In 2025, artificial intelligence ceased to be an experiment for large companies — it became an everyday tool for small and medium-sized businesses. According to research, more than 40% of businesses in Europe and America already use AI, and 75% of them report reduced costs and increased efficiency.
AI is most effective in three areas: accounting, communications, and management.
Finance and accounting
AI modules automatically:
- recognise and classify documents (acts, invoices, receipts);
- verify data from Excel and CRM;
- monitor reporting deadlines and notify users of deadlines.
Sales and customer analytics
Artificial intelligence does not replace analytics, but it does accelerate it:
- it processes large data sets in Power BI, Excel, and CRM;
- it identifies patterns and weaknesses in processes;
- it predicts failures, demand, and financial flows;
- it creates reports and dashboards in minutes.
AI-based chatbots handle up to 70% of customer requests, help managers find data faster, and increase conversion by 20–25%.
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Marketing and communications
Chat GPT, Notion AI and similar tools allow you to prepare content in 15-20 minutes that used to take a day. AI helps you select topics, write texts, design posts and create visuals.
Where AI can fail: limitations and risks for business
AI is a powerful tool, but it is not a universal solution. Errors are more often caused by incorrect task setting and lack of human control than by algorithms.
- Breach of confidentiality. Transferring personal or financial data to AI through public services can lead to leaks.
How to reduce the risk:
- use corporate versions of ChatGPT with secure APIs;
- set up internal policies and prohibit employees from entering customer and personal data into public models;
- conduct periodic security audits.
- Interpretation errors and overestimation of accuracy. AI can confidently give false answers (the ‘hallucination’ effect). For an accountant or lawyer, this is critical: an error in a figure or interpretation of the law can lead to fines.
How to reduce the risk:
- always check key calculations and wording manually;
- record which decisions are made by humans and which by AI;
- in financial processes, use algorithms only as an aid.
- Loss of context and emotional tone. Models do not understand emotions, cultural nuances, goals, and tone of communication. As a result, texts and responses may be inappropriate.
How to reduce the risk:
Edit customer messages manually.
Do not entrust AI with negotiations and PR without human involvement.
- Distrust and resistance from employees. Research shows that some employees perceive AI as a threat to their jobs. Without training and explanation of the benefits of the technology, this leads to sabotage or ineffective use.
How to reduce the risk:
Involve employees in the implementation process.
Demonstrate how AI facilitates work rather than replacing it.
Create ‘AI ambassadors’ within the company — people who train others.
