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Automating supplier bank detail change reviews

Short answer

Supplier bank detail change automation takes a request for a new account through the company's rules: independent confirmation by another channel, a decision by an authorised person and the change in the supplier record. A correct-looking account number does not prove the supplier really asked for the change. At Syntalith the automation costs from €3,000 net, and at 100 supplier data changes a month of 30 minutes each it pays back in 2.6 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
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 weeks
free prototype on your cases
€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

Payment fraud: statistics 2026

2.6 mo.

payback of a €3,000 automation at 100 supplier data changes a month: €1,745 of work today, €612 with checking and the model. Scenario.

Figures checked: 22 October 2026

The request and its confirmation need different sources

A supplier sends an email asking to change the bank account for payments. An employee forwards it to finance, and a few days later someone else asks whether the details have been changed and whether anyone called the supplier. The email looks right, with a logo and a signature, but this is exactly the scenario fraudsters use. The FBI recommends confirming payment changes through a channel other than the one the request came by.

The employee follows the company method: a call to a number known from earlier work together, never one taken from the email. They record in the tool how and when they confirmed, and pass the case to the person who decides. The original message stays with the case. A deputy sees the last agreement and the next step. Approving the request and updating the supplier record are separate actions, so the employee closing the case sees a link to the change made in the system.

The path of a request to change a bank account
  1. 01Requestemail or portal, the original kept
  2. 02Confirmationan independent channel under the company's rules, with a date and a person
  3. 03Decisionan authorised person approves or rejects
  4. 04Changethe supplier record is changed by someone with access
  5. 05Closurea link to the change made, on the case

A model can read from a free-form message what the request is about. Its reading does not prove who the sender is and always has to be compared with the original.

What bank detail change automation costs and when it pays back

Scenario: 100 supplier data changes a month
Today
100 supplier data changes × 30 min = 50 h (€1,745)
With the system, a person checks the output in 35% of the time
€611
Model, 1 call per case, Claude Sonnet 5.5
€0.92
Cost of one case
€17.45 today, €6.12 with the system
Saving
€1,133 a month

Payback of €3,000

2.6 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: 3,000 input tokens and 400 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 things on. What stays is the time to check the result, 35% of today's work in this 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.

Here the time count comes second. One transfer to a fraudster's account can cost more than the whole system, so the main measure of the trial is the number of changes that went through without a recorded independent confirmation. The target is zero.

Check the supplier change workflow in your current system

If your finance system has a review of supplier record changes and lets you attach the confirming material, configuring it is enough. Automation makes sense when requests arrive by email or through a portal and the people checking them record the result somewhere else. The company decides who sees the full account details, who confirms and who makes the change. Collecting a supplier's documents more broadly is covered by counterparty verification.

What to choose for data changes
  • The system reviews record changes with attachments

    configuration and rules

    no build

  • A few changes a quarter

    a procedure and a checklist

    no build

  • Requests by email and portal, several departments

    workflow automation with confirmation

    from €3,000

Start with an actual handoff

The first scope covers one request channel and the current way of approving. You provide the rules, the people responsible and the scope of access. We build this kind of system as part of our AI automations. For the free analysis, 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 get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: counterparty verification

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

€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 ↗

This process can go on its own. You will check this on your cases before you pay.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 →

AI automations

This process can go on its own. You will check this on your cases before you pay.

The system takes over repetitive work from emails, documents and spreadsheets, and hands over uncertain matters to a human. A prototype for 20-100 cases that your team has already handled costs €0. You pay the other half of the price when the system reaches your goal.

See AI automations →
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 weeks
free prototype on your cases
€0

Questions

  • How do you change a supplier's bank account safely?

    Confirm the request through a channel other than the one it came by, for example a call to a known number, record the confirmation, get a decision from an authorised person, and only then change the supplier record.

  • Will AI recognise a fake request to change an account?

    You cannot rely on it. AI can help read the content of the request, but authenticity is confirmed by independent contact with the supplier under the company's rules.

  • How much does this automation cost?

    At Syntalith from €3,000 net. At 100 supplier data changes a month of 30 minutes each, the payback is 2.6 months. We agree integrations and maintenance before the quote, and the model costs about €1 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.