AI Automation
Glossary

Coordinating multiple specialized AI agents and tools — Voice, SMS, CRM writes, calendar lookups — so a single customer interaction flows cleanly across steps. XUNA orchestrates agents behind the scenes so the customer only ever sees one conversation.

A chat interface backed by a language model that answers questions, captures leads, and routes conversations on a website or in a messaging app. Unlike rule-based bots, AI chatbots understand intent and context, so customers don't have to phrase questions in a specific way.

A software agent that answers and places phone calls in natural language, using speech recognition, an LLM, and text-to-speech to hold real conversations. XUNA's voice agents qualify leads, book appointments, and follow up with customers 24/7 without adding headcount.

A contract that lets one piece of software call another — for instance, your CRM calling XUNA to start a follow-up call. APIs are the plumbing that lets modern stacks act as one system instead of a pile of silos.

An automated front door that answers every incoming call, greets the caller, and gets them to the right place. Modern auto-attendants are AI-powered, so callers describe what they need in natural language instead of punching numbers.

The share of inbound inquiries that turn into a confirmed appointment. Booking rate is the single clearest metric for whether your AI front door is actually converting — it connects inbound volume directly to revenue.

Dashboards and metrics derived from call transcripts and metadata — talk time, sentiment, keywords, outcomes, conversion rates. Call analytics turn every conversation into training data and a coaching opportunity.

Sending an incoming call to the right person, queue, or AI agent based on rules like caller ID, time of day, language, or stated intent. Good routing means fewer transfers and shorter wait times.

Converting a recorded or live call into searchable text. Transcripts power analytics, coaching, CRM auto-logging, and compliance review — and are the raw material for sentiment and intent scoring.

The small chat bubble that sits on a website and opens into a conversation. A modern chat widget is backed by an AI agent that answers instantly and hands off to a human only when the question actually requires one.

How many phone conversations an AI system can hold at the exact same moment. Because an AI agent doesn't queue — it just answers — concurrent call capacity is what lets a single deployment replace an entire call center.

Automatically filling in missing fields on a contact — company, role, size, socials — by looking up third-party data sources. Enriched records make segmentation and personalization dramatically more effective.

The broad category of AI systems that carry on multi-turn dialogue with people across Voice, SMS, Chat, and social channels. Conversational AI combines NLP, dialog management, and knowledge retrieval so responses stay on-topic and grounded in business data.

SMS that feels like a real chat — short, contextual, and responsive — rather than a one-way blast. AI-powered conversational SMS can qualify leads, reschedule appointments, and escalate only the messages that need a human.

The system of record for contacts, deals, conversations, and pipeline stage. A CRM is the spine of any sales or service operation — XUNA writes every AI interaction straight into the CRM so nothing falls through the cracks.

A CRM tuned for automotive — inventory, trade-in estimates, service appointments, and BDC follow-up all in one place. XUNA integrates with the common dealership systems so AI Voice and SMS work on top of what's already there.

A sequence of pre-scheduled messages (email, SMS, or both) sent to a contact over days or weeks. Well-tuned drip campaigns nurture cold leads into booked appointments without any manual effort after setup.

A workflow that reaches shoppers who left items in their cart — via SMS, email, or Voice — with a personalized nudge or offer. Recovery campaigns are one of the highest-ROI automations in commerce when timed correctly.

Rules that schedule and send the right follow-up — text, email, or call — after every customer interaction, without a human remembering to queue it. Follow-up automation is the cheapest way to lift close rates on leads you've already paid for.

The European Union's General Data Protection Regulation, which gives individuals rights over their personal data and requires a lawful basis to process it. GDPR affects how marketing outreach, recording, and profiling can operate on EU contacts.

An all-in-one CRM and marketing platform popular with agencies and SMBs. XUNA integrates natively with GoHighLevel so AI Voice and SMS flow straight into the pipelines and workflows teams already run inside GHL.

Collecting demographics, insurance, history, and reason-for-visit before a patient arrives. AI intake runs over Voice or SMS in a HIPAA-aligned flow, so front desks walk in to finished paperwork instead of scrambling for it.

The U.S. Health Insurance Portability and Accountability Act, which governs how protected health information must be stored, transmitted, and accessed. HIPAA-aligned workflows are non-negotiable for any AI that touches patient data.

An AI agent that handles reservations, upsells, guest requests, and FAQs for hotels and restaurants. Guests get instant answers in any language, and staff stay focused on the experience instead of the phones.

A native messaging channel on Apple devices that lets businesses send rich, branded messages with read receipts and higher deliverability than SMS. XUNA supports iMessage alongside SMS so customers talk to you on whichever channel they prefer.

Answering and resolving calls that customers place to the business. An AI agent can pick up on the first ring 24/7, capture details, book appointments, and escalate to a human only when it genuinely needs to.

Taking quote requests via phone, web, or SMS and turning them into complete, qualified leads in the CRM. Speed-to-lead matters here more than almost any industry — AI answering in under a ring can meaningfully change close rates.

The task of identifying what a user is trying to accomplish from what they say — for example, "book a demo" vs. "cancel my appointment." Accurate intent recognition is what lets an AI agent pick the right next action instead of guessing.

A phone menu system that lets callers navigate with voice or keypad input. Modern AI-powered IVRs replace rigid "press 1 for sales" trees with natural conversation that identifies the caller's need in a single turn.

A structured repository of product docs, policies, FAQs, and scripts that an AI agent reads from when answering questions. A well-maintained knowledge base is the difference between an AI that sounds confident and one that's actually correct.

A measurable value that tracks how well a team, agent, or workflow is performing against a goal. For AI operations the core KPIs tend to be booking rate, resolution rate, response time, and customer satisfaction.

