AI solutions for business
AI implementation for business: from one process to a working solution
Implementing AI in a company means running an AI-based tool in one specific process: answering customer questions, preparing quotes or organising documents. We work with small and mid-sized companies. First we measure the problem, then we implement the smallest sensible scope.
The problem
AI without a goal is just another subscription
AI in a company most often fails for one reason: it starts with the tool, not the problem. Employees get access to a chat, but its answers do not know the offer, procedures or price list, so someone still has to check them.
The hardest part of AI implementation is not the model, it is knowledge and boundaries: which materials AI may use, what it can do on its own and what always goes to a person. That is where we start. Sometimes the analysis says plain automation without AI is enough, and then we say so.
Author: Kamil Kosiorek „Kosior” — owner of Vis-Sol, author and process owner
Signs that AI can genuinely help
- The team answers questions every day whose answers already sit in documents.
- Documents and enquiries arrive in different formats and someone has to read and summarise them.
- Product knowledge lives in two people's heads and blocks their holidays.
- The company has an AI chat, but nobody trusts what it says about the offer.
What we implement
What we can implement with AI in your company
AI assistant for business
Answers employees and customers from your documents, offer and procedures, not from general internet knowledge.
AI chatbot for your website
Handles repetitive questions, collects quotation data and passes a complete request to a person.
AI in customer service
Qualifies enquiries, completes requests and routes cases to the right person.
AI knowledge base
Organises scattered files, instructions and answers into one source used by the assistant.
AI for documents
Reads data from documents, orders and forms and passes it on, with human control.
AI agent for business
Performs several process steps after a conversation, e.g. fills in a request or a draft quote, within agreed limits.
How to implement AI
AI implementation step by step
- 01
Call and analysis
You describe the task that takes time. We check whether AI makes sense and what knowledge sources exist.
- 02
First stage
AI works on one real task. We measure time, answer completeness and the number of cases handed to a person.
- 03
Delivery
A dedicated environment with company knowledge, integration with the website, CRM or email and clear limits.
- 04
Maintenance
Knowledge updates, conversation reports, answer quality improvements and further processes.
Implementation rules
- Each company's data is separated from other clients' data.
- Decisions and unusual cases stay with people.
- If simpler automation solves the problem, we do not add an AI model.
Example
An AI assistant on a company website
The first production deployment serves customers of DRR DAMSON, a laser equipment company. During the first month of observation the assistant held 103 conversations with website visitors.
Case studies →The assistant runs on the VSA platform: it answers from a limited context of company knowledge and shows its sources.
How VSA works →
Results apply to the described deployment and are not a guarantee for every company.
FAQ
AI implementation: frequently asked questions
Where should a small company start with AI?
With one repetitive task that takes the most time today, e.g. answering the same customer questions or copying data from documents. We measure that task first, then run AI in a narrow scope and compare the result.
Does a small business need AI?
Not every one. AI makes sense when repetitive questions, requests or scattered knowledge regularly cost time or cause errors. If simpler automation without AI solves the problem, that is what we recommend.
How can a company use AI safely?
Each company gets a separate environment: its own knowledge, configuration, conversations and logs. The assistant only accesses the information needed for the agreed task.
How is an AI assistant different from a regular chatbot?
Scripted bots stick to a decision tree or generic knowledge. An AI assistant replies from approved company knowledge, collects data and hands cases over to a person.
How much does AI implementation cost?
It depends on the number of knowledge sources, integrations (website, CRM, email) and the level of human control required. We give the scope and price of the first stage after a short call, before work starts.
Will AI replace employees?
In our deployments AI takes over a repetitive part of the work, and decisions stay with people. The goal is to give the team its time back, not to replace it.
Related
Where we work
We implement AI across Poland. The team workshop where we set the limits of AI can be remote or on site, most easily in the Kuyavian-Pomeranian region. Vis-Sol's registered office is in Toruń (87-100), and Kamil Kosiorek oversees the architecture of every implementation.
Check whether AI makes sense in your process
Describe one task that takes time. We will tell you whether AI, plain automation or no change at all is the better choice.