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AI Agent for Customer Service: Triage

Short answer

An AI agent in customer service makes sense when you name one task, one source of information and one person for the exceptions. First check what your current helpdesk already does. At Syntalith, reply drafts for approval cost from €3,000 net. At 2,000 emails a month, handling them by hand costs €5,817, and with the system €893, checking and the model included.

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 in customer service: statistics 2026

0.6 mo.

payback of a €3,000 system at 2,000 customer emails a month: €5,817 by hand, €893 with the system. Scenario.

Figures checked: 22 October 2026

Start with one difficult case

Take a closed ticket that passed between several employees. Ask someone who did not handle it to name the current problem and the next step. See which information they had to look for outside the ticket history.

An example: an agent advised a password reset, but the customer never received the link. The note for the next shift has to show that the advice was never carried out. A summary that says "password reset" would send the next person the wrong way. A pleasant style will not fix that kind of mistake. Write down the note you expect before you try it with AI.

First the features you already pay for

Your helpdesk may already have summaries and writing help. In Zendesk, a summary covers public comments by default, and internal notes need an add-on (Zendesk documentation). If the solution was agreed in a separate thread, the summary alone may not be enough. Check this on an example with your administrator before you order a second system.

Three scopes, three tests

ScopeWhat the test must show
A reply draft from the instructionsThe right instruction for the product, the source named, no promises added
A handover note on a ticketThe current state, the steps taken, the items waiting for confirmation
A change of data or status in the systemThe right account, permission for the operation, a record of the result, a safe retry

At the start, sending and changes to the account stay with an employee. Permission to prepare text does not set the rules for refunds or for closing a complaint.

What an AI customer service agent costs and when it pays back

Scenario: 2,000 customer emails a month
Today
2,000 emails × 5 min = 166.7 h (€5,817)
With the system, a person checks the output in 15% of the time
€872
Model, 1 call per case, Claude Sonnet 5.5
€21
Cost of one case
€2.91 today, €0.45 with the system
Saving
€4,924 a month

Payback of €3,000

0.6 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: 3,500 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.

Emails a monthTodayWith the systemPayback of €3,000
500€1,454€2232.4 months
2,000€5,817€8930.6 months
5,000€14,542€2,2340.2 months

According to the European Commission (2026), customer service is the most common use of AI among EU SMEs and mid-caps that already use it: 47%. We show the usual scopes on the AI in customer service page.

Measure the whole handling time of a case: finding the data, reading the proposal, the corrections and saving the result. Time saved on writing can disappear into checking a wrong summary. Compare similar kinds of tickets and record the ones that needed another person to step in. Hours given back do not lower staff costs on their own. They count when the team handles more cases or answers faster.

Chatbot, reply draft or agent

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

    an off-the-shelf chatbot

    the tool's subscription

  • The team answers emails and tickets

    reply drafts for approval

    from €3,000

  • The case needs a check of the order and several systems

    an AI agent

    from €3,000

Choosing the chat tool alone is covered in how to compare AI chatbots.

What evidence to ask a supplier for

Ask the supplier
  • Where did the system take the answer from, and how can I see it?
  • What does it do when data is missing?
  • How does a person take over the case?
  • Am I watching a demo, an app in the making or a system running at a client?
  • How will you measure the handling time of a case before and after the rollout?

For the first call, bring one anonymised case, the instruction in force and a description of the result you expect.

Worked example · Scenario

How we count the payback: replies to customers

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

€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 for customer service cost?

    At Syntalith, a system that reads the request, checks the data and prepares a reply for approval costs from €3,000 net. The build takes 2 to 6 weeks. The analysis and the test on 20 to 100 cases your team already handled cost €0.

  • When does a customer service agent pay back?

    With volume. At 2,000 emails of 5 minutes each, the manual work costs €5,817 a month, and with the system €893, checking and the model included. A €3,000 system pays back in 0.6 months.

  • Does the agent reply to customers on its own?

    Not at the start. The system prepares a draft and an employee approves it. Sending and changes to the customer's account can be added later, after tests on a wrongly matched customer and on cases where the system has no answer.

  • What should we check before buying?

    The features of your current helpdesk, for example summaries and writing help. Take one example and check which data goes into the summary and who sees it. Only then describe the missing feature to a supplier.

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.