A neural network trained on huge volumes of text that can generate language, summarize, classify, and reason. LLMs are the core engine behind modern AI agents — XUNA uses them to understand caller intent and produce natural replies.

The lag between a caller finishing a sentence and the AI starting to respond. Sub-second latency is the difference between a conversation that feels human and one that feels like a machine — it's the hardest metric in voice AI.

The process of determining whether a new lead is a good fit and ready to buy. AI agents qualify leads in natural conversation the moment they come in, filling out CRM fields and booking real opportunities automatically.

Assigning a numeric score to each lead based on fit (title, industry, size) and intent (pages visited, questions asked). Lead scoring helps sales teams focus their time on the contacts most likely to close.

The moment an AI chatbot passes a conversation to a human teammate, along with full context of what was already discussed. A good handoff feels seamless to the customer — they don't have to repeat themselves.

A visual automation platform for building multi-step, branching workflows between apps. Make's router and filter logic is ideal for complex business processes that Zapier's linear flow doesn't quite fit.

AI that answers inquiries, qualifies treatments, and books consultations around the clock — the moment a prospect reaches out. For med spas, every missed call after hours is a missed consult; automation closes that gap.

Automatically following up via SMS or callback the instant a business misses an inbound call. It's one of the highest-leverage automations there is — most of the leads that slip through gaps are the ones that never call twice.

A messaging standard that supports images, video, and audio in addition to text. MMS is useful for sending photos of a vehicle, room, or product estimate directly in the conversation the customer started.

An AI agent's ability to detect a caller's language and converse fluently in it — often switching mid-call without a handoff. For businesses with diverse customer bases, multilingual support is a direct lever on conversion and satisfaction.

A direct, purpose-built connection between two platforms — deeper and more reliable than a generic middleware bridge. XUNA maintains native integrations with the CRMs, calendars, and messaging tools its customers rely on most.

A field of AI focused on making computers understand and produce human language. NLP techniques like tokenization, intent classification, and entity extraction power features such as call transcription, sentiment scoring, and smart routing.

A unified approach where Voice, SMS, Chat, and email all share the same context about a customer. In an omnichannel setup, a caller who texted yesterday doesn't have to start over when they call today.

The permission lifecycle for contacting a person — opt-in captures explicit consent before the first message, opt-out honors their request to stop. Clean opt-in/opt-out handling is both a legal requirement and a trust signal.

Calls placed from the business to a contact — typically for follow-up, lead qualification, win-back, or appointment reminders. AI outbound agents can make thousands of personalized calls simultaneously while staying compliant with local dialing rules.

Moving deals between stages and triggering actions (tasks, messages, follow-ups) based on rules instead of manual work. Pipeline automation keeps the CRM honest — stages stay accurate because the system is updating them.

The practice of designing the instructions, examples, and context an LLM receives so it produces reliable, on-brand output. For business agents this means encoding tone, compliance rules, and allowed actions into the prompt.

Keeping records consistent across platforms the instant they change, instead of in nightly batches. With real-time sync, an AI agent that books an appointment by phone updates the CRM, calendar, and inbox simultaneously.

A technique that pulls relevant documents from a knowledge base at query time and feeds them to the LLM so answers are grounded in real business data instead of hallucinated. RAG is how an AI agent can accurately quote your pricing, hours, or policies.

A pre-recorded message dropped directly into a contact's voicemail inbox without ringing their phone. It's a non-intrusive way to reach large lists with personalized outreach while respecting the contact's time.

An NLP technique that scores a message or call as positive, neutral, or negative. On a dashboard, sentiment trends help teams spot unhappy customers early and measure agent quality at scale.

Sending and responding to text messages programmatically based on triggers like new leads, missed calls, or pipeline stages. SMS automation catches customers on the channel they actually read, usually within minutes.

Technology that converts spoken audio into written text, usually in near-real-time. STT is the first step in any voice AI pipeline — the caller speaks, STT produces text, and the LLM takes it from there.

The Telephone Consumer Protection Act sets rules in the U.S. for automated calls and texts — consent requirements, quiet hours, and opt-out handling. Every XUNA outreach workflow is designed to honor these rules by default.

Technology that turns written text into spoken audio. Modern neural TTS is near-indistinguishable from a human voice and is what lets an AI agent speak back to callers in real time.

A cloud communications platform that provides programmable voice and SMS infrastructure at global scale. Twilio is one of the telephony backbones modern AI voice products sit on top of.

An SMS channel where contacts can reply and the business responds in real time — either via an AI agent or a human. Two-way SMS turns texting from broadcast into actual conversation, which is where conversions happen.

Creating a synthetic voice that matches a specific person's tone, cadence, and accent from a short audio sample. Businesses use voice cloning to keep brand consistency across automated calls while still sounding human.

Phone service delivered over the internet instead of legacy copper or cellular networks. VoIP is what lets AI voice infrastructure scale elastically — there's no physical line to install for the 10,001st simultaneous call.

A lightweight HTTP callback that fires when something happens in another system — for example, a booking is created or a call ends. Webhooks are how platforms tell each other about events in real time without constant polling.

A version of a product that agencies and resellers can rebrand and sell as their own. XUNA's white-label lets partners deliver AI Voice, SMS, and CRM automation under their own brand, with their own pricing.

Chaining multiple steps and systems into a single automated sequence — for example: call answered → lead qualified → CRM updated → SMS confirmation sent. Workflow automation is where individual AI features compound into real operational leverage.

An integration platform that connects thousands of apps through trigger-and-action workflows, no code required. Zapier is a fast way to wire XUNA into tools that don't yet have a direct native integration.

Information a customer intentionally shares with a business — preferences, intent, context they volunteer in conversation. It's the cleanest, most actionable data you can collect, and AI conversations capture a lot of it by default.