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How much does an AI agent cost? From €3,000

Short answer

At Syntalith, an AI agent for one process costs from €3,000 net, and larger rollouts usually up to €17,500 net. The build takes 6 to 16 weeks. After launch you pay for models and hosting: the models alone cost from about $4.50 to $450 a month at 10,000 calls. You get a fixed price before the contract and pay half after acceptance.

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 · 7 min read

Example: the morning request inbox
Agent · ready

Statistics

AI costs in companies: statistics 2026

2 mo.

the payback of a €3,000 agent at 1,000 invoices a month: the manual work costs €1,745, and with the system €266, checking and the model included. Scenario.

Figures checked: 22 October 2026

How much does an AI agent cost? Prices by stage

At Syntalith, an AI agent for one process costs from €3,000 net. Larger rollouts usually fall between €3,000 and €17,500 net. You pay once for the built system, and AI models and hosting are billed separately. The first two steps cost €0, so you know the cost of the manual work before you sign a contract.

Syntalith AI agent pricing, net prices
  1. Process analysis

    30 min, written plan within 2 working days

    €0

    An engineer counts the cost of the manual work and shows what to do first.

  2. Test on your process

    5 working days

    €0

    The system runs on 20 to 100 cases your team has already handled. We compare the result with the team's work.

  3. Audit

    5 working days

    from €600

    A process map, the architecture and a fixed price for the build. If you order the build, we credit the fee towards it.

  4. AI automation

    2–6 weeks

    from €3,000

    A process with fixed steps: inbox, documents, CRM, reports.

  5. AI app

    4–10 weeks

    €3,000–7,000

    A tool for the team, for example search across documents that names the source.

  6. AI agent

    6–16 weeks

    €3,000–17,500

    Does the routine steps on its own, hands exceptions to a person and records every action in a history.

Maintenance after launch is priced separately, by the scope of support. All price steps are on the AI implementation pricing page.

What the price of an agent covers

The price covers the whole road from a description of the work to a running system. The code is only one of the items.

What we do for this amount
  1. 01Description of today's workThe inputs, the steps, the exceptions, the person responsible and a result that can be checked.
  2. 02Connections to systemsEmail, documents, CRM and the other tools the team already uses.
  3. 03Access and approval rulesWhat the agent may read, what it writes on its own and where it waits for a person's decision.
  4. 04Tests on the team's casesA test set built from real types of cases. You accept the system on it.
  5. 05Action history and error handlingEvery step of the agent is recorded. After a failure the system stops and reports the problem.
  6. 06Handover to the teamDocumentation and preparation of the people who will take over the exceptions.

Most projects do not need their own model. The data, the integrations and safe error handling usually take the most work.

What decides whether an agent costs €3,000 or €17,500

Five factors push the price towards the top of the range. Each row shows what makes a project cheaper.

FactorCloser to €3,000Closer to €17,500
IntegrationsOne modern APIAn old system with no API, a shared inbox, spreadsheets sent by email
DataConsistent numbers and names in one placeGaps, conflicting customer names, separate access rules
Right to actThe agent prepares a draft for approvalThe agent sends a message, changes a record or starts a payment on its own
Number of casesA few dozen a daySeveral thousand a day, queues and retries
Cost of an errorAn employee corrects a wrong internal draftA wrong price at a customer or a wrong accounting entry

Know the cost of an error before the quote. It decides how many tests and approvals the system needs.

How much an AI agent costs a month

After launch you pay for models, hosting, any outside APIs and the maintenance you agreed. The models are often the smallest item.

Model cost at 10,000 calls a month

Each call is 2,000 input tokens and 500 output tokens. Anthropic API rates from October 2026.

Claude Haiku 5.5$4.50
Claude Sonnet 5.5$90
Claude Opus 5.5$180
Claude Fable 5.1$450

Źródło: Anthropic, API pricing (2026) ↗

An agent usually makes several calls per case, so multiply the result by the number of steps. A cheaper model handles the simpler steps, and the stronger one gets only the hard cases.

The full bill of a running system, with hosting and quality control, is in the guide what a running AI agent costs. The scope of support after launch is in the article on AI agent maintenance.

Agent, automation, chatbot or an off-the-shelf tool

An agent makes sense when the content of a case decides the next step. For many processes a simpler solution is enough. Anthropic describes the same distinction between a fixed workflow and an agent.

