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Private AI: checking client requirements

Short answer

A service team that uses AI on documents from several clients needs a workspace for each client with an agreed processing route. Where the file is stored is half the answer, because the content may go to a model running somewhere else. At Syntalith an app costs from €3,000 net, and at 400 consultant questions a month of 15 minutes each it pays back in 1.2 months.

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
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€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

Client data and AI: statistics 2026

1.2 mo.

payback of a €3,000 app at 400 consultant questions a month: €3,490 of work today, €1,055 with checking and the model. Scenario.

Figures checked: 22 October 2026

The file in the right place, the query somewhere else

For one engagement the client approved processing its documents in a designated environment. A consultant uses an app that stores the files there, but a person from IT finds that the chosen model service uses global processing of queries. Pointing to a folder does not explain where the answer is computed.

IT presents this difference to the person responsible for agreements with the client, who decides whether the way of working meets the requirements. The requirement comes from what the project agreed, because the country of the client's head office does not set it on its own. Microsoft describes the deployment types of models in Foundry, separating the geography of data storage from the place where queries are processed.

A document's route in the client's workspace
  1. 01Workspacethe consultant sees which client they work for
  2. 02Extractiontext and passages in the agreed place
  3. 03Modela service that meets the project's requirement
  4. 04Storagequestions and answers kept in the client's place
  5. 05Changea new model needs a fresh comparison
What the approver should see
  • Which services receive the document's content
  • Where questions, answers and backups stay
  • Who on the tool's support side has access
  • How choosing the project leads to the right service

What it costs and when it pays back

Scenario: 400 consultant questions a month
Today
400 consultant questions × 15 min = 100.0 h (€3,490)
With the system, a person checks the output in 30% of the time
€1,047
Model, 1 call per case, Claude Sonnet 5.5
€8
Cost of one case
€8.72 today, €2.64 with the system
Saving
€2,435 a month

Payback of €3,000

1.2 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 8,000 input tokens and 600 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and passing it on. What remains is the time to check the result, 30% of today's work in the scenario. Before the quote we time both on 20 to 100 cases the team has already handled, in a €0 test that takes 5 working days.

The scenario assumes 400 consultant questions a month about clients' documents, which they answer in 15 minutes today. We count checking the answer against the source as 30% of today's time.

A managed service or a separate environment

If a managed service offers a way of processing that meets the approved requirements, choosing it and connecting it to the app is enough. Not every difference between clients needs a separate server. A separate private environment makes sense when the requirements and the number of consultants working at once justify it. After launch someone has to follow changes to the services, because an update can change the processing route. Passing documents and keeping clients' materials apart is covered in the article on local AI for NDA-bound projects.

Service, workspaces or server
  • All clients accept one service

    choosing the service and configuring it

    no build

  • Different requirements that services meet

    an app with client workspaces

    from €3,000

  • Processing must avoid the model provider

    a private environment with a local model

    priced after an analysis

Where to start

The first scope starts with a description of a document's route, from fetching the file to saving the answer, compared with the requirements. For the call, bring one client requirement that is hard to trace today, without confidential content. We build such a rollout as part of AI apps. For the free analysis, a description of one case from recent weeks and of the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: work on clients' documents

We run the same count for your team in the free analysis.

€4,188

a month for the work on 600 questions

EU cloud version payback: 0.8 mo.

Our assumptions are 12 minutes to find an answer in the documentation, 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 in the EU cloud version, at the ECB rate of 1.1205 USD per euro on 22 October 2026. We count the payback for an app with a model in the EU cloud (from €3,000 net). We price the model on your server after a call, and the cost of people's work stays the same.

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 ↗

A model on your server or in the cloud in the EU, proven on your tasks.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 →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

Questions

  • How do you use AI on documents from clients with different requirements?

    Each client gets a workspace with an agreed processing route: where text is extracted, which model service is used and where questions and answers are stored. The consultant sees which client they are working for.

  • Is the storage region of the files enough?

    No. A model service may process queries in a different place from where it stores files, so you check the deployment type and compare it with the project's requirement.

  • How much does such an app cost?

    At Syntalith from €3,000 net. At 400 consultant questions a month of 15 minutes each, the payback is 1.2 months. We agree integrations and maintenance before the quote, and the model costs €8 a month.

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.