Quality report: the result together with the sample size
The system joins inspection results with the sample size and the batch hold status, and every measure has a definition and a source. The quality manager approves.
Automation, paid once
from €3,000 net
Test on your process: €0
You pay 50% after acceptance
How much does quality report automation cost, and when does it pay back?
Short answer
Quality report automation costs from €3,000 net. In our scenario it pays back in 1.9 months. Today, 12 h a week of report preparation costs €1,815 a month. With the system, the same work costs €272. Definitions of measures and batch decisions stay with quality. The system calculates results with the sample and the source. The test on your process is free.
Statistics
Reports and AI statistics 2025
−95%
According to Anthropic (2025), compiling information from reports with AI takes an estimated 95% less time.
The team gets back about 44 hours of work a month, or 6 working days, and the company €18,516 a year. We count after the time a person spends checking.
12 h a week × 4.33 weeks = 52.0 h × €34.90 = €1,815 a month. With the system, a person checks the output in 15% of the old time (€272) and the model costs about €0.0002 per commentary. That leaves €272. The saving is €1,543 a month, so €3,000 pays back in 1.9 months.
Assumptions: 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.
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%
the system sends the answers itself, without human typing
time from the arrival of the e-mail to the ready response (median)
30 s
time from the arrival of the e-mail to the ready response (median)
e-mails that require a response receive a ready-made draft
100%
e-mails that require a response receive a ready-made draft
less work for every 1000 answers (estimate)
47 h
less work for every 1000 answers (estimate)
Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.
It builds the report from ERP, CRM and controlling-file exports and gives the source of every figure. A figure without a source stops the commentary before publication. A commentary with checks costs about €0.0002.
“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.”
You choose the test cases. We anonymise them on request.
They stay in the EU and we delete them after the test.
We sign the NDA and the data processing agreement before we receive anything.
After acceptance you keep the code, the test set and the documentation. You pay for licences and model usage directly to the provider.
Questions
How much does automating this report cost?
From €3,000 net, paid once. After the 5-day test the build takes 2 to 6 weeks. You get a fixed price before the contract: 50% on signing and 50% after acceptance on your own reports.
Does the system release or hold batches?
No. It shows the hold status and the results with the sample. The quality manager makes the decisions.
When does it not pay off?
When the report takes less than 2 h a week, the payback takes more than a year. Then it is better to start with ChatGPT or Claude for the team, from €1,150 net.
What do we need to prepare?
The last 3 quality reports, exports of inspection results and the definitions of the measures you use.
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.
Claude 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.
customer service
