AI model type behind tools like ChatGPT, Claude, and Gemini. LLMs are trained on large text datasets and can generate, summarize, classify, and reason about text at a human level. In business automation, LLMs are typically used as a component inside a larger workflow — for example, an LLM reads an inbound email, extracts intent and key data, and hands off to an automation that routes the ticket.

Lead response automation

A workflow that acknowledges, qualifies, and books or routes inbound leads automatically — without waiting for a human to check their inbox. Speed-to-lead is one of the highest-ROI automation use cases for service businesses: research consistently shows that responding within five minutes vs. within an hour increases conversion rates by 8–10x. A well-built lead response agent can reply, qualify, and book a call within 60 seconds of a form submission, at any hour.

N

No-code / low-code

No-code tools allow non-developers to build software and automations using visual interfaces with no programming. Low-code tools require minimal coding — typically for edge cases or advanced logic. Most SMB automation projects use a mix: no-code platforms (Zapier, Notion, Airtable) for straightforward workflows, low-code platforms (n8n, Make) for more complex logic, and custom code for anything requiring precise control.

O

OCR (Optical Character Recognition)

Technology that converts images of text — scanned documents, photos of invoices, PDFs without selectable text — into machine-readable text that can be processed by other systems. OCR is often the first step in a document intelligence workflow: scan the document, extract the text, then use AI to classify and route it.

P

Prompt engineering

The practice of crafting instructions for an AI model to reliably produce the output you want. A well-engineered prompt specifies the task, the output format, the relevant context, and the constraints the model should respect. In business automation, prompt engineering is the difference between an AI step that works 95% of the time and one that works 60% of the time. It is a core skill in building reliable AI workflows.

R

RAG (Retrieval-Augmented Generation)

A technique that improves AI accuracy by giving the model access to specific, up-to-date documents or databases before it generates a response. Instead of relying solely on what the model learned during training, RAG retrieves relevant information from your own sources — a knowledge base, a product catalog, a policy document — and includes it in the prompt. This dramatically reduces hallucination and makes AI outputs relevant to your specific business context.

T

Trigger

The event that starts an automated workflow. A form submission, a new email in a specific inbox, a calendar event, a Slack message, a database row update — any of these can be a trigger. Well-designed automations have clear, specific triggers so they run exactly when needed and not otherwise. Most automation platforms support dozens of native trigger types, plus webhooks for anything custom.

V

Voice AI agent

An AI system that handles phone calls — answering inbound calls, qualifying callers, booking appointments, routing to the right department, or following up on outstanding matters. Modern voice agents use real-time speech-to-text, LLM reasoning, and text-to-speech to hold natural conversations. For home service businesses, HVAC companies, and other phone-heavy operations, voice agents can capture after-hours leads and reduce CSR workload significantly.

W

Webhook

A way for one application to notify another in real time when something happens. When a payment is completed, a webhook fires and tells your CRM to update the customer record. Webhooks are the most common way to trigger automations from events in external systems. Unlike polling (where your system repeatedly asks 'did anything happen?'), webhooks push the notification the moment the event occurs.

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