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Training for the team

AI training for sales teams

We provide training in preparing for a conversation with a client and working on a summary and response after the meeting. The price starts from €1,150 net per day. The team practices on an agreed sales example, and the leader discusses the participants' drafts and helps improve them.

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
conversation with an engineer and a written plan within 2 business days
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Statistics

How much does AI training for salespeople cost and when does it pay off?

Short answer

AI training for salespeople costs from €1,150 net per day. In our Polish cost example, a PLN 4,900 training fee pays back in 2.6 months: 10 people save an hour a week, and after the licenses they have PLN 1,905 left per month. Salespeople practice preparing for calls, offers and notes for CRM. We measure task time before the training and after 30 days.

70,9%

According to Eurostat (2025), 70.9% of companies in the EU that have considered AI but are not using it cited a lack of knowledge within the team as the reason.

Source: Eurostat, AI in enterprises (2025) ↗

Figures checked: 22 October 2026

Scope step by step

Questions Before the Meeting

Before the session, we select a situation that repeats in team work: a new query or a customer returning to a previous offer. Participants organize information and prepare questions with AI. They check which results come from the customer's message and which were generated by the tool's assumptions.

Let's assume the customer asks about delivery to two branches and provides a single common date. There is no division of quantity between the locations. The exercise involves preparing a short response that allows collecting this information. AI adding equal quantities for both branches would be an error, even if the message sounds convincing.

After the Meeting: Checkpoints to Confirm

In the second part, participants work on summarizing the conversation and sketching the next message. They maintain the distinction between the customer's request and the seller's commitment. They check whether the text still contains conditions regarding price, date, or availability.

The facilitator points out specific places requiring improvement. If the date is not confirmed, the participant should return to the agreement with the person responsible for execution. After discussion, they receive a modified case: the customer withdraws from one branch. They update the message independently and check whether previous assumptions were not included in it.

The program may include a note to CRM, if the team has decided which information should be included in it. Saving to the real system and automatic sending of messages require a separate implementation scope. During the workshop, we practice preparation and content control.

Who Should Participate

The selection of materials depends on whether the group handles queries, leads long B2B conversations, or develops existing accounts. The sales manager can help define requirements for a good note and the limits of commercial promises. His participation in the discussion is determined when planning the session.

We also ask about experience with AI. Beginners get time to prepare and check the first draft. For regular users, we can prepare a more challenging material with missing and conflicting agreements.

Preparation and Price Scope

Before pricing, we agree on the length of the program, the number of groups, and the time for feedback. Materials may describe a fictional query. The customer indicates the tools allowed for work and is responsible for purchasing licenses. Configuration of accounts and integrations are priced separately.

Describe the conversation or message whose preparation takes a long time for the team. When the problem concerns data flow between email and the system, it is also worth discussing working with AI in CRM.

Tool and Organization of Sessions

Before the sessions, we agree on the tool available for the team, for example, ChatGPT, Claude, or Copilot, and the materials that can be used in it. Exercises may use fictional notes, without customer recordings. If the team lacks only a common way of saving in CRM, a good template often suffices.

The workshop can focus on preparing the conversation and work after it. With a broader program, subsequent sessions give time for personal tasks and discussion after independent attempts. The number of meetings and possible consultations are determined in the offer.

How Much Does the Training Cost and When Does It Pay Off

Training starts at €1,150 net per day. We calculate the return on one process, without assumptions about the entire company.

Scenario: 10 people after training (Polish cost example, PLN)
Time saved
43.3 hours/month
Value of time
2,877 PLN
ChatGPT Business licenses
250 USD (972 PLN)
Left after licenses
1,905 PLN/month

Return on training for 4,900 PLN

2.6 months

10 people × 1 hour weekly × 4.33 weeks = 43.3 hours. We cautiously assume one hour of time saved per person weekly and check it by measuring task time before training and after 30 days. An hour of work at 66.45 PLN is the average wage according to GUS from September 2026, including employer costs. Licenses: ChatGPT Business Standard 25 USD per place monthly, NBP exchange rate 3.8889 PLN. If the team already has licenses, the return is faster.

According to a study published in Science (2023), the time for writing tasks with ChatGPT decreased by 40%. Therefore, the scenario adopts a cautious weekly hour and checks it by measurement.

Frequently asked questions

How Much Does AI Training for Salespeople Cost?

Training costs from €1,150 net per day of sessions. The price of the program depends on the number of groups, the number of meetings, and the time for discussing work. Tool licenses are purchased by the company.

What Do Salespeople Learn During the Training?

Preparation for a conversation with a customer, notes from agreements after the meeting, and a short follow-up message based on the conversation. Each participant writes their own text and receives feedback from the facilitator.

Can the Training Take Place Online?

Yes. Sessions are conducted in the customer's office in Warsaw or online, in a tool approved by the company.

„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 →

Training on your team's tasks, from €1,150 net per day.See range and price →

Scope and price

From €1,150 net per day

We determine the program, number of groups and time to discuss the work before the quote.

Claude Partner Network member

Denotes membership in Anthropic's partner program for Claude. Not an endorsement of Syntalith's services by Anthropic.

1:1 course participants

People we've trained one-on-one.

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 ↗
  • „A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.”

    Hlib Utkin, public administrationHlib UtkinPublic administration
  • „I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.”

    Ivan Chepurin, Senior Software Engineer at ImmutableIvan ChepurinSenior Software Engineer, Immutable
  • „I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.”

    Oleksandr Usyk, co-founder and art director at jakotako.designOleksandr UsykCo-founder & Art director, jakotako.design

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.