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What a running AI agent actually costs

Short answer

A running AI agent has a build cost from €3,000 net and a monthly bill for its work. The model is often the smallest item: at 1,500 cases with 3 calls each on Claude Sonnet 5.5 it costs about €48 a month. People's time for checking and exceptions, servers, action logs and maintenance cost more.

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 agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 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

AI running costs: statistics 2026

€48

a month for the model at 1,500 cases with 3 calls each on Claude Sonnet 5.5. People checking the output cost €785. Scenario.

Figures checked: 22 October 2026

Three amounts to keep apart

Type of spendingWhat it coversWhen it arises
BuildProcess description, application, integrations, tests, launchOnce, from €3,000
The system's workModels, tools, servers, database, storageEvery month, by usage
Operating responsibilityChecking, corrections, data, security, maintenanceOngoing, by process

The model fee is not the price of the system. If the agent sorts email, pulls data from the CRM, prepares a draft and hands exceptions to an employee, each of these steps changes the bill.

A full month of one agent

Scenario: an agent handles 1,500 cases a month
Today
1,500 cases × 6 min = 150 h (€5,235)
With the system a person checks the output in 15% of the time
€785
Model, 3 calls per case, Claude Sonnet 5.5
€48
Cost of one case
€3.49 today, €0.56 with the system
Saving
€4,402 a month

Payback of €3,000

0.7 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: 3,000 input tokens and 600 output tokens per call at Anthropic's rates, $54 a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

In this scenario the model is a small part of the cost with the system. The rest is people's time spent checking the output. That is why a better agent saves more money than a cheaper model.

The model and API calls

Vendors set separate rates for input and output, and charge separately for reading from and writing to the prompt cache. One case usually needs several calls. The Claude price list and the OpenAI price list give rates per million tokens.

The model at 1,500 cases with 3 calls each, a month

3,000 input tokens and 600 output tokens per call, no prompt cache. Anthropic's rates in dollars, at the ECB rate of 1.1205 USD per euro.

Claude Haiku 5.5€2.41 ($2.70)
Claude Sonnet 5.5€48 ($54)
Claude Opus 5.5€96 ($108)

Źródło: Anthropic, API pricing (2026) ↗

An employee's chat subscription is a separate product. An application that calls the model in the background uses API billing.

The application, servers and logs

An agent needs code that takes in a case, keeps its state and checks the output before writing it into the company's system. Reading a procedure and writing a draft carry less risk than changing customer data, sending a message or making a payment, which need extra safeguards. A small process runs on a single service. A larger one needs a database, a case queue, backups and a separate test environment. With n8n, queue mode needs separate processes and Redis.

After launch you must be able to replay a case: the input, the model version, the tool chosen, the write and the point where a person decided.

People's time

Measure separately
  • Cases finished automatically
  • Cases handed to a person
  • Cases rejected for missing data
  • Corrections before the output is sent
  • Errors that need a rerun

If these items are missing from the spreadsheet, the cost looks smaller only because someone does the work without a line in the budget.

How to lower the monthly bill

Better quality gives the most: every case a person does not have to correct saves more than switching to a cheaper model. The second step is splitting work between models, with simple steps on a cheaper model and hard cases on a stronger one. The third is the prompt cache for repeated parts of instructions and documents. On Claude Sonnet 5.5 a cache read costs $0.10 per million input tokens. A normal input token costs $2 per million, twenty times more.

Who runs the environment

Two ways to run it
  • Your own infrastructure

    servers and on-call

    The company is responsible for backups, updates, secrets and security. For companies with a technical team.

  • Care from the contractor

    by scope

    Monitoring, fixes and changes priced separately from the build. The maintenance page describes it.

The scope of care is described on the AI system maintenance page, and the build prices in the guide how much an AI agent costs.

Worked example · Scenario

How we count the payback: a running system

In the free process review we count a full month: the model, the servers and people's time.

€5,817

a month for answering 2,000 customer emails

Payback: 0.6 mo.

5 minutes to read an email and write a reply 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: Claude Sonnet 5.5, about 3,000 + 600 tokens per message with a draft reply, 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 ↗

See the agent on your own cases before you commit.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 agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

Questions

  • How much does an AI agent cost a month?

    At 1,500 cases with 3 calls each on Claude Sonnet 5.5, the model alone costs about €48. On top come servers and a database, action logs, maintenance and people's time for checking and exceptions, which in this scenario is about €785.

  • What makes up the bill of a running agent?

    The model and API calls, the application and its connections to your systems, servers, the database and files, action logs and quality control, and people's time: checking, corrections, exceptions and updating procedures.

  • Does a ChatGPT subscription cover the cost of an agent?

    No. An application that calls the model in the background uses API billing or the platform's price list. An employee's chat subscription is a separate product.

  • How do we avoid underestimating the cost of an agent?

    Measure separately the cases finished automatically, handed to a person, rejected for missing data, corrected before sending and rerun after an error. Without these items the cost looks smaller, because someone does work that has no line in the budget.

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.