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VSA cube: an AI assistant connected to company knowledge

AI assistant and AI agent for business

An AI assistant for business that knows your documents, offer and procedures

An AI assistant for business answers employees and customers from approved company knowledge: documents, offer, price list and procedures. It cites its source, collects data and hands the case to a person when it goes beyond the agreed scope. For small and mid-sized companies.

The problem

The knowledge is in the company, but nobody has time to look for it

Answers to most customer and employee questions already exist: in the offer, in instructions, in emails and in the heads of experienced people. The problem is that they are scattered. Every question pulls someone away from work, and new people take a long time to learn where to look.

A general AI chat does not solve this, because it does not know your company and can answer confidently but wrongly. An AI assistant for business works differently: it first retrieves matching fragments from company materials (this approach is called RAG, retrieval-augmented generation) and only then writes the answer and shows where it came from.

Kamil Kosiorek „Kosior”Author: — owner of Vis-Sol, author and process owner

Where an assistant saves the most time

  • Onboarding new employees who ask about procedures and price lists in their first weeks.
  • A sales team searching for product parameters across several catalogues at once.
  • A service team gathering device history and data before visiting a customer.
  • An office where the same customer questions come back by email and phone.

What the assistant does

What an AI assistant can do in a company

  • Answers from company knowledge

    Answers from documents, offer and procedures, with the source shown.

  • AI knowledge base

    We organise facts, categories and gaps in materials so the assistant has something to work with.

  • AI in customer service

    Qualifying enquiries, collecting quotation data, preparing context for an employee.

  • AI agent for business

    Performs the next steps after a conversation, e.g. opens a request, within limits agreed with the company.

  • File analysis

    Reading and comparing documents and answering questions about their content.

  • Context search

    A question in natural language instead of searching for a document by name.

How to implement an AI agent

From company materials to a working assistant

  1. 01

    Knowledge review

    We check which materials exist, what is up to date and what is missing. You can start with the free Knowledge Scan.

  2. 02

    Scope and limits

    We agree which questions the assistant answers alone and what always goes to a person.

  3. 03

    Launch

    A separate environment with company knowledge, connected to the website, email or team tools.

  4. 04

    Measurement and updates

    Conversation reports, answer improvements and knowledge updates when the offer changes.

Limits we keep

  • The assistant does not answer outside approved company knowledge. When context is missing, it says so.
  • One company's data is never knowledge for another company.
  • Commercial decisions and unusual cases stay with people.

In practice

A website assistant and a source-based search

  • The same mechanism works publicly for a laser equipment maker: before a case reaches a salesperson, the assistant gathers the information the salesperson needs.

    Case studies →
  • VSA context search shows the whole flow: question, semantic retrieval, source ranking, answer and visible sources.

    See how it works →

The assistant runs on the VSA platform, designed and developed by Kamil Kosiorek.

FAQ

AI assistant for business: frequently asked questions

What is an AI agent?

An AI agent is an assistant that, besides answering, also performs further process steps, e.g. fills in a request or drafts a reply. In a company it works within agreed tasks and permissions.

What is RAG in AI?

RAG (retrieval-augmented generation) means the AI first retrieves matching fragments from source materials and then writes the answer based on them. Answers are grounded in company knowledge, not only in the model's general knowledge.

How is an AI assistant different from a chatbot?

A chatbot usually follows a script. An AI assistant answers from company knowledge, cites sources, collects data and hands cases to a person.

How do I prepare a knowledge base for AI?

Collect current sources (offer, price list, procedures, FAQ), remove contradictions, split the material into categories and decide who updates it. The free Knowledge Scan shows the gaps.

Is company data safe?

Company materials go into its own instance and are never used to answer other clients. Access is agreed task by task.

How much does an AI assistant for business cost?

It depends on the number of knowledge sources, channels (website, email, team tools) and integrations. We give the scope and price of the first stage after a short call.

Related

Where we work

The assistant runs in the cloud, so your location does not matter and we serve clients nationwide. If your company operates in the Kuyavian-Pomeranian region, e.g. in Bydgoszcz, Grudziądz, Włocławek or Toruń, we can review materials and train the team at your office.

Check whether your knowledge is ready for an assistant

Tell us which questions your team answers most often. We will show you where to start.