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AI agent maintenance. A named engineer and a monthly report.

A named engineer looks after your production system. Each month, they review its activity, investigate unusual cases, improve the rules and report on response times and the cost per case.

is responsible for the system and response time specified in the contract
1 engineer
activity history review, corrections and report
every month
determined for each project, before the contract
fixed price

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Example: cleaning up the CRM
Agent · ready

Why maintenance

After startup, the AI system needs a supervisor. Models, data and your process change.

One engineer is responsible for maintenance. Every month, it reviews the history of activities, corrects the rules after detecting a problem and sends a report: what the system did, what it passed on to the human and how much it cost.

30 s

time in foap.com from the customer's e-mail to the ready response (median, October 2026).

How foap.com customer service works →

How it works

One engineer. Monthly report.

  1. One engineer is responsible for the system.

    He knows your process from construction and responds within the time specified in the contract.

  2. Monthly review and report.

    Action history, exceptions, model cost and corrections in one document for management.

  3. The new model only after the test.

    We check the new model based on your concerns: whether it works as well and how much it costs.

Statistics: What do we measure in an AI system in manufacturing?

In production at foap.com, the system sends 95% of responses to customers itself. Half of the responses are ready in less than 30 seconds after the email arrives.

According to production data from foap.com (October 2026), the finished draft receives 100% of emails that require a response.

For every 1,000 responses, the foap.com team works 47 hours less (estimate: 3 minutes per handwritten response).

The engineer checks such numbers every month and shows them in the report.

Sources: Creator email operations for foap.com

Data checked on October 25, 2026.

foap.com replies by the system itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s

What the production report shows

foap.com customer service, production data

e-mails with a ready-made response draft: 100%, replies sent without human typing: 95%

Data from foap.com production, October 20–21, 2026.

How much does AI agent maintenance cost?

Full pricing →

We set the maintenance price for each project.

It depends on the number of systems and integrations, the effect of a possible failure, the required response time and the scope of changes per month. We write down the scope, monthly price and response time in the contract before we start.

What does the price depend on?

  1. 01The number of systems and integrations under watch
  2. 02Process criticality and the required response time
  3. 03The scope of changes and engineering hours per month
  4. 04Security, consent and audit requirements

„Why should I trust you?”

Because the system is built by engineers with over 22 years of experience.

You talk to people who then write code. They have worked in large companies and built systems that operate under high traffic.

You won't spend money on a prototype that won't do anything.

First a free conversation, then a free prototype in your trial. If we don't see a return, we don't build and write it straight. You only pay for a system that makes sense.

Polish-Ukrainian team of engineers.

Artem, Przemek and Piotr studied computer science together at the Lublin University of Technology in 2017⁠–⁠2021. Artem and Serhii founded Syntalith together. They both come from Kiev and have been living in Poland for years. We build systems for Polish companies, in Polish and according to Polish law.

The band's career over the years

2017–2021: Artem, Przemek and Piotr study computer science together at the Lublin University of Technology.

Serhii Ivanchatenko7+ yearsLinkedIn ↗CRM and PLM systems for global companies
Artem Lisovtsov6+ yearsLinkedIn ↗from backend to AI architecture
Przemysław Markiewicz5+ yearsLinkedIn ↗GenAI team technical lead
Piotr Łach4 yearsLinkedIn ↗backend and RAG in high-traffic systems

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.

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

Common questions

  • Do you maintain an agent someone else built?

    Yes, provided the system has an action history and a technical owner. We begin with a short audit that identifies the required additions and a safe handover plan.
  • What exactly do you do each month?

    We review logs and alerts, investigate unusual cases and correct the rules and boundaries. The monthly report shows what the agent did, which cases it handed to a person and what we fixed. Regular reviews help us identify problems before an outage.
  • What does the monthly agent work report look like?

    The report explains the month’s work in a few pages of plain language. It shows what the agent handled, where it stopped for a person and which corrections we made. You can share it with the board or an auditor.
  • What if the agent starts making mistakes between reviews?

    Monitoring of system behavior and alerts catch unusual activity early, so we usually know about a problem before your team reports it. Response time and the scope of urgent fixes are written into your contract instead of decided ad hoc.
  • How much does AI agent maintenance cost?

    Maintenance price follows the number of systems, process criticality, and scope of change. You know the full cost before signing, and we define the scope after reviewing the data, integrations and requirements.
  • Do you track model cost, and can the bill blow up?

    Yes. The monthly report shows cost per completed case alongside completed work and cases handed to a person. Simple rules remove work that does not require AI, and we can set a monthly cost cap on request.
  • Is my data safe?

    Each client's data is isolated, only assigned engineers have access, and transmission and storage are encrypted. Personal data processing is covered by a data processing agreement (GDPR), and the environment stays the one agreed during deployment, in the EU by default.
  • Can I cancel, and what's the notice period?

    Yes. Maintenance is a monthly contract with a simple notice period written into the agreement, no multi-year lock-in. The logs, documentation and configuration are yours, so you can take the agent over yourself or hand it to another team.

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.