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One stoppage, two entries in the production report

Short answer

Downtime report automation links an operator's note to the stop recorded by the machine when both describe the same event, and keeps that link at the next import. In the example, a report of 100 rows shows 85 real events after reconciliation. At Syntalith the automation costs from €3,000 net, and at 2,000 downtime entries a month of 2 minutes 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 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

Manufacturing and automation: statistics 2026

1.5 mo.

payback of a €3,000 automation at 2,000 downtime entries a month: €2,327 of work today, €358 with checking and the model. Scenario.

Figures checked: 22 October 2026

The note describes a stop already in the machine log

The machine log holds the start and end of a stop, and later the operator adds information about the same event in a separate form. Both entries reach the report as separate rows and raise the number of stoppages. The manager deletes the row by hand in the spreadsheet, but at the next refresh the note comes back as a separate stoppage.

If the note has a confirmed reference to the machine and the event, it is attached to the right entry: the report shows one stoppage with the operator's description and links to both sources. When there is no clear link, the note waits for the manager's decision. Once the correction is approved, the manager sees which two records were counted separately before, and the link stays at the next import.

Example: stoppage counts after reconciling records
Rows in the report
100
Notes describing events the machines already recorded
15
Real events
100 − 15 = 85
Overcount of events
15 ÷ 85 = 17.65%

No more explaining at each import: 15 × 4 min

1 h per report

Hypothetical numbers. Each of the 15 notes concerns a separate event. Correcting the report does not change the physical duration of the stoppage.

Duration and description need supporting records
  • The source of the start and end of a stoppage, agreed by the team
  • Differences in times between the records are visible
  • The note explains what happened, and the cause may remain unknown
  • New and changed entries checked at every import

What downtime report automation costs and when it pays back

Scenario: 2,000 downtime entries a month
Today
2,000 downtime entries × 2 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
€8.95
Cost of one case
€1.16 today, €0.18 with the system
Saving
€1,969 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: 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 payback scenario assumes 2,000 downtime entries a month with 2 minutes of reconciling each. The numbers in the example are hypothetical, and the arithmetic is the same for every report.

Check the report in your current production system

Production systems record machine activity separately from notes: the machine activity record in Tulip keeps the state and the time data apart. If your system lets an operator link a note to a machine event when saving it, configuring the operator form is enough. Automation makes sense when notes and logs reach the report from different sources and the link has to be rebuilt at every import. The boundary between IT and control systems is described in the post about automation in industry, and grouping event descriptions in fine-tuning for maintenance events.

Form, automation or model
  • The note can name the event when it is saved

    configure the operator form

    no build

  • Logs and notes from different sources

    automation that keeps the links at import

    from €3,000

  • Descriptions written in different ways, to be grouped

    a model with assessed examples

    priced after the analysis

Define the scope around a report your team corrects today

The first scope covers one line and the report for the shift meeting. The reporting scope is described on the reporting in maintenance 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: production reports

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

€1,815

a month for 12 h a week of report preparation

Payback: 1.9 mo.

The hours for each firm size 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 in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

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

  • Why does the report show more stoppages than there were?

    Because the operator's note and the machine's record of the same event enter the report as two rows. In the example, 15 such notes inflate the number of events by 17.65%.

  • Does linking the entries change the downtime duration?

    No. The correction concerns the number of events in the report, and the duration comes from the agreed source of the start and end.

  • How much does this automation cost?

    At Syntalith from €3,000 net. At 2,000 downtime entries a month of 2 minutes each, the payback is 1.5 months. We agree integrations and maintenance before the quote, and the model costs about €9 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.