Every AI term you'll encounter when exploring AI for your business — explained in plain English, without the jargon or the hype.
Not sure where to start with AI for your business? This glossary will help you speak the language — but the fastest way to understand what AI can do for your specific operation is a free 30-min call with our team. Book it here →
An AI system that can take actions autonomously — browsing the web, answering emails, booking appointments, or executing multi-step workflows — without needing a human to approve each step.
Using AI to perform tasks that previously required human effort. Unlike simple rule-based automation, AI automation can handle unstructured inputs, make judgments, and adapt to changing conditions.
A way for software systems to communicate with each other. AI integrations typically use APIs to connect AI models with your existing business tools — CRMs, databases, email platforms, and more.
The process of transforming raw business data into insights that support decision-making. AI-powered BI tools update in real time and can surface insights automatically, rather than requiring manual analysis.
Software that simulates conversation with users, typically via text. Modern AI chatbots (powered by large language models) can handle complex, open-ended conversations — unlike older rule-based chatbots that could only respond to fixed commands.
AI that can interpret and understand images and video. Used in manufacturing for defect detection, in retail for stock monitoring, and in security for access control.
Software for managing customer data and interactions. AI can integrate with CRMs to automate follow-ups, qualify leads, and surface insights about customer behaviour.
AI systems built specifically for your business — as opposed to generic off-the-shelf tools. Custom AI is trained on your data, follows your workflows, and creates a competitive advantage that others can't simply replicate by buying the same tool.
A visual interface that displays key business metrics in real time. An AI-powered dashboard automatically pulls data from multiple sources, updates continuously, and can alert you when something needs attention.
The automated flow of data from source systems (spreadsheets, databases, APIs) to where it's needed — a dashboard, an AI model, or a reporting tool. A well-designed data pipeline eliminates manual data entry.
The process of training a pre-trained AI model further on your specific data to improve its performance on your use case. A fine-tuned model understands your terminology, products, and business context.
The architecture behind many modern language AI models, including those from OpenAI. GPT-based models generate human-like text and power most modern AI agents and chatbots.
Connecting different software systems so they share data automatically. AI integrations connect your AI systems to your existing tools — removing data silos and eliminating manual data transfer.
A measurable value that shows how effectively a business is achieving its objectives. AI dashboards track KPIs in real time and can alert you when they deviate from targets.
A type of AI model trained on vast amounts of text data that can understand and generate human language. LLMs power modern AI agents, chatbots, and content generation tools.
A branch of AI where systems learn from data to improve their performance over time, without being explicitly programmed. ML is used for forecasting, classification, anomaly detection, and recommendation systems.
AI technology that enables computers to understand, interpret, and generate human language. NLP powers chatbots, voice agents, document analysis, and sentiment analysis.
AI that extracts text from images, scanned documents, or PDFs. Used to automate data entry from paper documents, invoices, and forms.
The practice of crafting instructions (prompts) given to an AI model to get the best possible output. A well-engineered prompt makes the difference between a useful AI response and a generic one.
An AI technique that combines a language model with a knowledge base — so the AI can answer questions accurately based on your specific documents, website, or data, rather than just its training data.
Software that automates repetitive, rule-based tasks by mimicking human actions in digital systems — clicking, typing, copying data. When combined with AI, RPA can handle more complex, judgment-based tasks.
Software delivered over the internet on a subscription basis. Many AI tools are available as SaaS — though SlamAI also builds custom AI software that your business owns outright.
AI that analyses text to determine the emotional tone — positive, negative, or neutral. Used for monitoring customer feedback, social media, and support tickets.
A type of database optimised for storing and searching AI embeddings — numerical representations of text or data. Powers semantic search and RAG systems.
An AI system that can have spoken conversations with customers over the phone or via smart speakers — handling enquiries, booking appointments, and qualifying leads without human intervention.
A way for one system to automatically notify another when something happens. Used to trigger AI workflows in real time — for example, when a new lead fills in a form, a webhook can instantly kick off an AI qualification process.
The process of automating a sequence of tasks that previously required human action at each step. AI workflow automation can handle decision points within the workflow — not just simple if/then logic.
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