What to choose for which work
  • Customers ask in a chat and the answers are in the knowledge base

    an off-the-shelf chatbot

    the tool's subscription

  • Fixed steps with known exceptions

    AI automation

    from €3,000

  • The team looks for answers in documents

    AI app

    from €3,000

  • Every case is different and needs several tools

    AI agent

    from €3,000

  • The feature is already in your CRM

    your current system

    the cost of configuration

How much an AI agent for customer service costs

An agent that reads a request, checks the order status and prepares a reply for approval costs from €3,000 net. If answers from a knowledge base are enough, compare off-the-shelf chatbots first. We show the usual scopes on the AI in customer service page.

How to compare quotes from different firms

Send every supplier the same description of the process, for example following the AI implementation brief. Then check the same items in each proposal.

Six items every proposal must contain
  • The same work result and the same integrations
  • The build amount and the list of exclusions
  • Licences, models and hosting at the same volume
  • The scope and price of maintenance
  • Your team's tasks during the rollout
  • How changes of scope are priced

Do not treat an amount the supplier left out as zero. A proposal for a prototype alone looks cheap until the integrations and the launch come back into the budget. Also check whether the supplier proposes a fixed price or hourly billing.

How to calculate the payback

For the count you need your own volume, the cost of an hour of work and the cost of the model. Below is an example that counts everything: the time a person spends checking, the tokens and the build price.

Scenario: 600 cases a month
Time today
600 × 10 min = 100 h (€3,490)
Time with the system, checking included
600 × 7 min = 70 h (€2,443)
Model: 3 calls per case, Claude Sonnet 5.5
$16.20 (€14)
Cost of one case
€5.82 today, €4.10 with the system
Saving
€1,047 − €14 = €1,033 a month

Payback of €3,000

2.9 months

The working times and the number of calls are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 2,000 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.

Count three versions: careful, base and optimistic. In the careful one, assume more cases for a person and a month of settling in after launch. Time given back becomes a saving when it changes a cost or lets the team take on more work. More examples are in the article on calculating AI agent ROI.

What to ask before the contract

Seven questions for the supplier
  • Which exact work result does the price cover?
  • Which integrations are confirmed, and which still need checking?
  • What does the agent do on its own, and where does it wait for a person's approval?
  • How do you measure the result, the errors and the cost of one case?
  • Who owns the code, the documentation, the API keys and the test data?
  • What does maintenance cover, and what will count as a new scope?
  • What does the system do when a model or an integration fails?

How to get a quote from Syntalith

Prepare one process, the monthly number of cases, the systems you use, the average handling time and the three most common exceptions. That is enough for the first call.

From the call to a fixed price
  1. 01Free analysis, 30 minAn engineer counts the cost of the process with you. A written plan within 2 working days. Sometimes the plan is an off-the-shelf tool, or the decision that a build does not pay.
  2. 02Test on your process, 5 daysThe system works on 20 to 100 cases your team has already handled. We agree the test set together. Cost €0.
  3. 03Fixed price in the contractThe quote is valid for 30 days. 50% at signing, 50% after acceptance on the test set.

For a complex process you can order an Audit from €600 net. The service is described on the AI agent development page, and the timeline in the guide AI agent implementation step by step.

Worked example · Scenario

How we count the payback: coding 1,000 invoices a month

We run the same count for your process in the free analysis: volume, minutes per case, the cost of an hour of work and the model bill.

€1,745

a month for coding 1,000 cost invoices by hand

Payback: 2 mo.

3 minutes per invoice 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 of €0.004 per invoice in our invoice coding system, converted 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?

    At Syntalith, an AI agent for one process costs from €3,000 net, and larger rollouts usually cost €3,000 to €17,500 net. The build usually takes 6 to 16 weeks. A simpler automation that follows fixed rules also starts at €3,000 net.

  • How much does an AI agent cost a month?

    After launch you pay for models and hosting. The tokens alone at 10,000 calls a month cost from about $4.50 on the cheapest models to $450 on the strongest, at the rates of 11 October 2026. Support after launch is optional, and we agree it during the rollout.

  • Can we start for less than €3,000?

    Yes, when a team working in ChatGPT or Claude is enough. A rollout for a team of up to 10 people costs from €1,150 net. Sometimes a feature of a system the company already uses is enough, and we say so in the analysis.

  • When do we pay for the agent?

    50% when the contract is signed and 50% after acceptance on your test set. You get the fixed price in writing before the contract. Before that, the analysis and the test on 20 to 100 cases cost €0.

  • How quickly will I get a quote?

    The analysis takes 30 minutes, and the written plan arrives within 2 working days. The test takes 5 working days. For a complex process we propose an Audit from €600 net, which we credit towards the build.

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.