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KI-Telefonassistent AI glossary

KI-Telefonassistent: 100 AI terms explained clearly, with use fields, industries and decision guides, each with a direct service connection.

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A-Z

All terms

A

  • Agent orchestration Agent orchestration is the ordered interplay of several AI building blocks that each take on part of a task. For the AI phone assistant…
  • Agentic AI Agentic AI describes systems that break a goal into several steps and work through them on their own, rather than giving a single answer.…
  • AI adoption AI adoption describes how strongly an AI solution is actually used in daily work and delivers impact. It measures not the rollout but the…
  • AI agency An AI agency is a service provider that plans, builds and runs AI solutions rather than only recommending them. It scopes the use case,…
  • AI agent An AI agent is a system that does not just answer but performs tasks. It understands a goal, decides on steps and uses connected tools,…
  • AI answering machine An AI answering machine takes calls and holds a short conversation instead of only playing a recorded message. It asks for the request,…
  • AI assistant An AI assistant is a software system that understands spoken or written requests and then carries out tasks. On the phone that means:…
  • AI audit An AI audit is the structured review of an AI system for rule conformity, data protection, fairness and operational safety. It examines…
  • AI automation AI automation describes flows where a model does not only run fixed rules but interprets speech, text or documents and derives the next…
  • AI change management AI change management is the deliberate support of people and processes so a new AI solution actually gets used. It handles expectations,…
  • AI compliance AI compliance is meeting the rules that apply to the use of artificial intelligence, from laws and data protection to internal policies.…
  • AI consulting AI consulting is the structured clarification of where AI creates concrete value in a company and how the build should look. It ranks use…
  • AI governance AI governance is the set of rules, roles and controls with which an organisation steers its use of artificial intelligence. It defines who…
  • AI hackathon An AI hackathon is a short, focused format in which a team builds a working prototype in one to two days. Instead of long concepts,…
  • AI implementation AI implementation is the path from idea to reliable operation, that is selection, integration, testing and rollout of an AI system. For…
  • AI literacy AI literacy is the ability to judge AI realistically and use it well in one's own daily work. It links basic understanding with practical…
  • AI literacy obligation (Art. 4) The AI literacy obligation under Art. 4 EU AI Act requires that people who deploy or operate AI have a sufficient level of AI literacy. It…
  • AI monitoring AI monitoring is the ongoing supervision of an AI system in operation so errors and deviations surface early. For the AI phone assistant…
  • AI MVP An AI MVP is the smallest usable version of an AI system that already creates real value on real calls. Unlike a prototype it goes live,…
  • AI operation AI operation is the ongoing running of an AI system after launch so it stays reliable over time. For the AI phone assistant it means…
  • AI phone assistant An AI phone assistant is a voice system that holds calls rather than only playing announcements. Inbound it answers calls, understands the…
  • AI pilot An AI pilot is the limited first deployment of an AI system to check in real operation whether it holds what it promises. For the AI phone…
  • AI prototype An AI prototype is an early, deliberately unfinished version of an AI system that makes an idea tangible. The goal is learning, not…
  • AI readiness AI readiness describes how well a company is set up to actually use AI. It checks data, systems, processes and people for a clean start.…
  • AI risk classes AI risk classes are the categories into which the EU AI Act sorts AI systems by their risk, from minimal through limited to high, with…
  • AI roadmap An AI roadmap is a plan that puts use cases into a sensible order with milestones. It shows what gets built first, what builds on it and…
  • AI ROI AI ROI describes the ratio of benefit to cost of an AI deployment. For the AI phone assistant the benefit side holds revenue gained from…
  • AI strategy An AI strategy sets where a company wants to go with AI and which steps lead there. It links business goals with concrete use cases,…
  • AI transformation AI transformation is the longer-term change by which a company anchors AI in processes, roles and decisions. It goes beyond a single tool…
  • AI use case An AI use case is a concrete application where AI solves a clearly named problem. It describes the trigger, the flow, the data sources and…
  • AI workshop An AI workshop is a facilitated format in which a team jointly understands where AI helps and how to use it. It links fundamentals to the…
  • API integration An API integration connects two systems through a purpose-built interface so they exchange data in a structured way. Unlike mimicking…
  • Artificial intelligence Artificial intelligence is the umbrella term for systems that solve tasks that would otherwise need human thinking. On the phone that…

