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AI training for dispatchers: customer emails and shift handoffs

Short answer

A dispatcher can use AI for replies to customers and notes for the next shift, provided they check one thing: whether the time in the draft is expected or confirmed. The training practises this on the team's real type of correspondence. At Syntalith team training costs from €1,150 net a day. With 12 people and 1 hour saved a week each, 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

Logistics and AI: statistics 2026

0.7 mo.

payback of €1,150 training with 12 people saving 1 hour a week each: €1,815 of time given back, €225 of licences a month. Scenario.

Figures checked: 22 October 2026

AI for dispatchers: one delivery, two different times

The delivery was planned for 9:00. At 10:20 the carrier wrote that it expects to arrive at 13:30. The consignee has not confirmed the new unloading time. A participant asks AI for a reply to the customer, and the draft reads: „Unloading will take place at 13:30.” That sentence promises something nobody has confirmed.

The corrected reply reads: „In its message at 10:20 the carrier said it expects to arrive at 13:30. The delivery was originally planned for 9:00. We do not yet have confirmation of the new unloading time.” The consignee gets a question: will they accept the delivery at the expected arrival time? Then the participant writes a note for the next shift with the new estimate, the time of the message and the missing confirmation.

How the exercise runs
  1. 01Threada short exchange with the carrier's estimate
  2. 02Draftthe participant prepares a reply with AI
  3. 03The trainer's questionwhere the time comes from and who confirmed it
  4. 04Notethe handover for the next shift
  5. 05Reversala thread where the consignee confirms and the carrier is late

If the team writes in more than one language, every language goes into the exercises: after translation, „estimated arrival” must still mean an expected arrival.

What AI training for dispatchers costs and when it pays back

Scenario: 12 people after training
Time saved
12 people × 1 h a week × 4.33 = 52.0 h
Value of that time
€1,815
Licences
$252 (€225)
Left after licences
€1,590 a month

Payback of €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. Microsoft 365 Copilot Business licences at $21 a 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 tasks of the team. If after a month checking texts written with AI takes as long as writing from scratch, we change the exercises or the scope of the tool.

For dispatchers the saving comes from replies to customers about changes, summaries of long threads and notes for the next shift. The cost can be one promised time nobody confirmed: a penalty for unloading downtime or a lost delivery slot. So in the exercises we also count the drafts where an expected time became a confirmed one.

First check which mailbox the team works in

Microsoft describes how Copilot in Outlook summarises email threads. Before the training, check in the Copilot in Outlook FAQ which features work in the dispatchers' shared mailbox. The training helps the team use the features it has and assess the text. It will give no access to a shared mailbox and no connection to the transport management system.

What to choose for dispatchers
  • The team writes emails and notes with AI

    training in exceptions and shift handovers

    from €1,150

  • Carrier emails must be linked to shipments

    an agent that links emails to shipments

    from €3,000

  • No AI access in the shared mailbox

    setting up the tool and licences

    a rollout

Where to start

We plan the dispatcher workshop so participants can finish the task without handling the mailbox at the same time. We run it as part of our team training. For the free process review, a description of one task the team does every week and the tools it uses is enough. You receive the written training programme within 2 working days.

Worked example · Scenario

How we count the payback: AI in logistics

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

€1,745

a month for retyping 1,000 CMR and POD documents

Payback: 2 mo.

3 minutes per document 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. We use it here in place of a transport sector wage. Model cost: 0.007617 USD per reading, measured in our system, which is about €0.0069 per document, 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 dispatchers teach?

    Writing replies and notes with AI on correspondence similar to the real thing, while checking whether the time in the draft is expected or confirmed.

  • Does Copilot in Outlook work in a shared mailbox?

    Check Microsoft's current FAQ before the training. Features differ between personal and shared mailboxes, and access depends on the licence and the organisation's settings.

  • How much does such training cost?

    At Syntalith from €1,150 net for a day's workshop for the team. Microsoft 365 Copilot Business licences cost $21 a person a month. With 12 people and 1 hour a week, 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.