Inside the team
The answer is in one colleague's head, or in a lost file
An assistant that answers from your contracts, quotes and handbooks, and names the document it used.
Who this is for Teams whose knowledge is spread across folders, chat threads and one person's memory.
The problem
The answer is somewhere in the folders
The question is simple: what discount was agreed with that client, what did we promise in the quote, how do we handle a return. The answer exists somewhere, but finding it takes longer than the work does, so somebody asks a colleague. The colleague answers from memory, and when they are away the work stops.
You will know it by
- The same questions keep coming back in the team chat.
- One person is irreplaceable because of what they remember.
- A new hire spends the first weeks asking what is already written down.
- Finding an old quote takes longer than writing a new one.
Possible solutions
Not every road leads to me
Tidy folders and search
A clear folder structure, consistent names and search people actually use.
Where it stands Free, and usually not done. Search finds the file, not the answer inside it.
An internal wiki
Processes and rules written in one place everyone reads.
Where it stands The right foundation, but it needs constant writing. A stale wiki does more harm than none.
An assistant that reads your documents
You ask in your own words, and the answer comes with the document it was taken from.
Where it stands This is the one I build. Worth it when there are many documents and they are sound inside, even if the folders are not.
What I set up
The assistant is pointed at your contracts, quotes, handbooks and, where it fits, your own database. People ask in plain words, and the answer names the document and the place it came from, so it can be checked. Access rights are agreed up front: who may see and ask what. Where it is needed, it runs inside your own infrastructure and the documents do not leave it.
How it goes in
- We write down which questions repeat and which documents hold their answers.
- We agree access: who sees pricing, who sees contracts, who sees neither.
- We connect the documents and test with real questions from your own chat history.
- We flag which documents are out of date, because that becomes obvious at once.
The limit It knows only what it is allowed to read, and it is only as right as the documents are. An out-of-date document will give an out-of-date answer, just faster.
The work It depends on the volume, and on how much of it is really needed. Often the value is not the whole archive but the twenty documents the work leans on daily.
The prices on this site are final.
What it brings
An answer without interrupting a colleague
A question that used to need a person no longer needs one.
A new hire starts faster
They can ask the assistant the thing they would not ask a person a third time.
An answer with its source
Naming the document lets you check rather than believe.
How you check it yourself
For two weeks, count how often somebody asks the team chat something that is already written down. That is the only number needed, and your chat history already holds it.
Is this your job?
Tell me how this runs at your place now. On a 30 minute call I will say whether it is worth automating, where I would start and what it needs.
Book a 30 minute callThe call is free, with no obligation and nothing to sign.
Not sure which job is first for you? The free assessment says where the hours go. Start the assessment
Common questions
Do the documents leave the company?
It depends on the design, and that is decided before work starts rather than after. Some work runs entirely inside your own infrastructure. Where an external model is used it is named in the contract as a sub-processor, and the data processing agreement is signed before work starts.
Will staff see things they should not?
Not when the access is described. The assistant can have separate areas with different rights, and that is agreed before the documents are connected rather than after the first awkward answer.
Leverage with AI