B

  • Baseline A baseline is the captured state before a change, against which later benefit can be measured. For the AI phone assistant these are values…
  • Bias in AI Bias in AI describes a systematic distortion by which a system treats certain groups or cases unequally. The cause is often skewed…
  • Build vs. buy Build vs. buy is the trade-off between building a solution yourself and buying a ready-made one. It weighs control and adaptability…
  • Business process management Business process management is the discipline of designing, steering and improving flows so they become reliable and repeatable. For the…

C

  • Chatbot A chatbot is a text dialogue system that answers questions in chat and handles simple tasks. It runs on the website, in a messenger or in…
  • Company brain A company brain is a company's curated knowledge base from which an AI system draws its answers. It gathers prices, opening hours,…
  • Context window The context window is the amount of text a language model has in view at once, measured in tokens. Everything inside it can influence the…
  • Conversational AI Conversational AI is the technology with which machines hold natural conversations. It understands free language, keeps context across…
  • Copilot A copilot is an AI system that supports a person at work rather than doing the work for them. On the phone it whispers answers to the…

D

  • Data pipeline A data pipeline is a fixed chain of steps that takes data from a source, reshapes it and delivers it to a target. For the AI phone…
  • Data protection and AI Data protection and AI describes how personal data is handled when artificial intelligence is used. It concerns the legal basis, purpose,…
  • Data quality Data quality describes how correct, current, complete and consistent the data a system works with is. For an AI phone assistant this…
  • Data sovereignty Data sovereignty is control over who accesses data, where it resides and how it is used. The owner decides on purpose, sharing and…
  • Deep learning Deep learning is a form of machine learning with deep neural networks, meaning many stacked layers. This depth lets it capture complex…
  • Document extraction Document extraction is the automatic pulling of structured details from unstructured documents, such as customer number, amount or date…

E

  • Embeddings Embeddings are sequences of numbers that represent the meaning of text. Similar content gets similar numbers, so meaning can be compared…
  • EU AI Act The EU AI Act is the European Union regulation that governs artificial intelligence. It sorts AI systems by risk and attaches graded…
  • EU hosting EU hosting means data and services run on servers within the European Union. The storage location and processing thereby stay in the…
  • Exception handling Exception handling describes the planned way an automated flow deals with errors and exceptions. Instead of stopping silently, the flow…
  • Explainable AI Explainable AI describes systems whose decisions are traceable for people. Instead of a black box they provide reasons or traces that show…

F

  • Fine-tuning Fine-tuning means retraining an existing language model with your own examples so it hits a certain tone or behaviour more reliably. You…
  • Foundation model A foundation model is a large, broadly pretrained language model that serves as the base for many applications. It has learned language,…
  • Function calling Function calling is a language model's ability to invoke a defined function from within a conversation and supply structured values for…

G

  • Generative AI Generative AI produces new content rather than only sorting existing content, so text, speech or images. On the phone it phrases answers…
  • Guardrails Guardrails are firm limits within which an AI system may act. For the AI phone assistant they define what it may say and promise, what it…

H

  • Hallucination A hallucination is an answer from a language model that sounds plausible but is factually wrong or invented. The model fills gaps with…
  • Human in the loop Human in the loop describes an approach where a person stays involved at decisive points in an AI process, whether to approve, correct or…
  • Hyperautomation Hyperautomation describes the approach of automating as many flows in a company as possible, systematically, by meshing several techniques…

I

  • Inbound automation Inbound automation is the automatic handling of incoming calls. A system answers, understands the request, resolves standard cases, books…
  • Inference Inference is the process where a trained model computes an answer from an input. It refers to using the model in production, not training…
  • Intelligent document processing (IDP) Intelligent document processing, IDP for short, describes systems that read documents automatically, classify them and turn them into…

K

  • Knowledge base A knowledge base is a maintained collection of knowledge from which a system draws reliable answers. For an AI phone assistant it holds…
  • Knowledge graph A knowledge graph is a structure that maps things and their relationships, such as service, price, opening hour and responsibility. For…

L

  • Large language models Large language models, LLMs for short, are AI models trained on vast text that predict the fitting next word. From that comes fluent,…
  • LLMOps LLMOps refers to the practices for running, monitoring and improving applications built on language models reliably. This includes…

