Glossary
Short definitions of the 20 terms we hear most in AI and automation projects. Each starts with a one-sentence definition, then explains how it works and when it is used.
A4 terms
Agentic AIAgentic AI is an approach in which AI systems do more than generate answers: they set sub-goals, plan, use tools and carry out multi-step work with limited human intervention.Read the definition →AI agentAn AI agent is software that uses a language model to decide which steps to take towards a goal and then carries out those steps with tools such as APIs, databases and email.Read the definition →AI governanceAI governance is the set of policies, roles and processes that determine how an organisation selects, uses, oversees and manages the risks of its AI systems.Read the definition →AI hallucinationAn AI hallucination is output in which a language model presents information, a source or a figure that does not exist, fluently and confidently, as if it were true.Read the definition →C1 terms
ChatbotA chatbot is software that converses with users in text or voice on channels such as a website, WhatsApp or in-app messaging, answering questions and handling simple tasks.Read the definition →D1 terms
Digital maturityDigital maturity is a measure, usually expressed in levels, of how well a company uses digital tools across its processes, data, technology and team skills.Read the definition →E2 terms
EmbeddingAn embedding is a fixed-length array of numbers (a vector) that represents the meaning of a word, sentence, document or image, so that similar content ends up close together.Read the definition →EU AI ActThe EU AI Act is Regulation (EU) 2024/1689, which classifies AI systems in the European Union by risk level and sets obligations for providers and deployers accordingly.Read the definition →F1 terms
Fine-tuningFine-tuning is the process of further training a pre-trained AI model on your own examples so that it performs a specific task, tone or output format better.Read the definition →G1 terms
GEO (Generative Engine Optimization)GEO (generative engine optimization) is the practice of preparing website content so that AI-powered search tools such as ChatGPT, Google AI Overviews and Perplexity cite it as a source in their answers.Read the definition →K1 terms
KVKK (Turkish Personal Data Protection Law)KVKK is Türkiye's Personal Data Protection Law, Law No. 6698, which sets the rules for processing personal data and the rights of individuals in Türkiye.Read the definition →L2 terms
LLM (Large Language Model)An LLM (large language model) is an AI model trained on very large amounts of text that answers questions, summarises, translates and writes by predicting what text should come next.Read the definition →Low-codeLow-code is a software development approach in which applications and workflows are built mainly with visual interfaces, drag-and-drop components and ready-made connectors, extended with small amounts of code where needed.Read the definition →M1 terms
MCP (Model Context Protocol)MCP (Model Context Protocol) is an open protocol, introduced by Anthropic in November 2024, that gives AI applications a standard way to connect to tools, data sources and business systems.Read the definition →N1 terms
n8nn8n is a workflow automation platform that connects applications and APIs through visual nodes and that you can also run on your own servers.Read the definition →P1 terms
Prompt engineeringPrompt engineering is the practice of writing, testing and refining the instructions, examples and context given to a language model so that it produces consistent, accurate results.Read the definition →R2 terms
RAG (Retrieval-Augmented Generation)RAG (Retrieval-Augmented Generation) is an AI architecture that lets a language model retrieve relevant passages from a chosen document collection, such as a company's own documents, and use them as context before it writes an answer.Read the definition →RPA (Robotic Process Automation)RPA (robotic process automation) is an automation method in which a software robot clicks through screens and enters data like a person to carry out rule-based, repetitive tasks.Read the definition →V1 terms
Vector databaseA vector database is a database that stores numeric vectors representing content such as text, images or audio and quickly finds the records closest in meaning to a query.Read the definition →W1 terms
Workflow automationWorkflow automation is an approach in which software carries out the repetitive steps of a business process, such as data transfer, approvals, notifications and reporting, according to defined rules.Read the definition →Let’s talk about your transformation
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