AI for non-technical teams: a practical introduction
For teams in operations, administration, marketing and customer support: anyone who works with tools every day but doesn't write code. We show what AI can really do in your work, where it helps and where it doesn't, and how to use it without feeling overwhelmed.
Most AI training is for developers. This one isn't.
- AI assistants have become serious workplace tools
- Most teams use them now and then, without rules, so results are inconsistent
- Without structure you waste time on poor prompts and miss what really helps
- We work on your everyday tasks, not generic examples
For teams that use tools, not write code
- Operations
- Process documentation, reports, suppliers, schedules.
- Administration and office
- Writing, editing, summarising and organising.
- Marketing
- Content drafts, social posts, email campaigns, research. AI gives you a starting point, not a finished text.
- Customer support
- Replies to customers, case summaries, knowledge base.
- HR
- Job descriptions, job ads, internal communication, surveys, onboarding materials. AI speeds up the paperwork, people check it.
- Any other team that doesn't code
- Finance, sales, project management, training, legal support. We tailor the content to your field and tasks.
After the workshop your team has
- Prompt templatesThree templates we build together, for tasks you do every week.
- Team rulesAn agreement on which tools you use, which data you may share and when a result needs checking.
- A shared prompt libraryTemplates for the whole team, as a PDF and a spreadsheet.
- A personal planEach participant leaves with three concrete things to apply this week.
What we do in 4 hours
What AI is, what it isn't and where it helps you
An honest look at today's AI tools, without hype and without doom.
- The main AI assistants: how they differ
- What AI is good at: text, structure, analysis, drafts
- What AI is bad at: calculation, current facts, complex judgment
- Where it saves time and where it wastes it
- Privacy: what you may and may not share with public AI tools
Rules: EU AI Act and GDPR
Short and concrete: what the law expects from a team using AI. Since 2 February 2025, Article 4 of the EU AI Act requires deployers, i.e. companies that use AI at work, to take measures that support the AI literacy of their people. The article was amended in July 2026 by Regulation (EU) 2026/1744.
- EU AI Act (Regulation 2024/1689): what it means for a non-technical team and the AI literacy obligation (Art. 4)
- GDPR in everyday work: which data must never go into public AI tools
- Anonymising before input: what to keep and what to remove
- Public AI tools vs. business versions with a data processing agreement (DPA)
- A basic compliance record worth keeping in the team
Better prompts: structure, context and refining
This is the biggest step: from one-line prompts to structured prompts that give reliable results.
- Prompt structure: role, task, context, format, constraints
- Reusable templates: we build three together
- How to explain your work to AI
- Refining: tightening, expanding and narrowing the result
- Output formats: tables, lists, formal letters, summaries
Practice: AI in your everyday work
The main part. Each participant brings 1 to 2 real (anonymised) tasks and we rework them with AI.
- Writing and editing: emails, reports, proposals, summaries
- Analysis: from data to conclusions, tidying notes, comparing options
- Research: gathering information, summarising long texts, comparing sources
- Communication: translation, tone, adapting to the audience
- Repetitive tasks: what AI can take over
AI agents and automation, an introduction
What's possible beyond simple prompts: AI agents that handle tasks in several steps. We show examples, without technical setup.
- How an AI agent differs from a single prompt
- Examples: scheduled reports, multi-step research, automatic drafts
- How agents fit with the tools you already use
- When you need us and when you don't
Rules for using AI in your team
The team agrees on basic rules: which tools you use, when, how you share data safely and how results stay consistent.
- Agreed AI tools
- Data rules: what may be shared and what may not
- A shared prompt library
- Quality control: when to check, when to trust
- How to keep the rules up to date
Questions and your plan
An open conversation about your situations. Each participant leaves with a personal plan: three concrete things for this week.
- A personal plan for each participant
- Three first uses for your role
- A prompt library to take home (PDF and spreadsheet)
- Further advice if needed
Half a day, tailored to your team
4 hours
Enough to go deep, and it fits between morning and afternoon work.
4 to 12 participants
Small enough for everyone to get attention, large enough for good practice to spread through the team.
Online or at your premises
Online is just as hands-on, not a lecture. We come to you anywhere in Croatia and the region.
Croatian or English
Materials and discussion in the language that suits you, mixed if needed.
- Date
- Arranged with your team
- Price
- Depends on team size and whether we work online or at your premises. We send a clear quote.
Experience from many different lines of work
Software architect with more than 15 years of building large business systems. Sets up the AI tools live in the session, so your team can focus on using them.
More than 15 years with large business systems, ERP and leading teams. Connects what your team needs with what AI can really do.
Good to know
We've all tried AI tools. What's different here?
Most people use AI at random and get inconsistent results. Your team gets structured techniques, shared templates and procedures that give a reliable result.
How much does it cost?
Larger teams get a lower price per person.
What if some people on the team already use AI well?
Great, they will help raise the level of the workshop. We adapt the depth to the group: beginners catch up quickly and more advanced people pick up structured techniques.
Do we need tools or accounts beforehand?
We recommend each participant has an account with an AI assistant; the free version is enough. A week before, we email which one to use and how to prepare. Nothing else is needed.
Can we do it for one department only?
Yes, and it's usually more useful then, because we focus only on your tasks. We have adapted it for HR, marketing, operations and customer support.
Is there a follow-up after the workshop?
Yes. Some teams want one or two hours of follow-up 4 to 6 weeks later to refine prompts and harder procedures. Others want advice on a specific automation. Both are possible.
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Not sure what fits your team?
Fill in a short questionnaire (3 minutes) about how you work. We will get back to you with a concrete recommendation: a workshop, consulting, or the conclusion that you do not need AI yet.