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AI training for business presentations: from evidence to a decision

Short answer

AI training for business presentations teaches authors to start from the decision they need from the audience and to build the argument from the materials. The key exercise is catching a slide that announces a stronger conclusion than the data support. At Syntalith team training costs from €1,150 net a day. With 8 people each saving 1 hour a week, it pays back in 1.1 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

Presentations and AI: statistics 2026

1.1 mo.

payback of a €1,150 training at 8 people saving 1 hour a week each: €1,209 of time regained, €143 of licences a month. Scenario.

Figures checked: 22 October 2026

A slide that announces the conclusion too early

The team proposes testing a new service with one customer. The material describes the customer's interest but contains no order from them. The draft prepared with AI presents the project as confirmed demand and recommends a wider launch. After the meeting, questions about the assumptions come back.

The trainer goes back with the author to the question they are taking to the meeting: they need approval to test the idea with one customer. The corrected claim speaks of interest and proposes a trial with a success criterion. Further work covers the questions that may come up at the meeting. The author prepares an answer from the material or notes what information is still needed, and practises shortening what they say without removing a condition that matters for the decision.

A presentation programme with AI
  1. 01Decisionchoosing an option, approval for a trial or an explanation
  2. 02Materialfacts from reports kept apart from interpretation
  3. 03Layoutthe order of information built around the decision
  4. 04Claimone sentence per slide, with its basis
  5. 05Questionsanswers from the material, or the gap named
A presentation ready for the meeting
  • The first slide says which decision is needed
  • Every claim has a basis in the material
  • Conditions that matter for the decision survived the shortening
  • Details moved to the supporting material

What it costs and when it pays back

Scenario: 8 people after the training
Time saved
8 people × 1 h a week × 4.33 = 34.6 h
Value of that time
€1,209
Licences
$160 (€143)
Left after licences
€1,066 a month

Payback of a €1,150 training

1.1 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. Claude Team licences at $20 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 a study in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%. For presentations we also measure the number of questions about the assumptions that come back after the meeting.

When a template is enough

If the problem is only how the slides look, a company template or a designer's help is enough. A workshop makes sense when authors need to build a stronger argument from the materials and answer the audience's questions. The specialist knows the sources, the person running the meeting chooses what goes into the main story, and the manager names the question presentations have failed to answer so far. The CIPD starts identifying needs from the demands of the job and current skills, so the view of the person who later reads the presentation helps too.

Template, training or automation
  • The problem is how the slides look

    a company template or a designer

    no training

  • The argument is weaker than the material

    a workshop on presentations with AI

    from €1,150 a day

  • The same data for a presentation every month

    automated reporting

    from €3,000

Where to start

We set the programme on a presentation the team makes regularly: a project proposal, an account review or the case for a change. For the call, the topic of the meeting and a description of the audience are enough. 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: presentation authors

We run the same count for your team in the free analysis.

€1,675

a month for preparing 12 management reports

Payback: 2.1 mo.

4 hours to prepare a management report 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: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), 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 business presentations teach?

    Setting the decision the author needs, choosing facts from the materials, building claims with a basis and preparing answers to the audience's questions. AI helps compare layouts and shorten the text.

  • Will AI make a good presentation?

    It can prepare a layout and the slide text. The author checks that the claim is no stronger than the data and that the conditions that matter for the decision survived the shortening.

  • How much does such training cost?

    At Syntalith from €1,150 net for a day of workshop for the team. Claude Team licences cost $20 per person a month. With 8 people saving 1 hour a week each, the payback is 1.1 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.