AI integration
AI integration is the process of wiring language models, RAG, or predictive models directly into a business's existing systems and workflows.
Also known as: artificial intelligence integration
AI integration is the process of wiring artificial intelligence — typically language models, image recognition, RAG search, or predictive models — directly into the systems a business already uses (ERP, CRM, email, document archives). The goal is that the user's workflow does not change; what changes is that AI takes over routine tasks or makes decisions ready-to-go. AI integration differs from "AI experiments" because the solution runs in production with real users, and from "regular automation" because language models can handle unstructured information like text and images.
In Norwegian context
For Norwegian businesses, AI integration requires GDPR assessment, EU regions with vendors, and data processing agreements. Common integration targets are Microsoft 365, Tripletex, Visma, Altinn, and EHF.
Read more in the in-depth article on this topic.
Related terms
- AI agent — An AI agent is software that sets goals, plans steps, and acts autonomously to achieve them — without continuous human oversight.
- RAG (Retrieval-Augmented Generation) — RAG is a technique where a language model answers based on the business's own documents — instead of only its general training.
- LLM (Large Language Model) — An LLM is a large language model trained on enormous text volumes that can generate, summarise, and analyse text in a human-like way.