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Sending a quality certificate: is it for this batch?

Short answer

Quality certificate automation matches documents to the batches that actually left the warehouse and to the recipient on the current order. An employee gets a package to review, sees any missing certificates, and after dispatch there is a record of what was sent to whom. At Syntalith the automation costs from €3,000 net, and at 400 shipments with certificates a month of 8 minutes each it pays back in 1.9 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

Quality and documents: statistics 2026

1.9 mo.

payback of a €3,000 automation at 400 shipments with certificates a month: €1,861 of work today, €281 with checking and the model. Scenario.

Figures checked: 22 October 2026

One shipment contains two batches

A customer receives the same product from two batches in one shipment, and both have approved certificates. The employee, though, picked the document from the previous delivery of that product, because with regular deliveries people go back to the last email or to a folder named after the product. The right choice needs to know what actually left the warehouse.

In a useful view, the employee opens the shipment and sees the IDs of both batches, with the right certificate next to each. They compare the marking in the document with the dispatch record, and the previous attachment matches neither of the batches sent. Next to it they have the recipient and the agreed place to deliver the documents, because the address from an earlier delivery may be wrong for the current order.

A document package for a shipment
  1. 01Dispatchthe batches that left the warehouse
  2. 02Certificatesthe approved documents for each batch
  3. 03Recipientthe right one for the current order
  4. 04Missinga batch without a certificate goes to the quality team
  5. 05Deliverya record of the recipient, the date and the files
Quality records and the history of what was sent
  • What was sent to whom with each delivery
  • A corrected certificate, with a note about the change
  • A new version without deleting the history of the earlier delivery
  • An answer for a customer who holds an older file

What certificate automation costs and when it pays back

Scenario: 400 shipments with certificates a month
Today
400 shipments with certificates × 8 min = 53.3 h (€1,861)
With the system, a person checks the output in 15% of the time
€279
Model, 1 call per case, Claude Sonnet 5.5
€1.84
Cost of one case
€4.65 today, €0.70 with the system
Saving
€1,580 a month

Payback of €3,000

1.9 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: 1,500 input tokens and 200 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, 15% 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.

The scenario assumes 400 shipments a month with 8 minutes of finding and checking documents each. A batch mix-up costs more than that time, because it needs a correction at the customer's end.

How much can your current system prepare

Warehouse and quality systems often handle certificates of analysis matched to the customer and the batch. If your system already picks the right documents for a batch, the project focuses on handing them to customer service and recording the package that was sent. When the certificates sit in a separate repository, it has to be connected with the dispatch data. Matching a document by product, batch and customer can rest on plain rules. AI makes sense for customer requests written in different ways, which have to be read and assigned to a delivery. A portal where customers download documents themselves is covered in the post about a quality document portal.

System, connection or portal
  • The system matches certificates to batches

    handover to customer service and a record of the package

    configuration

  • Certificates in a separate repository

    automation that links dispatch with the documents

    from €3,000

  • Customers want to download documents themselves

    a quality document portal

    €3,000–7,000

Where to start with quality certificate automation

The first scope covers one product group and the flow of shipments. The warehouse names the source of dispatched batches, quality names the approved documents, and customer service explains how the recipient is set. Linking evidence to batches for complaints is described on the AI in quality control page. 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: quality documents

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

€2,792

a month for collecting the evidence for 80 complaints

Payback: 1.3 mo.

1 hour to collect the evidence and draft a complaint report 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. Model cost: reading a photo at €0.0042 (0.004734 USD), measured in our field documentation system, plus the description (Claude Sonnet 5.5, about 2,000 + 400 tokens), 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 ↗

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 send customers the right quality certificates?

    Match the certificate to the batch from the warehouse dispatch record, and the recipient to the current order. A batch without a certificate goes to the quality team, and after dispatch there is a record of what was sent.

  • Do you need AI to match certificates?

    No, when the product, the batch and the customer are known: rules are enough. AI helps read customer requests written in different ways and assign them to a delivery.

  • How much does this automation cost?

    At Syntalith from €3,000 net. At 400 shipments with certificates a month of 8 minutes each, the payback is 1.9 months. We agree integrations and maintenance before the quote, and the model costs about €2 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.