How to Start Using AI in Business

6/23/2026The Entrepreneur’s Handbook Technology and innovation

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Artificial intelligence is no longer reserved for big corporations – today any freelancer or small business owner with a computer and a willingness to experiment can use it. This step-by-step guide will walk you through how to get started with AI in your business, which tasks to hand off first, and what to watch out for.

What AI can and can't do for your business

Modern AI tools, known as large language models (LLMs), can write and edit texts, summarize documents, propose strategies, generate ideas, translate, analyze 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 require verification.

AI is an excellent assistant, not a replacement for an expert. It works best where you can evaluate the result – in your field.

Step 1: Choose one tool and get started

Beginners often make the classic mistake of trying five tools at once and not mastering any. A better approach is to choose one universal tool and spend the first week with it. Some of the most popular general AI assistants are ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Copilot (Microsoft). For a complete start, the free version is sufficient.

Step 2: Learn to write prompts

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

It is best illustrated through comparison. In the following table, you can see the same task given in two ways – a weak and a strong prompt.

Task	Weak Prompt	Strong Prompt
Email to 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. Be informative, not pushy. Max. 120 words. Goal: get a response on whether the offer is worthwhile.”
Product description	“Write a description for a coffee maker.”	“You are a copywriter for a premium coffee shop. Describe an automatic coffee maker for demanding espresso lovers. Highlight its quiet operation and easy cleaning. 80–100 words, include a CTA at the end. Do not use the words "revolutionary" and "best.”
Contract summary	“Summarize this contract.”	“Summarize the attached contract into the following structure: 1) topic in one sentence, 2) obligations of parties, 3) duration and termination, 4) penalties, 5) what is unusual. Mark anything you're unsure of — 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 a second income utilizing my skills, max. 10 hours per week, initial capital up to $20,000. Propose 10 options. For each, explain why it might suit me and identify one risk.”
Language editing	“Correct this text.”	“Edit the text to sound natural and professional. Maintain the meaning and sentence structure. Do not add new content. At the end, provide a list of major changes.”

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

Five principles to remember

Be specific. Instead of “short text,” say “60–80 words.”
Give AI a role. “You are an accountant with 15 years of experience” changes the result more than you'd expect.
Explain the goal. “I want the customer to respond” is more useful information than just giving the task.
Say what you don't want. Negative instructions increase the quality of the output.
Iterate. Consider the first output as a draft — add “shorten by half,” “add an example,” “rewrite formally.”

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

Step 3: Five tasks to start with immediately

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

Writing emails and replies. Provide AI with context (what happened, what you want to convey, to whom) and let it suggest several versions. Choose the one that fits you and tweak it.
Summarizing long documents. Contracts, proposals, long reports – AI can pull out the main points in seconds. Always verify numbers and key phrases in the original.
Brainstorming and generating ideas. Can't come up with a product name, slogan, blog topics, or presentation structure? Ask AI for 20 options and pick your favorite.
Translations and language editing. Current models translate very well, especially to/from English. For client-facing texts, have a native speaker check them.
Structuring thoughts. Describe the problem in your words and ask AI to rewrite it into a clear 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 of office routine, check out the overview of 10 real-world examples of artificial intelligence in business – from predictive analysis to personalized marketing to use in logistics and HR.

Example:

A small service-based business owner spends several hours a week writing proposals. By preparing a prompt template ("Write a proposal based on these points: …"), they cut proposal preparation from 45 minutes down to 10. The time saved goes into acquiring new clients.

Step 4: Build a prompt library

Once you find a prompt that works well, save it. A simple document or notebook will suffice. After a few weeks, you'll have a collection that will significantly speed up your routine tasks – emails to clients, proposal templates, social media posts.

Step 5: Gradually expand

Once you've mastered the basics, you can add specialized tools:

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

Common beginner mistakes

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

The most common mistakes include:

Blind trust in output. AI occasionally hallucinates – generating information that sounds credible but is false. Always verify facts, numbers, names, and quotes.
Too general prompts. The more specific the task, the better the result.
Using it without context. AI knows nothing about your company until you tell it. Create a brief about your company and include it in prompts.
Copying without editing. AI outputs have a typical “polished” style. Always tailor the text to your own voice.
No team training. If you have employees, give them basic guidelines on what they can and cannot input into AI.

How AI fits into broader business development

AI is a tool, not a strategy. It brings the greatest benefit when deployed on tasks that hinder your main focus – client work, offering development, financial management. Before scaling AI across the company, clarify where you're heading: what processes you want to speed up, where you're losing the most time, and what your competitive advantage is that AI shouldn't replace but support.

Conclusion

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