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The client's file itself shows what is missing.

Documents from the client arrive several times, over many days. The system recognizes each document, puts it in the appropriate folder and checks whether the set is correct. The employee sees shortcomings and contradictions immediately.

Tested on sample data, without customer data.

cases handled across several days of intake
12
mismatches between documents found in the test
4
documents in the folder checked automatically
7

Syntalith test results on test data. Last checked: October 22, 2026.

After a few days, no one knew what else was missing.

Evidence, power of attorney and declarations come separately. The gaps lived in emails and in the employee's memory. Contradictory data emerged only when reading.

  1. 01

    The right folder

    Each document goes to its own case.

  2. 02

    List of deficiencies

    You can see immediately what is missing and what is overdue.

  3. 03

    Contradictions

    Different data in two documents is marked in both.

From document to full folder in four steps.

  1. 01

    The document arrives

    The system recognizes its type and case.

  2. 02

    The folder is updating

    The status of the case changes with each influence.

  3. 03

    Set inspection

    Missing times, deadlines and conflicting data are immediately visible.

  4. 04

    The employee decides

    Accepts the client's request and proceeds with the matter.

What the system does and what stays with the employee.

Makes a system

  • Recognizes documents and puts them in folders
  • Keeps an eye on deficiencies and deadlines
  • Prepares a request to the client regarding specific deficiencies

The employee decides

  • Explanation of the contradiction
  • Sending a request to the customer
  • Customer reception

Statistics: completing customer documents with AI in 2026.

According to the Syntalith test (2026), the system detected 4 inconsistencies between documents in 12 cases.

Reading one document by AI cost €0.00089 in the test.

The system did not mark as complete any case that was missing something.

Scenario: 220 folders per month

Documents
220 files × 7 documents = 1,540 documents
Reading by AI
1,540 × 0.00089 PLN = 1.37 PLN
He stays with people
contradictions and the decision to accept the client

Respect. Assumption: 220 folders per month is an example number. We measure the team's working time after launch at the client.

What stays with the employee.

Customer reception
The system doesn't approve anything itself.
Request to the client
The sketch is waiting for approval. Nothing comes out automatically.
Risk assessment
The system does not evaluate the client and does not check sanction lists.

This is what an employee's job looks like.

Screens from the test on sample data.

  1. Otwórz teczkę klienta
    01Otwórz teczkę klientaStan sprawy jest w jednym miejscu.
  2. Wyjaśnij niezgodności
    02Wyjaśnij niezgodnościSprzeczność jest pokazana w treści dokumentów.
  3. Zaakceptuj prośbę do klienta
    03Zaakceptuj prośbę do klientaKlient dostaje jedną, konkretną prośbę.

Is your team also chasing clients for missing documents?

Describe your process to us. We will show the prototype on your process and your data. The analysis and prototype cost €0, and you know the fixed implementation price before the contract.

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.