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When a systems integration solves the problem without AI

Short answer

When the form already holds the fields you need and the team can describe the rules for moving the data, an ordinary integration is enough. You add AI where free text needs understanding, for example the description of a request in the message field. At Syntalith an automation costs from €3,000 net, and with 300 form submissions a month at 5 minutes each it pays back in 3.8 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
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 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

Automation in companies: statistics 2026

3.8 mo.

payback of a €3,000 automation at 300 form submissions a month: €873 of work today, €89 with checking and the model. Scenario.

Figures checked: 22 October 2026

The form already holds the answer

Employees copy data from a form into a second program, so the company considers an AI rollout. Yet the form holds the company name, the contact address and the chosen product, and the team can say where each field should go. Take a request for a product demo: the connection moves the record into the CRM by agreed rules, and the salesperson gets a ready enquiry in the tool they already use.

The company still has to know what should happen with exceptions: the company already exists in the CRM, the address has a typo, the connection broke halfway, and the form was sent twice. Handling such cases is often a bigger part of the work than moving a correct form. A demo of one run does not tell you what will happen in these situations.

An enquiry without AI
  1. 01Formcompany, address, product and consent recorded in fields
  2. 02Rulesmatching to an existing company by domain or VAT number
  3. 03Recorda new enquiry assigned to the right salesperson
  4. 04Exceptiona duplicate or a connection error goes to a list for checking
Exceptions to describe before you order
  • The company already exists in the CRM under another name
  • The same form sent twice
  • The connection broken halfway through the write
  • A required field empty or wrong

What an integration costs and when it pays back

Scenario: 300 form submissions a month
Today
300 form submissions × 5 min = 25 h × €34.90 = €873
With the system, a person checks the output in 10% of the time
€87
Model, 1 call per case, Claude Sonnet 5.5
€1
Cost of one case
€2.91 today, €0.30 with the system
Saving
€784 a month

Payback of €3,000

3.8 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: 1,500 input tokens and 200 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, 10% 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.

In this scenario the model works only on the message field, so its cost is small. Most of the saving comes from the integration itself. According to the European Commission (2026), half of EU SMEs and mid-caps name high investment costs as a barrier to AI. A plain integration, where it is enough, lowers that cost.

When the tool you already have is enough

Microsoft describes triggers in Power Automate: a flow can start after an event, manually or on a schedule. That is one way to connect services without writing code. An existing connector or an integration feature in the CRM is enough if it supports the required run and gives the team control over errors. An extra integration makes sense when the ready-made connection loses the fields you need or creates duplicates on a retry, and employees cannot work out what happened. A free-text message changes the task. If the team needs a short summary of the request or its assignment to a category, that step is priced separately from moving the data.

Integration or AI
  • All the data sits in form fields

    a connector or the CRM's integration feature

    configuration

  • The ready-made connection creates duplicates or loses fields

    an integration with rules and a list of exceptions

    from €3,000

  • The request is described in free text

    an integration with an AI step for the message

    from €3,000

Where to start

To begin, one real run is enough, with the names of the programs and an example of a situation where copying gets complicated. We agree what record should be created and who resolves the exceptions. We build this kind of rollout as part of AI automations. 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: enquiries in the CRM

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

€698

a month for entering 300 CRM updates by hand

Payback: 5.1 mo.

4 minutes per CRM update 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 + 500 tokens per update, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume that 1 in 400 updates that get lost today ends in an order, with a margin of €459. In the review we count it on your sales process.

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 ↗

This process can go on its own. You will check this on your cases before you pay.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 automations

This process can go on its own. You will check this on your cases before you pay.

The system takes over repetitive work from emails, documents and spreadsheets, and hands over uncertain matters to a human. A prototype for 20-100 cases that your team has already handled costs €0. You pay the other half of the price when the system reaches your goal.

See AI automations →
net for the automation of one process, build paid once
from €3,000
from signing the contract to acceptance
2–6 weeks
free prototype on your cases
€0

Questions

  • When is an integration enough without AI?

    When the data sits in form fields and the team can describe the rules for moving it. You need AI for free text, for example when a customer's request has to be summarised or assigned to a category.

  • What should you show before ordering an integration?

    One real run, the names of the programs, the fields to move and examples of exceptions: a duplicate, a broken connection, a company saved under another name.

  • How much does such an automation cost?

    At Syntalith from €3,000 net. With 300 form submissions a month at 5 minutes each, the payback is 3.8 months. We agree integrations and maintenance before the quote, and the model costs €1 a month.

  • Is Power Automate enough?

    Often yes, if the connectors support your programs and the team can see errors. When the connection creates duplicates on a retry or loses fields, you need an integration with rules.

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.