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How to compare AI chatbots for a business

Short answer

You compare AI chatbots on real customer questions and approved material. Fluent answers are not enough. The chatbot must keep the terms from the source, admit when information is missing, follow a change in the conversation and hand the case to an employee with its context. At Syntalith the app costs from €3,000 net, and with 1,500 customer questions a month at 4 minutes each it pays back in 1.2 months.

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
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

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

Chatbots and customer service: statistics 2026

1.2 mo.

payback of a €3,000 app at 1,500 customer questions a month: €3,490 of work today, €1,059 with checking and the model. Scenario.

Figures checked: 22 October 2026

Questions to prepare before you watch a demo

Choose an ordinary question about the service, a question that needs clarifying and a case the documents do not answer. For each one, write down the expected scope of the answer and the source. In the example, the current service description says the date is agreed individually. A chatbot that answers „done tomorrow” invents a commitment. The correct answer says that a consultant sets the date and offers contact.

After the first answer, change a detail of the case. The customer may talk about a different product from the one at the start, or correct the quantity. Check whether the chatbot carries the terms over to the new product or repeats the old ones. If a shop's chatbot can see orders, repeat the trial after logging out and switching accounts: data fetched earlier must not stay in the conversation.

Area of the trialExample of an error
Answer from the sourcean added price or date
Missing informationa confident answer with no basis
Change of contexta condition that concerns the previous product
Handoveran important detail missing for the employee
Testing one chatbot
  1. 01Questions30 to 50 customer questions with the expected scope of the answer
  2. 02Conversationsa change of product, quantity and account during the conversation
  3. 03No basisquestions the documents do not answer
  4. 04A persona request for a consultant during working hours and after them
  5. 05Assessmentcontent and handover scored separately
Handing a case to an employee
  • The employee receives the question and what the conversation established
  • The customer knows the case is waiting and roughly when to expect an answer
  • After working hours the chatbot does not promise immediate contact
  • The notice that the customer is talking to AI appears at the first contact

What an AI chatbot costs and when it pays back

Scenario: 1,500 customer questions a month
Today
1,500 customer questions × 4 min = 100 h × €34.90 = €3,490
With the system, a person checks the output in 30% of the time
€1,047
Model, 1 call per case, Claude Sonnet 5.5
€12
Cost of one case
€2.33 today, €0.71 with the system
Saving
€2,431 a month

Payback of €3,000

1.2 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 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around a case: searching, reading, writing and passing it on. What stays is the time to check the output, 30% of today's work in the scenario. Before we quote, we measure both times on 20 to 100 cases your team has already handled, in a €0 test that takes 5 working days.

The cost of an answer includes the corrections. In the count we leave 30% of today's work for cases passed to a consultant and for checking. According to Brynjolfsson, Li and Raymond (2025), customer service agents supported by AI resolved on average 15% more issues an hour (QJE). So it is worth comparing a chatbot and a consultant with an assistant on the same set of questions.

Content and integration, tested separately

You can start the content test on made-up material. The connection to the ticketing system needs its own trial, including an interruption and a retry. Recording tickets after hours is described in the AI chatbot for customer service use case. You check the notice about talking to AI at the first contact. The obligations in Article 50 of the AI Act apply from 2 August 2026, and the details are in the article on AI Act Article 50 and chatbots.

Which chatbot to choose after the test
  • Repetitive questions with answers in the documents

    a chatbot that cites the source and refuses when there is no basis

    from €3,000

  • Many cases need a consultant

    a chatbot that hands over the case with what it established

    from €3,000

  • Answers depend on customer data in the system

    a chatbot with access to orders and account checks

    priced after the review

Where to start

The first test covers 30 to 50 questions from the last month and one path for handing over to a consultant. We also record the questions the chatbot should not answer on its own. We build this kind of rollout as part of AI apps. For the free process review, a description of one case from recent weeks and the tools it went through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.

Worked example · Scenario

How we count the payback: an AI chatbot for a business

We run the same count for your customer questions in the free process review.

€2,327

a month for answering 1,000 customer questions

Payback: 1.5 mo.

4 minutes for an employee to answer a question 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 4,000 + 400 tokens per answer, 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 ↗

Start with the process that takes the most time each week.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 21, 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 implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • How do you compare AI chatbots for a business?

    On the same customer questions and material: an answer from the source, a refusal when there is no basis, a change of context in the conversation and handover to an employee. You assess the content and the integration separately.

  • Which chatbot error costs the most?

    An invented commitment: a price or a date that is not in the material. The customer cites it later in a conversation with an employee.

  • How much does such an app cost?

    At Syntalith from €3,000 net. With 1,500 customer questions a month at 4 minutes each, the payback is 1.2 months. We agree integrations and maintenance before the quote, and the model costs €12 a month.

  • Does a chatbot have to say that it is AI?

    Yes. According to the European Commission (2026), the transparency obligations in Article 50 of the AI Act apply and are enforced from 2 August 2026. You check this notice in the test at the first contact.

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
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.