An AI-powered knowledge base for your team
Company procedures exist, but they are scattered across documents, folders and chat messages. Finding the answer to a simple question takes longer than asking it, so it is easier to ask a colleague, which eats into their time instead of solving the problem.
How much this process costs you a year
The sliders start from values typical for this process. Swap them for your own — the result recalculates instantly, no account and no email required.
This process costs you
Realistically you will recover from PLN 0 to PLN 0 a year
Here is the math: salary times the employer cost multiplier 1.2 divided by 173 hours a month gives the hourly rate. That rate times the hours in a year gives the cost of the process. From the recovery we take a band of 40% to 70%, because part of the time recovered on paper comes back as supervising the automation and handling exceptions. This is a deliberately conservative range, not a promise.
Where the hours go
Company knowledge is rarely lost completely; more often it is hard to get to. It sits in a document whose title does not match the question, or in a message from six months ago that no keyword search will turn up. The result is a question put to a colleague, which interrupts their work and costs two people's time instead of one.
The biggest cost falls on the newest team member, who does not even know where to look, and on the experienced one, who becomes a walking knowledge base instead of doing what they were actually hired to do.
What automation does
Company documents and procedures go into a single knowledge base that can be searched with a question in your own words, not the exact phrase from a document title. The answer is built from the content of those documents, with the source given, not from the language model's general knowledge.
Updating a procedure in one place immediately changes what everyone who asks will see, so there is no risk of someone getting an answer that is months out of date. Questions the knowledge base cannot answer go to someone who can fill the gap.
What it costs and when it pays back
Implementation usually falls between 4,000 and 12,000 PLN, within the platform's automation range, which goes up to 20,000 PLN. The price depends on the number and format of the source documents and on where the team should ask its questions: in a separate app or in a tool it already uses.
Payback comes in the fourth to eighth month, counting the time saved on repetitive questions within the team. On top of that comes the cost of queries to the language model, which depends on the number of questions and is worth agreeing before launch.
Contractors working with these tools
This process is most often built on the tools below. Each link opens a catalog narrowed to contractors who've declared it — rates, availability, and ratings from settled contracts.
Frequently asked questions
Usually 4,000 to 12,000 PLN as a one-off, within the platform's automation range of 2,000 to 20,000 PLN. On top of that come the running costs of queries to the language model, which depend on how many questions the team asks.
No, as long as the solution answers only from the documents provided and not from the model's general knowledge. This is the key difference when pricing, and its absence is the most common reason a team stops trusting a tool like this.
That depends on the model provider you choose and your agreement with them, exactly as with any other API integration. It is worth settling this explicitly before implementation, especially for documents containing sensitive data.
The build itself usually takes 10 to 60 hours, depending on the number of documents. Tidying up the documents on the company's side, for example removing outdated versions, usually takes longer than configuring the search itself.