Every month, dozens of new artificial intelligence tools are introduced to the market. Many of these tools are already capable of not just complementing human work, but partially or completely replacing it. As a result, companies are getting more for less money—partly due to AI replacing certain roles and functions.
As a business expert, I’ve been observing how AI is transforming various aspects of our operations, allowing companies to increase efficiency and reduce costs. In this article, I will share my experience of implementing AI in different business processes.
Translations: AI vs. Traditional Specialists
In our international team, written translations were previously handled by professional translators. Now, thanks to tools like DeepL and ChatGPT, this process takes just minutes, ensuring high accuracy and adaptation to specific terminology. This has resulted in significant savings in both time and resources.
Accounting: Automating Routine Operations
Accounting services are another area where AI demonstrates its effectiveness. AI can automate accounting processes, integrating them with banking systems, inventory management, and control systems. While chief accountants are still necessary for developing financial strategies, operational tasks are increasingly handled by intelligent algorithms, which is expected to reduce the number of such positions in the coming years.
Texts and Copywriting: ChatGPT Handles Formats of Any Level
ChatGPT, especially in its paid version, is capable of generating high-quality texts of various formats — from social media posts to detailed expert articles. It works instantly, can adapt the style and structure of the text to different requirements. Copywriters now focus more on creating creative concepts, while the text-writing process is largely automated.
Information Search: Perplexity and Deep Research by OpenAI
Data search can be effectively delegated to AI. I use Perplexity — an AI search and analytical service that combines generative artificial intelligence with internet search. It provides not links, but ready-made structured answers, greatly enhancing the efficiency of searching and analyzing information.
Recently, OpenAI introduced the Deep Research function, integrated into ChatGPT. This tool can independently conduct in-depth research by analyzing and synthesizing information from numerous online sources. Deep Research generates detailed reports that can replace the work of a research analyst, performing tasks that would previously take hours in just 5–30 minutes.
Design: Midjourney and DALL·E Instead of In-house Designers
Working with visual content in our company has been significantly simplified thanks to generative models. Previously, a team of designers was responsible for creating graphics. Now, using tools like Midjourney and DALL·E, one specialist handles 2–3 times more tasks. The creation of initial creatives takes minutes, and refining them requires minimal time.
Video and Audio: Content Generation with 11Labs and HeyGen
For creating video and audio content, we use 11Labs and HeyGen. The first tool is used to generate voice clones for dubbing, while the second generates video avatars synchronized with the textual content. This approach allows editing video materials without the need for reshooting, which is especially efficient when working with educational and technical content.
Assistants: Personal Assistance Without the Staff
Many functions of personal assistants — writing emails, finding contacts, preparing proposals—are already automated. ChatGPT handles these tasks faster and more accurately, analyzing profiles, adjusting communication tone, and adapting to the language of the interlocutor.
Statistical Data and Forecasts
According to forecasts, the global AI market will reach $407 billion by 2027, significantly exceeding the figures of previous years. In 2025, investments in AI projects in the United States amounted to nearly $20 billion, which is several times higher than investments in cryptocurrency projects. These data emphasize the growing interest of businesses in implementing AI technologies.
Conclusion
Automating business processes with AI covers areas such as accounting, marketing, design, video production, and a wide range of management functions. The implementation of features like Deep Research by OpenAI opens new horizons for deep analysis and informed decision-making. In the coming years, the use of AI in various business aspects is expected to expand further, enabling companies to increase efficiency and adapt to a rapidly changing market.
Neural networks are being actively implemented in various business sectors, replacing traditional specialists and opening up new opportunities for increased efficiency. To successfully adapt to these changes and leverage the potential of AI in your work, it is essential to possess up-to-date knowledge and skills. That's why I invite you to my masterclass 'Team' https://go.bbooster.online/t422, where we will thoroughly analyze how to build an effective team and implement a systematic business, which will allow you not only to remain competitive but also to stay ahead of the market in the age of artificial intelligence.