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AI training for B2B complaint resolution teams

Short answer

AI training for a B2B complaints team teaches you to write updates that answer the customer's question while the technical assessment is still running. The key exercise is a draft that promises no replacement before the decision and says what the company is waiting for. At Syntalith team training costs from €1,150 net a day. With 8 people each saving 1.5 hours a week, it pays back in 0.7 months after licence costs.

net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

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

Complaint handling and AI: statistics 2026

0.7 mo.

payback of a €1,150 training at 8 people saving 1.5 hours a week each: €1,813 of time regained, €150 of licences a month. Scenario.

Figures checked: 22 October 2026

A difference in print colour, with the assessment still running

A packaging supplier's customer reports a difference in print colour and asks for a replacement before planned production. They gave the batch number and sent photos. The technical assessment is still running, and no replacement has been approved. The draft prepared with AI says only that the complaint is being reviewed.

In the session, the author starts with a question for the person doing the assessment:

Are the batch number and the photos sent enough to assess the reported colour difference? If you need more material, please say what.

The same findings produce an update for the customer:

We have received the batch number and the photos of the print colour difference. We know you need the packaging before your planned production. The technical assessment is still running, and no decision on a replacement has been made yet.

The text answers the customer's request and confirms that the material arrived, without promising a solution the company has not agreed.

A programme for a complaints team
  1. 01Casea short description with the customer's need
  2. 02Questiona specific request to the technical assessment
  3. 03Updatewhat we have and what we are waiting for
  4. 04Proposalthe approved solution after the assessment
  5. 05Triala solution with no set shipping date
An update ready to send
  • Confirmation of the material received
  • The customer's need named in their own words
  • No promises before the technical decision
  • The technician's conclusion simplified without changing its meaning

What it costs and when it pays back

Scenario: 8 people after the training
Time saved
8 people × 1.5 h a week × 4.33 = 52.0 h
Value of that time
€1,813
Licences
$168 (€150)
Left after licences
€1,663 a month

Payback of a €1,150 training

0.7 months

The hours saved are the scenario's assumption, which we check by timing the tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Copilot Business licences at $21 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.

According to Brynjolfsson, Li and Raymond (2025), support agents assisted by AI resolved on average 15% more issues an hour, in a study of 5,172 people (Quarterly Journal of Economics). In B2B complaints we also count the updates that had to be corrected after the technician's comments.

The tool improves the tone, the team brings the findings

Microsoft describes email coaching in Copilot for Outlook, which suggests changes to tone and clarity and shows how a text may come across. Availability depends on the app and the environment. In the session it can be used to compare versions of a message, while the findings of the complaint come from the company's material. For confirming that a complaint was received, a good template is enough. Grouping many complaints is separate analytical work, described in the article on sorting quality complaints.

Template, training or automation
  • Confirming that a complaint was received

    a reply template

    no build

  • Replies that depend on the technical assessment

    training on correspondence with AI

    from €1,150 a day

  • Cases pass between many people

    complaint workflow automation

    from €3,000

Where to start

We set the programme on a reply that went back and forth between customer service, the account manager and the technical team while the customer waited for an explanation. A technical specialist joins the discussion to judge whether the simplified description kept the meaning of their conclusions. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.

Worked example · Scenario

How we count the payback: a complaints team

We run the same count for your team 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 ↗

Practice this on your team’s own tasks.Book a free process review (30 min) →

„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 →

„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 training for teams

Practice this on your team’s own tasks.

Closed training is conducted by engineers who implement AI systems themselves. We arrange the program according to the participants' roles and tools, and we measure the time of the same tasks before the training and after 30 days.

See AI training →
net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

Questions

  • What does AI training for a B2B complaints team teach?

    Writing questions for the technical assessment, updates for the customer while the assessment runs, and proposals after the decision. Participants check that the AI draft promises no replacement the company has not approved.

  • Can AI reply to complaints?

    It can prepare a draft from the thread and the findings. The account manager checks the technical findings and does not approve a replacement of goods that has not been agreed.

  • How much does such training cost?

    At Syntalith from €1,150 net for a day of workshop for the team. Copilot Business licences cost $21 per person a month. With 8 people saving 1.5 hours a week each, the payback is 0.7 months.

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.