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What goes into the cost of a business document assistant?

Short answer

At Syntalith, an AI assistant that answers employees from company documents and names the source costs from €3,000 net, usually up to €7,000. The build takes 4 to 10 weeks. The number of sources, employees' permissions and sorting out versions raise the price. When the documents sit in one place, ChatGPT or Claude for the team from €1,150 is sometimes enough.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

AI assistants in companies: statistics 2026

from €3,000

net for an AI assistant for company documents, usually up to €7,000. Paid once, half after acceptance.

Figures checked: 22 October 2026

What price to put in the budget

At Syntalith an AI assistant for documents is an AI app. It costs from €3,000 net, usually up to €7,000, and takes 4 to 10 weeks to build. The simpler option is setting up ChatGPT or Claude for the team.

Three ways, three budgets
  • ChatGPT or Claude for the team

    from €1,150

    The files and connections the ready tool gives. Good when the documents are in one place and the permissions work.

  • AI assistant for documents

    €3,000–7,000

    Your own app: several sources, employees' permissions, the source with every answer.

  • An assistant that also acts

    from €3,000

    Submits a request or changes data in other systems. That is already an agent, priced separately.

In a yearly comparison, write down separately the start-up cost, twelve months of running and the work of the people who maintain the documents. An unknown maintenance price is a question for the supplier. Entering zero understates the budget.

A demo from one file and work on the whole body of knowledge

An employee asks how to request a purchase. In the demo the assistant answers from one uploaded file. Someone did important work beforehand, though: they picked the right document.

In daily work the company's set has older versions of the procedure, and the form sits in a separate library. The employee wants an answer after which they open the right form. If they still have to ask a colleague which version applies, the problem remains.

In the demoIn the team's work
One file uploaded by handSeveral libraries, older versions, forms in other places
An administrator's accountEmployees' accounts with different access
A document current by definitionProcedures change every quarter
Questions prepared for the demoQuestions the documents do not answer

Putting a link in a procedure does not mean the tool will read the target document. In its documentation of SharePoint sources in Copilot Studio, Microsoft describes search as covering the registered location and its subfolders. Other folders and sites need separate registration.

What raises the price of an AI assistant

What the quote depends on
  • Documents in one place, one group of users

    configuring a ready tool

    from €1,150

  • Several libraries and formats, scans and tables included

    your own app

    from €3,000

  • Departments with different access to documents

    permissions checked on accounts

    included in the app price

  • Conflicting versions of procedures

    sorting out sources with an owner

    settled in the test

  • The assistant should submit requests in systems

    an AI agent

    from €3,000

Search quality can be measured. According to Anthropic (2024), combining contextual embeddings with BM25 search cut failed retrievals by 49%, and with reranking by 67%. That is a test result on sets of code and publications. On your documents, a test on the team's questions is what counts.

Employees' access is part of the scope

Two people can open the same assistant and have different access to documents. In SharePoint agents, Microsoft separates access to the agent from access to its sources. Opening the assistant gives an employee no content they have no permission for.

That is why we test on the accounts of future users. If the current permissions are unclear, sorting them out is sometimes a separate task, which we price before the build.

What you pay for after launch

The assistant's running costs
  • Models and search, depending on the number of questions
  • Hosting and infrastructure
  • Support after launch, priced by scope
  • The time of the document owner who publishes new versions
  • Reviewing answers that employees flagged as wrong

Ask the supplier when a changed procedure will show up in the answers and how you will check it. An outside supplier cannot decide on its own which company procedure applies. We describe this split of work in the article on keeping company AI knowledge current.

How to compare two offers

Give both suppliers the same task: an employee asks how to request a purchase and gets the current procedure with the form. One offer may cover files uploaded for the demo. The other a connection to the libraries, users' access and handling of changes. You cannot see that difference from how the chat looks.

Compare offers for the same period and the same group of employees. The choice between a ready tool and your own app is described in the comparison of an off-the-shelf platform and your own knowledge base. If the assistant should also take actions, see how much an AI agent costs.

Worked example · Scenario

How we count the payback: the team's questions to documents

We run the same count in the free analysis: how many questions the team asks colleagues and administration today, how long it takes and what an hour of work costs.

€3,723

a month for finding answers to 800 questions in documents

Payback: 1 mo.

Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

When an off-the-shelf tool does not fit, we build your own.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • How much does an AI assistant for a company cost?

    At Syntalith your own AI assistant for company documents costs from €3,000 net, usually up to €7,000 net. The build takes 4 to 10 weeks. If the documents are in one place and the permissions work, ChatGPT or Claude for the team from €1,150 net is sometimes enough.

  • What raises the price of an AI assistant?

    The number of sources and their formats, employees' different permissions, conflicting document versions and the need to work in a tool whose ready feature cannot handle it. We check each of these points in a test before the quote.

  • How much does maintaining an AI assistant cost?

    We price maintenance separately, by the scope of support. Also add models and hosting to the budget, and the time of the person in the company who updates the documents.

  • Will the assistant show an employee a document they have no access to?

    It should not. In the test we check the answers on the accounts of future users, including a person with limited access. A demo on an administrator's account does not answer this question.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.