Zum Inhalt springen
Resources · Glossary

The key AI and automation terms, explained without noise.

The glossary is designed for decision-makers, teams and clients who need a shared language without wading through unnecessary jargon.

Shared understanding

A common vocabulary makes every project move faster.

A surprising amount of friction comes from terms that different stakeholders interpret differently. The glossary creates a clean reference layer inside the same brand language as the rest of the site.

Terms

Concepts that show up across almost every project.

Short, precise definitions written so technical and non-technical stakeholders can still make sound decisions from them.

AI agent

A system that understands context, uses knowledge and can trigger actions instead of only generating text.

RAG

Retrieval-augmented generation combines a language model with a controlled knowledge layer and answers from actual sources.

LLM

A large language model such as Llama or Mistral that processes and generates language and powers many modern agent systems.

Self-hosted

Software or models run on your own or deliberately managed infrastructure instead of public consumer services.

Data sovereignty

The ability to control hosting, permissions, data paths and access both technically and legally.

n8n

An open-source workflow automation platform that can be self-hosted and extended in privacy-conscious environments.

Voice agent

An AI system that can handle phone conversations, qualify callers and hand over cleanly to humans when needed.

Human handoff

The explicit escalation point at which an agent transfers the conversation to a human together with full context.

Lead qualification

The structured assessment of whether an enquiry is operationally, commercially and strategically aligned with an offer.

The glossary will later expand into audit, visibility and process terminology so website, sales and delivery all speak the same language.

Self-hosted LLMs (Llama, Mistral, Phi)
Swiss/EU Datacenter
GDPR/DSG-compliant
Next step

Clarify the language first and then make the right system decision.

If the bottleneck is still unclear after that, audit is usually the fastest way to prioritise the next move properly.