AI and automation terms, plain English
The terms a business owner needs before hiring an AI consultant, evaluating a proposal, or deciding what to build first, defined in plain English.
A
AI agent
A software program that takes actions on its own, like browsing the web, filling forms, sending emails, and updating records, based on a goal or set of instructions. A simple chatbot only responds to messages, while an AI agent can chain several steps together without a person guiding each one. Most practical business automations combine agents with workflow tools like Make or n8n.
AI consultant
An outside operator who assesses a business's workflows, recommends which AI tools and automations fit, and, in the do-it-yourself model, hands over the findings for the business's own team to implement. An AI agency usually builds and manages the automation itself, and a fractional CAIO stays on as ongoing embedded leadership. Applied Agency AI works as an AI consultant through its $297 AI Readiness Audit, then moves into a build sprint or fractional CAIO retainer if the business wants the work done for them.
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 fixed-price engagement ($297) that ends in a written report within 48 hours of the interview. The report covers 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. For example, a workflow can monitor a customer portal, extract new order data with AI, classify its urgency, and route the order to the right team member, with nobody 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. They use a visual, drag-and-drop interface to build multi-step workflows. For example, when a form is submitted, the workflow creates a CRM record, sends a Slack notification, and drafts a personalized follow-up email. They range from no-code (Zapier) to low-code and developer-friendly (n8n).
B
Build sprint
A time-boxed implementation engagement, usually two to four weeks, focused on shipping a specific automation or set of automations. Across the market, a sprint of this kind runs from a few thousand dollars to the mid five figures, depending on how many systems it touches. At Applied Agency AI, the AI Implementation Sprint is scoped and quoted after an AI Readiness Audit establishes 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, usually through a chat window on a website or messaging platform. Basic chatbots follow decision trees. AI chatbots use large language models and can answer open-ended questions, qualify leads, book appointments, and hand off to a person when needed. The term gets used loosely. When in doubt, ask whether it can take actions (which makes it an agent) or only respond (which 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 like PDFs, contracts, invoices, purchase orders, and forms to extract, classify, summarize, or route information. Instead of an employee reading a 40-page contract to find the payment terms, an AI model extracts the relevant clauses in seconds. Common uses include invoice processing, contract review, PPAP documentation, and insurance claim intake.
F
Fractional CAIO
A Chief AI Officer engaged part-time, usually on a monthly retainer, to set AI strategy, oversee automation implementations, and train internal teams. The fractional model gives mid-market businesses senior AI leadership without the $250,000-plus cost of a full-time executive hire. Market retainers run roughly $2,500 to $15,000 a month depending on scope. At Applied Agency AI, the fCAIO retainer is scoped after an AI Readiness Audit, and quoted before any work starts.
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 lets them 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 integration projects at heart, connecting the tools a business already uses so data moves without a person copying it.
L
Large language model (LLM)
The type of AI model behind tools like ChatGPT, Claude, and Gemini. LLMs are trained on large text datasets and can generate, summarize, and classify text and reason through problems written in text. In business automation, an LLM is usually one component inside a larger workflow. For example, an LLM reads an inbound email, pulls out the 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 someone to check the inbox. Speed matters here. The 2007 Lead Response Management study from MIT and InsideSales.com found that companies contacting a web lead within five minutes were 21 times more likely to qualify it than companies that waited 30 minutes. 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 let non-developers build software and automations through visual interfaces, with no programming. Low-code tools need a little code, usually for edge cases or advanced logic. SMB automation projects often use a mix: no-code platforms (Zapier, Notion, Airtable) for straightforward workflows, low-code platforms (n8n, Make) for more complex logic, and custom code where precise control is needed.
O
OCR (Optical Character Recognition)
Technology that converts images of text, such as scanned documents, photos of invoices, and PDFs without selectable text, into machine-readable text other systems can process. 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 writing instructions that get an AI model to produce the output you want, reliably. A good prompt specifies the task, the output format, the relevant context, and the constraints the model should follow. In business automation, the prompt often decides whether an AI step can run unattended or needs someone checking its work, which makes it a core skill in building reliable AI workflows.
R
RAG (Retrieval-Augmented Generation)
A technique that improves AI accuracy by giving the model specific, up-to-date documents or data before it responds. Instead of relying only on what the model learned in training, RAG retrieves relevant information from your own sources, such as a knowledge base, a product catalog, or a policy document, and includes it in the prompt. This cuts down on hallucination and keeps AI output grounded in your business.
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, or a database update can each be a trigger. Well-designed automations use clear, specific triggers so they run when they should and at no other time. Most automation platforms support dozens of built-in 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 open matters. 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, a voice agent can capture after-hours leads and take load off the customer service team.
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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