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An AI knowledge base for factory quality teams

Short answer

An AI knowledge base in a quality department answers which drawing revision to open for a given order and shows the change record it follows from. The inspector no longer collects this from several people, and the decision to accept the product stays with those responsible. At Syntalith the app costs from €3,000 net. At 400 checks a month with 10 minutes of searching each, it pays back in 1.5 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 per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€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

Manufacturing and AI: statistics 2026

1.5 mo.

payback of a €3,000 app at 400 document revision checks a month: €2,327 of searching today, €355 with the app. Scenario.

Figures checked: 22 October 2026

Two drawings for the same product

The order names the approved drawing at revision 2. The library also holds an approved revision 3, but the change record says it applies only to later orders. The inspector wants to read the finish requirement from the document that covers their order.

Finding the newest file alone would lead to checking the product against the wrong requirement. The answer therefore has to follow from the order and the change record, because the date of the file in the library settles nothing here. The inspector reads the drawing named and checks the product by the plant's rules.

Where the answer lives today

Walk the path with the inspector. You may find that the order already leads to the approved drawing and the problem is a link that is hard to find. In its documentation of engineering versions in Dynamics 365, Microsoft describes documents assigned to product versions and their effective dates.

System or app
  • The order leads to the approved drawing

    better access in the current system

    no new app

  • Product versions kept in the ERP

    configure engineering versions

    configuration

  • Order in the ERP, file in the library, change in an email

    an AI app that joins the sources

    from €3,000

What a quality knowledge base costs and when it pays back

Scenario: 400 document revision checks a month
Today
400 checks × 10 min = 66.7 h (€2,327)
With the system, a person checks the output in 15% of the time
€349
Model, 1 call per case, Claude Sonnet 5.5
€5.97
Cost of one case
€5.82 today, €0.89 with the system
Saving
€1,972 a month

Payback of €3,000

1.5 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 500 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

In a plant that records the link between revision and order differently, the answer has to use that record. That is why, before the quote, we walk through one real case with the quality department: where the inspector starts, which documents they open and whom they ask. The result shows whether better access in the current system is enough or several sources need joining.

When the documents leave a question open

A gap in the documentation
  1. 01DescriptionThe assistant shows that the change record does not say which orders the new revision covers.
  2. 02QuestionThe inspector sends the designer a specific question with both drawings and the order.
  3. 03RecordThe explanation is filed with the order or the drawing.
  4. 04Next timeThe next inspector finds the decision together with the document.

The date a file was uploaded does not replace a decision on the scope of a change. Customer material may carry different access limits, so the assistant uses only documents the employee may read, and a search for a similar product does not reveal other customers' drawings. Sharing documents with recipients outside the plant is covered in the post about a quality document portal.

The first scope is one product family where the team often explains revision differences. Invite the person who maintains the documentation and an inspector who uses it every day to the assessment. The first checks whether the answer reflects the decisions, the second whether it leads to the requirement. The scope is described on the private ChatGPT for your company page, and we test the reading of drawings separately on the plant's own material.

Worked example · Scenario

How we count the payback: answers from company documents

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

€3,723

a month for finding answers to 800 questions in documents

Payback: 1 mo.

Our assumptions are 8 minutes to find an answer in documents or ask a colleague, 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 from documents, 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 ↗

When an off-the-shelf tool does not fit, we build your own.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 →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • How does an AI knowledge base help a quality department?

    It links the order to the right drawing revision and the change record. The inspector gets an answer with links to the order, the drawing and the decision, without asking several people.

  • What if the documents contradict each other?

    The assistant describes the gap, for example that the change record does not say which orders the new revision covers. The inspector sends a specific question to the person responsible for the documentation and records the answer with the order.

  • How much does a knowledge base for a quality department cost?

    At Syntalith an AI app on documents costs from €3,000 net. At 400 checks a month of 10 minutes each, the payback is 1.5 months.

  • Does the ERP system not keep revisions already?

    Often it does. Dynamics 365 Supply Chain Management describes documents assigned to product versions and their effective dates. If the order leads straight to the approved drawing, improving access in the current system is enough.

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.