Generative AI has stopped being a toy for tech enthusiasts. Today accountants, sales reps and owners of small businesses use it. The question is no longer whether AI can do something useful, but what makes sense in your own company.
What AI can and cannot do today
Generative AI can write texts, summarize documents, translate, analyze data, help with programming and answer questions. It is not infallible, though. It sometimes makes up facts and does not understand your business without context. That is why it works best as a helper whose output a person checks.
10 practical use cases
1. Drafting texts. Drafts of emails, offers, product descriptions or social media posts. It saves you the first, hardest step.
2. Customer support. An AI assistant answers common questions 24 hours a day and hands more complex cases over to a person.
3. Summarizing documents. Long contracts, reports or email threads turn into a short overview.
4. Translation and localization. Quick translations of your website, offers and communication for foreign clients, with a check of course.
5. Programming help. Developers use AI to write code, tests and documentation.
6. Extracting data from documents. From invoices, orders or forms it pulls out numbers, names and dates and moves them into your system.
7. Internal knowledge base. An employee asks in plain language and AI finds the answer in company documents.
8. Analyzing feedback. Hundreds of reviews and survey answers are summed up into the main themes.
9. Preparing training and materials. Outlines, test questions or notes for a presentation.
10. Sales support. Preparing for a customer meeting, summarizing the history of the relationship and suggesting next steps.
Examples for Slovak industries
- Tourism and hospitality: replies to guests in several languages, writing offer descriptions and reviews.
- Manufacturing: processing technical documentation and finding information in manuals.
- Retail and e-shops: product descriptions, customer support, categorizing the range.
- Services and consulting: preparing offers, meeting summaries and regular reports.
Data protection and GDPR
This is where it pays to be careful. Never put customers' personal data, trade secrets or sensitive contracts into public tools if you are not sure how the provider handles them. For company use, services with clear data protection terms or solutions run under your own control are more suitable. Give employees simple rules on what is allowed and what is not.
A plan to get started
- Pick one or two processes where you lose the most time.
- Try AI with a small group of people.
- Set rules for use and data protection.
- Measure what it brings (time, quality, satisfaction).
- Expand gradually where it works.
Conclusion
AI won't replace your people, but it can relieve them of routine. If you want to know where it could be used in your company, get in touch. You can read more about what we do on the page AI and autonomous AI agents.