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AI & Automation. Simply explained.
What are AI agents, RAG and automated workflows? Find direct answers, practical examples and useful starting points for your business.
Understand AI. Recognise the possibilities.
Direct answers, clear definitions and examples: explore the technology behind AI solutions and the tasks it can support in your business.
AI agents
AI agents can use tools and work through tasks in steps. Examples, differences from chatbots, and sensible approval controls.
AI Chatbot
An AI chatbot answers questions in a conversation. Learn how sources, hand-offs and system integrations work together in customer service.
AI hallucinations
AI hallucinations are plausible-sounding but inaccurate outputs. Learn how sources, tests and approvals can help manage this risk.
AI Invoice Processing
AI can capture invoice data and prepare checks, combining document recognition, plausibility checks and approval.
AI Proof of Concept
An AI proof of concept tests a specific idea using real examples. This makes the benefits, effort, and limitations clear before a larger rollout.
AI-Generated Product Texts
AI can draft product descriptions from existing attributes, keeping facts, tone and approvals traceable in your e-commerce operations.
API interface
An API connects software through defined access points. Learn how interfaces enable data retrieval and AI workflows in existing systems.
Artificial Intelligence (AI)
What is AI, and where can it help your business? A clear explanation with examples for customer service, documents and workflows.
CRM Automation
CRM automation connects customer inquiries, cases and follow-up reminders. Find out which tasks can be supported with rules and AI.
Email Automation
AI can classify emails, find information and prepare draft replies. Examples for clear ownership and controlled sending.
Generative AI
Generative AI creates text and other content. Find out how to use it for drafts and which results you should review.
Human in the Loop
Human in the Loop involves people in AI workflows. Examples include approvals, unclear results and decisions involving responsibility.
Intelligent Document Processing
Intelligent document processing identifies document types, extracts information and passes verified data into your existing workflows.
Knowledge assistant
A knowledge assistant helps your team find approved information. Examples include manuals, product knowledge, and internal processes.
Large Language Model (LLM)
LLM stands for Large Language Model. Find out how language models process text and the role they play in a business solution.
Local AI
Local AI runs on your own infrastructure. Learn how much control it can offer and what operational tasks are still involved.
OCR text recognition
OCR converts text in images and scans into processable characters. Find out where recognition helps and when review is necessary.
Prompt Engineering
A prompt describes a task for AI. Learn how clear instructions, examples and testing can help produce more reliable results.
Retrieval Augmented Generation (RAG)
RAG connects a language model to relevant information sources. This allows answers to draw on company knowledge rather than only training data.
Voicebot
A voicebot processes spoken requests. Learn how speech recognition, responses and handoffs to your team work together.
Workflow automation
Workflow automation connects recurring work steps. Find out when fixed rules are enough and where AI can provide useful support.
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