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AI counterparty checks and AML duties: where they differ

Short answer

AI can collect a counterparty's data from agreed sources and prepare a card for review, and checking the data does not by itself fulfil AML duties. Those apply to obliged entities, and a person makes the risk assessment and the decision. At Syntalith the automation costs from €3,000 net, and with 300 counterparty checks a month at 15 minutes each it pays back in 1.8 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
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

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

Counterparty checks: statistics 2026

1.8 mo.

payback of a €3,000 automation at 300 counterparty checks a month: €2,618 of work today, €930 with checking and the model. Scenario.

Figures checked: 22 October 2026

Two different orders under the name „company check”

The purchasing team needs a correct identifier for the counterparty and a documented check of its data in an agreed source. An obliged entity needs more: Poland's Ministry of Finance links AML duties to the list of obliged entities, to identifying and assessing risk, and to customer due diligence measures. These are two different orders, and automating data collection does not turn the first into the second.

The model searches for a company by name and finds an entity with a similar-sounding name. It returns „company active”, although the result concerns another company. A second case: the source is unavailable, and a report with no warnings looks like the result of a check. No result does not mean a positive check: the system records the query error and shows what was not established.

Element of the resultThe acceptance question
Identity of the entitywere the agreed identifiers used, beyond a similar name
Origin of the informationcan you go back to the source and the time of the check
Gap or contradictionis it visible what was not established and why
Draft summarydoes every statement have a basis
The employee's decisionis it kept apart from the data the system fetched
The test set
  • Similar company names and different countries of registration
  • Data changed after the last check
  • An unavailable source and a query error
  • The expected finding written down before the test

What automated counterparty checks cost and when they pay back

Scenario: 300 counterparty checks a month
Today
300 counterparty checks × 15 min = 75 h (€2,618)
With the system, a person checks the output in 35% of the time
€916
Model, 3 calls per case, Claude Sonnet 5.5
€14
Cost of one case
€8.73 today, €3.10 with the system
Saving
€1,688 a month

Payback of €3,000

1.8 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: 6,000 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 each case: searching, reading, writing and handing over. What remains is the time to check the result, 35% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

Where the automation supplier's scope ends

The person responsible for AML, with a lawyer, sets how the rules apply, which information is required and when decisions are made. The technical supplier prepares the data collection, the card and the review workflow. If the procedure does not describe what to do with conflicting data, it needs to be made precise first: the automation will show the contradiction and will not settle it. Access to registers, terms of use and the retention period for results are checked in the specific project.

What to choose for which check
  • A few new counterparties a month

    a manual check in the registers

    no build

  • Checking data in purchasing

    a counterparty card with data from the sources

    an automation

  • An obliged entity with hundreds of clients

    data collection for the AML procedure with a person's decision

    from €3,000

Where to start

The first test covers a data card for one clearly defined action, with sources the company names and a person who accepts the result. We build this kind of system as part of our AI automations. For the free process review, a description of one case from the last few weeks and the tools it went through is enough. You do not need to send confidential documents, and you receive a written plan within 2 working days.

Worked example · Scenario

How we count the payback: counterparty checks

We run the same count for your process in the free process review.

€1,047

a month for checking 60 counterparties by hand

Payback: 3.4 mo.

30 minutes to check a counterparty and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. We measured the model cost of the simpler profile, €0.009, in our counterparty profile system, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026. Avoided losses are a scenario: we assume that 1 in 800 counterparties checked is a company that would not have paid, and that the check protects €6,900 on average. In the review we calculate it on your receivables.

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 ↗

Start with the process that takes the most time each week.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 21, 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 →

AI implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • Does an AI counterparty check meet AML duties?

    Not by itself. AML duties apply to obliged entities and cover risk assessment and customer due diligence measures. AI can collect the data for review.

  • What if a register does not respond?

    The system records the query error and shows what was not established. No result does not mean a positive check.

  • How much does such an automation cost?

    At Syntalith from €3,000 net. With 300 counterparty checks a month at 15 minutes each, the payback is 1.8 months. We agree integrations and maintenance before the quote, and the model costs €14 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
You buy accounts directly from OpenAI or Anthropic and receive an invoice from them. We do not add anything to the license.
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.