How to start using AI in business step by step

23/06/2026The Entrepreneur’s Guide Technology and innovation

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Artificial intelligence is no longer the preserve of large corporations – today, every entrepreneur with a computer and a willingness to try can use it. This guide will take you through how to start with AI in your business step by step, which tasks to assign first, and what to avoid.

What AI can (and cannot) do in business

Modern AI tools, known as large language models (LLM – Large Language Models), can write and edit texts, summarise documents, propose strategies, generate ideas, translate, analyse data, and in some cases, create images or code. However, they cannot make independent decisions with responsibility, do not have access to your internal data (unless you provide it), and their outputs always need to be verified.

AI is a great assistant, not a replacement for an expert. It works best where you can assess the result — that is, in your field.

Step 1: Choose one tool and start

Beginners make a common mistake: they try out five tools at once and get lost in all of them. A better path is to choose one universal tool and spend the first week with it. The most widespread general AI assistants include ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Copilot (Microsoft). For a complete start, a free version is sufficient.

Step 2: Learn to write prompts

A prompt is an instruction you give to the AI. The quality of the output depends more on the quality of the prompt than the choice of tool. A good prompt usually contains four things: role (who AI should be), task (what it should do), context (for whom, why, under what circumstances), and output format (length, structure, tone).

A comparison shows this best. In the following table, you see the same task assigned in two ways — a weak and a strong prompt.

Task	Weak prompt	Strong prompt
Email to a client	“Write me an email to a client.”	“You are an experienced sales representative. Write a polite email to a client who hasn't responded to our offer for a week. Tone: straightforward, not pushy. Max. 120 words. Goal: get a response on whether the offer makes sense.”
Product description	“Write a description for a coffee machine.”	“You are a copywriter for a premium coffee e-shop. Describe an automatic coffee machine for demanding espresso lovers. Highlight silent operation and easy cleaning. 80-100 words, CTA at the end. Do not use the words "revolutionary" and "best".”
Contract summary	“Summarise this contract for me.”	“Summarise the attached contract in the structure: 1) what it is about in one sentence, 2) obligations of the parties, 3) duration and termination, 4) penalties, 5) what deviates from the standard. Mark anything you are unsure about — don’t make it up.”
Brainstorming	“Come up with business ideas.”	“I am a graphic designer with 5 years of experience, working from home. Looking for second income using my skills, max. 10 hours a week, initial capital up to 20,000. Suggest 10 options. For each, explain why it might suit me and mention one risk.”
Language adjustments	“Correct this text.”	“Edit the text to sound natural and professional. Keep the meaning and sentence structure. Do not add new content. List the main changes at the end.”

You see that strong prompts always have something extra: role, specific constraints, goal, and often an instruction on what AI should not do. Negative instructions (“don’t make it up,” “don’t use superlatives”) significantly increase the usability of the output.

Five principles to remember

Be specific. Instead of “short text,” write “60–80 words.”
Give AI a role. “You are an accountant with 15 years of experience” will change the result more than you would expect.
Explain the goal. “I want the customer to reply” is more useful information than just assigning a task.
State what you don’t want. Negative instructions increase the quality of the output.
Iterate. Treat the first output as a draft — add “cut in half,” “add an example,” “rewrite more formally.”

Write prompts in the language you want the output in. The quality of generation is highest in English, but modern models handle other languages well too.

Step 3: Five specific tasks to start with immediately

Start with simple, repetitive tasks. These five work in almost every field:

Writing emails and responses. Provide AI with context (what happened, what you want to say, to whom) and have it suggest a few versions. Select the one that suits you and refine it.
Summarising long documents. Contracts, offers, lengthy reports — AI can pull out key points in seconds. Always verify numbers and key formulations in the original.
Brainstorming and generating ideas. Struggling to come up with a product name, slogan, blog topics, or presentation structure? Ask AI for 20 options and choose your favourite.
Translations and language checks. Current models translate very well, especially to/from English. For client texts, have them checked by a native speaker.
Structuring thoughts. Describe the problem in your words and ask the AI to rewrite it into an organised structure, table, or action plan.

These are five universal starting tasks. If you want to see how AI changes specific fields and other uses outside office routine, check out the overview of 10 real examples of artificial intelligence in business — from predictive analysis to personalised marketing to use in logistics and HR.

Example:

A small service entrepreneur spends several hours a week writing proposals. When they prepare a prompt template (“Write a proposal based on these points: …”), they reduce proposal preparation time from 45 minutes to 10. The saved time is devoted to acquisition.

Step 4: Build a prompt library

Once you find a prompt that works well, save it. A simple document or notebook will do. After a few weeks, you will have a collection that greatly speeds up your routine work – client emails, proposal templates, social media posts.

Step 5: Gradually expand

Once you master the basic tool, you can add specialised ones:

AI for generating images (visual designs, icons, illustrations)
AI transcribers of speech (meeting notes, podcasts)
AI integrated directly into the applications you already use (email, CRM, invoicing, office suites)

Common beginner mistakes

Be particularly aware of data protection. Do not input sensitive client information, trade secrets, or personal data into public AI tools unless you have verified how the tool handles the data.

Common mistakes include:

Blind trust in output. AI can occasionally fabricate (“hallucinations”) — generating information that sounds plausible but is incorrect. Always check facts, figures, names, and citations.
Too general prompts. The more specific the assignment, the better the result.
Using without context. AI knows nothing about your business until you tell it. Create a short “brief” about your company and include it in prompts.
Copying without adjustments. AI outputs have a typical “polished” style. Always adapt the text to your own voice.
No team training. If you have employees, give them basic rules on what can and cannot be input into AI.

How AI fits into broader business development

AI is a tool, not a strategy. Its biggest benefit comes when deployed on tasks that slow you down from your main focus — working with clients, developing offerings, managing finances. Before scaling AI across the company, clarify where you're headed: which processes you want to speed up, where you lose most time, and what your competitive advantage is that AI should not replace but support.

Conclusion

Starting with AI in business is not a months-long project. You can manage it in one afternoon: choose a tool, learn to write specific prompts, test five tasks from this guide, and gradually build a prompt library. The key to success is not the most advanced tool but repeated, small improvements in how you work day by day.