AI Chat with Company Knowledge: A Workspace with Context

An AI chat with company knowledge is a workspace that doesn’t start from zero, but is connected to your company’s context: contacts, tasks, deadlines, notes, documents. It answers questions based on this context and contributes results to your shared workflow – rather than just outputting text that you then transfer manually.

Why a normal chatbot isn’t enough in everyday work

Without company context, an ordinary chat knows neither your customers nor your open tasks or your style of writing proposals. The result: you explain the same background in every conversation, copy results manually into other tools – and receive answers that remain generic.

If tasks, contacts, and documents are in separate systems, the AI lacks the connecting context. The key is a shared database that the workspace is allowed to access within permitted limits.

What changes when the chat knows your data

With company knowledge, a text generator becomes a gateway to technological workforce:

• Answers with substance: The assistant relies on your real data instead of assumptions.
• Results without friction: “Create a task for me for Friday” – and the task appears in your database, not just in the chat window.
• Less repetition: What makes your company unique, you don’t have to explain in every conversation.

webRichtung assist is the gateway to this AI workspace: with chat, dictation, tasks, skills, artifacts, and document creation in an enterprise context.

How this works in practice

A typical workday with a connected assistant:

1. You request a draft rejection letter to a prospect – including the goal, context, and desired format.
2. Out of the conversation emerges a task with a due date in your workflow.
3. The result remains as an artifact or document instead of disappearing in the chat history.
4. You check and reschedule appointments in the same conversation without switching applications.

This way, no good result gets lost in the chat history, and thoughts become binding steps.

Explain recurring tasks once: Skills

The AI workspace becomes truly powerful when you teach it how your company works. In assist, this is called skills: recurring processes, rules, or task patterns – such as “This is how we write proposals” or “This is how we handle complaints.” This way, maintained company knowledge becomes part of your workforce instead of disappearing in individual prompt runs. Learn more in the article Skills for recurring tasks.

What to look for when choosing

• Database instead of isolated solution: Can the chat actually create tasks, deadlines, and notes – or does it only produce text?
• Results that stick around: Are work results saved and stored in a findable way?
• Data protection: Where is data processed, who can access it, and what contracts apply? webRichtung is developed and operated in Germany.
• Fair pricing model: The account is free and has no base fee. In the Pay per Use model, 1 Credit equals 1 € net – you pay for work completed, not for access.

How you work with the chat and what artifacts actually are is shown in the documentation at docs.webrichtung.de/assist/.