M

  • Machine learning Machine learning is the branch of AI where systems learn from data instead of receiving every rule by hand. You show the model examples,…
  • Make Make is a cloud automation tool where flows are built as a visual scenario, modules connect apps and data flows visibly from left to…
  • Model Context Protocol (MCP) The Model Context Protocol (MCP) is an open standard through which a language model accesses external tools and data sources. Instead of…
  • Multi-agent system A multi-agent system consists of several specialised AI agents that work together and split tasks among themselves. Instead of one agent…
  • Multimodal AI Multimodal AI processes several signal types at once, such as speech, text, images and structured data. Instead of knowing only one…

N

  • n8n n8n is a workflow automation tool where flows are built from connected nodes, each node a step. It can be self-hosted, which increases…
  • Narrow vs. general AI Narrow AI solves tightly defined tasks, such as understanding calls and booking appointments, without real awareness. General AI would be…
  • Neural networks Neural networks are computing models of many connected units, loosely inspired by the brain. Each connection has a weight that training…

O

  • Open-source models Open-source models are language models whose weights are openly available and which you can run or adapt yourself. Unlike closed models…
  • Outbound qualification Outbound qualification is the active calling of contacts to sort them before handover to sales. An AI assistant calls, asks a few…

P

  • Process automation Process automation means steering a complete business flow from start to end automatically, across systems and responsibilities. On the…
  • Process mining Process mining is a method that reconstructs the actual flow of a process from existing system data. Instead of guessing how calls run, it…
  • Prompt engineering Prompt engineering is the deliberate writing of the instruction that steers a language model. You set role, goal, tone, rules and limits,…
  • Prompt injection Prompt injection is the attempt to make an AI system override its rules through cleverly worded input. For the AI phone assistant this…
  • Proof of concept A proof of concept, or PoC, is a small, targeted test that confirms or refutes the feasibility of an idea. It answers a clear question…

R

  • RAG RAG stands for Retrieval Augmented Generation. Before each answer the language model looks something up in a dedicated knowledge source…
  • Retrieval Retrieval is the targeted fetching of relevant information from a knowledge source before the model answers. Instead of relying on what…
  • RPA RPA stands for robotic process automation, software robots that mimic human clicks and inputs in existing interfaces. The robot opens…

S

  • Scaling AI Scaling AI means extending a proven deployment from a narrow case to more volume, more use cases or more locations. For the AI phone…
  • Speech recognition (STT) Speech recognition, also speech-to-text or STT, turns spoken words into text. On the phone it is the first step: it hears what the caller…
  • Synthetic data Synthetic data is artificially generated data that mirrors real cases without containing real people. For the AI phone assistant it means…

T

  • Text-to-speech Text-to-speech, or TTS, turns text into spoken language. On the phone it is the assistant's voice: it reads the answer aloud so it sounds…
  • Tokens Tokens are the small text pieces a language model breaks language into, mostly word parts. A model computes and pays per token, both for…
  • Total cost of ownership Total cost of ownership is the sum of all costs of a system over its lifetime, not just the purchase price. For the AI phone assistant it…

U

  • Unstructured data Unstructured data is content without a fixed schema, such as call transcripts, emails, PDFs or notes. It carries much knowledge but cannot…

V

  • Vector database A vector database stores content as embeddings, that is as sequences of numbers for meaning, and finds the most similar entries to a query…
  • Vibe coding Vibe coding means developing through natural language, where you describe to an AI what should be built instead of writing every line…
  • Voice agent A voice agent is a voice system that runs a phone call in real time. It turns speech into text, decides on the reply and speaks it back,…
  • Voicebot A voicebot is a voice-driven dialogue system on the phone. The caller speaks the request, the bot recognises it and answers with speech.…

W

  • Webhook A webhook is an automatic notification a system sends to a fixed address as soon as an event occurs. Instead of asking constantly, the…
  • Workflow automation Workflow automation chains individual steps into a fixed flow that starts on an event and runs through without manual work. An inbound…

Z

  • Zapier Zapier is a cloud service that connects apps through simple trigger-action chains; a Zap consists of a trigger and one or more actions.…

In detail

Overview

This editorial collection explains 100 AI terms the way they are used in real projects: with definition, use fields, industries and an honest decision guide. Every term links the relevant services and is published only after evidence, internal links, FAQ and bilingual parity are checked.

In detail

Quality Standard

Every detail page has an extractable short definition, industries and use cases, a decision table, an example, related terms, evidence logic, one clear next step (book a call) and three questions with answers.

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