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Workshops and automotive · Rollout scenario · Updated

AI for car workshops and automotive companies

Customers ask about the cost of a repair by email and phone. The system prepares a first estimate from the price list and past jobs, and the service adviser approves it.

Automation, paid once
from €3,000 net
  • Test on your process: €0
  • You pay 50% after acceptance

How much does AI for a car workshop cost, and when does it pay back?

Short answer

AI for a car workshop costs from €3,000 net. In our scenario it pays back in 1.5 months. Today, preparing 200 first repair estimates costs €2,327 a month. With the system, the same work costs €353. The service adviser approves the estimate. The diagnosis stays with the mechanic. The test on your process is free.

Statistics

Companies, quotes and AI: statistics 2026

Figures checked: 22 October 2026

Cost today · Scenario

What preparing estimates costs you today

€2,327

a month for preparing 200 first repair estimates

Payback: 1.5 mo.

In your company

  • Small workshop

    60 enquiries · €698 a month

    5.1 mo. payback

  • Mid-sized workshop

    200 enquiries · €2,327 a month

    1.5 mo. payback

  • Service network

    600 enquiries · €6,980 a month

    0.5 mo. payback

The team gets back about 56 hours of work a month, or 7 working days, and the company €23,680 a year. We count after the time a person spends checking and after the model cost. The process also brings money: the extra sales margin in this scenario is about €918 a month (see the assumptions under "How we calculate it"). According to Harvard Business Review (2011), in a study of 1.25 million sales leads, firms that tried to contact a lead within an hour were nearly 7 times as likely to reach a decision-maker as firms that tried an hour later.

Source: Harvard Business Review, The Short Life of Online Sales Leads (2011) ↗

How we calculate it

200 × 20 min = 66.7 h × €34.90 = €2,327 a month. With the system, a person checks the output in 15% of the old time (€349) and the model costs €4. That leaves €353. The saving is €1,973 a month, so €3,000 pays back in 1.5 months. On top of that, the extra sales margin in this scenario is about €918 a month, which the payback leaves out.

Assumptions: 20 minutes for a first repair estimate 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: reading the enquiry in our quoting system (about €0.0008) plus pricing the lines (Claude Sonnet 5.5, about 4,000 + 1,500 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume 1 in 20 estimates sent the same day ends in an order that a slow reply loses today, with a margin of €92. In the review we count it on your sales process.

Book a free process review (30 min)

We will calculate it on your enquiries.

How it works

What changes in answering an enquiry

Today

  1. A customer asks about a timing belt change

    Client

  2. The adviser looks up parts and labour

    Team

  3. Calls back the next day

    Team

  4. The customer booked elsewhere

    Client

  5. The bay stands empty

    Team

With the system

  1. An enquiry with the car's details

    Client

  2. Recognises the model and the service

    AI

  3. An estimate from the price list and past jobs

    System

  4. The adviser approves

    Person

  5. A proposed date

    System

What stays with people: The service adviser approves the estimate. The diagnosis stays with the mechanic.

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 →

Who already works this way

Our systems already work for clients

What this scope builds on

The quoting system we have already built

It splits an enquiry into lines and looks for the basis of each price in past quotes and approved rules. A line without a basis stays unpriced and goes to the person who quotes. Reading one enquiry costs about €0.0008.

See the quoting system →

Client review

“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.”

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.CareKuba KoziejCEO and co-founder, MoreGrowthView the original training review on LinkedIn ↗

„I already use AI.”

Your people too. Just no rules.

From our conversations with companies

5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.

In ESET survey (2026)

1 na 10 admits this in the survey.

Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.

Don't worry, we won't tell anyone :)

What do we see in companies that "already use"

  • Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
  • Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
  • Lack of company standards: everyone writes instructions in their own way, no one shares what works.
  • No rules for personal data, GDPR and company secrets.
  • No limits and no visibility: no one knows who uses AI, how much and for what.

62% Polish employees use AI at work · 27% companies have written rules for working with AI.

Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗

ChatGPT or Claude space review

Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.

€450 net

ChatGPT rollout →Claude rollout →

Company accounts, rules of working with data and team training in 2 weeks, from €1,150 net.View implementation for the team →

How to start

How to start. The first two steps are free.

  1. 1 · 30 min

    Free process review

    €0

    An engineer works out the cost of the process with you. Written plan within 2 working days.

  2. 2 · 5 days

    Test on your process

    €0

    We run 20 to 100 cases your team has already handled.

  3. 3 · 2–6 weeks

    Build

    from €3,000

    Fixed price in the contract. 50% on signing, 50% after acceptance on your test set.

Book a free process review (30 min)

or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET

You will see the slots in your time zone.

Included in the build

  • Reading enquiries from emails and attachments
  • A price from past quotes or a rule
  • Lines without a basis for the person who quotes
  • The quote in your template

What happens to your data

  • You choose the test cases. We anonymise them on request.
  • They stay in the EU and we delete them after the test.
  • We sign the NDA and the data processing agreement before we receive anything.

After acceptance you keep the code, the test set and the documentation. You pay for licences and model usage directly to the provider. Service advisers on ChatGPT or Claude: from €1,150 net for a team of up to 10 people.

Questions

  • Where should a workshop start with AI?

    With the questions about repair costs that you call back on today. In the review we count how many there are.

  • How much does estimate automation in a workshop cost?

    From €3,000 net, paid once. After the 5-day test the build takes 2 to 6 weeks. You get a fixed price before the contract: 50% on signing and 50% after acceptance on your own enquiries.

  • Is ChatGPT enough?

    ChatGPT does not know your rates or your repair history. The system builds the estimate from them and shows the adviser the basis. Advisers on ChatGPT or Claude are a second step, from €1,150 net.

  • When does it not pay off?

    Below 26 enquiries a month the payback takes more than a year. Then it is better to start with ChatGPT or Claude for the team, from €1,150 net, with training on your own tasks.

  • What do we need to prepare?

    20 to 100 enquiries with their estimates, your labour price list and the name of your workshop software.

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.