An AI-powered digital entity that talks with customers in natural language and performs tasks.
An AI Assistant is an AI-powered system running on large language models (LLMs) that can carry on human-like conversations with customers, answer questions, make sales, and automate tasks. Unlike classic chatbots, it understands context, asks follow-up questions, and manages complex conversations.
An interface that lets software systems exchange data and commands.
An API (Application Programming Interface) is a defined interface that lets two software systems communicate. AI assistant platforms integrate with CRMs, e-commerce, payments and calendar systems through APIs. It is the foundation of modern AI assistant deployments.
An automated chat system that runs on predefined rules or AI.
A chatbot is an automated system that has written conversations with customers on websites and messaging apps. Traditional chatbots are rule-based (if-then logic), while modern ones are AI/LLM-based and have natural-language understanding. An AI Assistant can be thought of as the evolved version of a chatbot.
An AI-based replica of a person that mimics their voice, style and knowledge.
A Digital Clone is an AI-powered replica of a person. It mimics their voice, writing style, expression and knowledge. Creators, experts and consultants use it to answer follower questions, provide product advice, or stay available 24/7.
The European Union's personal data protection regulation — the EU equivalent of Turkey's KVKK.
GDPR (General Data Protection Regulation) is the EU's personal data protection regulation, in force since 2018. It applies to any business worldwide that processes EU citizens' data. It is largely aligned with KVKK. GDPR compliance is mandatory for AI assistants used in the EU market.
Safety boundaries placed on what an AI assistant is allowed to say.
Guardrails are rules that prevent an AI assistant from producing unwanted, harmful or off-brand outputs. For example: not praising competitor products, not speculating on sensitive topics, not asking for personal information. They are an indispensable part of enterprise AI deployment.
When an AI model produces information that does not exist as if it were real.
Hallucination is when an AI model presents information that isn't in its training data — or is simply wrong — as if it were confident fact. The problem can largely be prevented with RAG, fact-checking and proper prompt engineering. It is a critical design issue for the reliability of enterprise AI assistants.
An automated voice system that routes callers via a phone menu.
IVR (Interactive Voice Response) is the automated system in classic call centers that offers menus like "Press 1 for English." Modern AI assistants completely eliminate that menu and provide natural voice conversations — the next-gen technology replacing IVR.
Turkey's Personal Data Protection Law — defines the rules for processing personal data.
KVKK (Law No. 6698 on the Protection of Personal Data) is the Turkish law that regulates the collection, processing and storage of personal data in Turkey. Businesses using AI assistants are required to handle customer data in a KVKK-compliant way. Privacy notices, explicit consent and data-deletion rights are core elements.
An AI model trained on trillions of words that can understand and produce natural language.
An LLM (Large Language Model) is an AI system trained on millions of documents that statistically models human language. Models like GPT, Claude and Llama are examples of LLMs. They form the foundation of modern AI assistants.
AI that can process multiple data types: text, audio, images, video.
Multi-modal AI is an AI system that can process not just text but also audio, images and video together. When a customer sends a receipt photo on WhatsApp, the AI can understand both the image and any accompanying text. A standard feature of next-gen AI assistants.
AI understanding the purpose behind a customer's message.
Intent Detection is the process of classifying the true purpose of what a user wrote or said. For example, the message "Where is my package?" maps to the "order tracking" intent. The AI then takes the appropriate action (system integration, response format, etc.) based on that classification.
The AI field focused on computers understanding and producing human language.
NLP (Natural Language Processing) is the AI sub-field that lets computers understand, interpret and produce written or spoken human language. Intent detection, named-entity recognition, sentiment analysis and machine translation are typical NLP applications.
Building software through visual interfaces instead of writing code.
No-Code / Low-Code means building software solutions through visual interfaces, drag-and-drop and templates instead of traditional code. Modern AI platforms like Morfoz use a no-code approach so that non-technical teams can also build AI assistants.
The identity profile that defines an AI assistant's character, tone and behavior.
Persona is the "personality" of an AI assistant — how it speaks, what tone it uses, how it approaches questions. For example, "Professional, warm but formal" or "Fun, friendly, witty." Persona is critical for the consistency of brand experience.
A ready-made capability pack that can be added to an AI assistant for a specific task.
A Plug-in Module is a ready-made capability pack that can be added to an AI assistant after the fact, to perform a specific task (booking, e-commerce, leave management, etc.). On modular platforms like Morfoz they can be added with a single click. Think of them as Lego pieces.
The instruction text given to an AI model that defines the expected behavior and task.
A prompt is a written instruction given to steer an AI model's behavior. A well-written prompt clarifies what the AI should do, what tone it should use, and what kind of information it should and shouldn't provide. It's a critical concept in AI assistant deployment.
Having AI generate answers from your documents instead of its own training data.
RAG (Retrieval-Augmented Generation) is when an AI assistant, instead of relying only on its training data, retrieves and uses information from a knowledge base you've uploaded (documents, product catalogs, FAQs) while generating answers. This dramatically increases accuracy and reduces the risk of "hallucination."
Using AI to determine whether a message is positive, negative or neutral.
Sentiment Analysis is the AI-driven classification of a text's emotional tone (positive, negative or neutral). It's used to analyze customer reviews, social media and call-center conversations. A common method for automatically detecting unhappy customers.
Reproducing a person's voice with AI and using it on new text.
Voice Cloning is technology that learns a person's voice from a short audio sample (typically 30 seconds to 5 minutes) and can then generate new sentences in that voice. Modern models can produce clones nearly indistinguishable to the human ear. A consent declaration is critical for ethical use.
AI technology that converts spoken audio into written text.
STT (Speech-to-Text) is the technology that converts human speech into written form. Modern models can handle background noise, accents and distinguish between different languages. Used in call-center transcripts, voice-assistant interactions and meeting-recording applications.
AI technology that turns written text into natural-sounding speech.
TTS (Text-to-Speech) is the technology that converts written text into human-like spoken audio. Modern TTS models can produce emphasis, emotion and accents naturally. Used in call centers, voice assistants and accessibility applications.
A mechanism that sends an automatic notification to another system when an event occurs.
A Webhook is a mechanism that sends an automatic HTTP notification to another system when a specific event (new order, message, appointment, etc.) occurs in one system. An AI assistant talks to an e-commerce platform via webhooks — when an order status changes, an automatic message goes out to the customer.
WhatsApp's programmatic access interface for enterprise messaging.
The WhatsApp Business API is an official Meta interface that lets businesses programmatically manage customer messages on WhatsApp. It offers enterprise features like AI assistant integration, multiple agents, message templates and analytics. It's different from the WhatsApp Business app.
Partially or fully automating phone calls with AI.
Call Center Automation is the process in which AI voice assistants answer incoming calls, detect intent, handle simple tasks, and hand off to a human agent when needed. It's the modern, natural-language version of classic IVR.
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