Companies using artificial intelligence: examples and strategies – comments by Yevhen Kasyanenko

Today’s business resembles a constant struggle for survival. Competition is increasing, costs are rising, and customers are changing their desires so quickly that it is simply impossible to keep up with them. So it’s no surprise that many companies are turning to the latest artificial intelligence-based technologies. This allows them to take their business to a whole new level, leaving their competitors far behind.

“In practice, implementing AI doesn’t mean you just press a button and everything works automatically. Many companies get burned, losing money, time, and faith in the technology. Why does this happen? Because AI is not a magic pill, but a strategy. And if you don’t understand how and why to use it, no cool technology will save you,” says KISS CEO Yevhen Kasyanenko.

Next, we will look at the experience of implementing artificial intelligence in well-known companies. Only practical experience, proven cases, and advice from our expert, who knows firsthand how AI works in business.

Why are companies implementing artificial intelligence en masse?

One of the important functions performed by AI is communication with customers. Robots can already quite effectively provide timely responses, send reminders, and inform customers about promotions or products. In addition, AI is capable of performing a significant number of functions related to improving service quality:

• Replacing manual labor in areas involving calculations and accounting, such as bookkeeping, logistics, etc. Machine algorithms are already capable of collecting, analyzing, and accounting for data without errors and with a large amount of information.
• Personalization in customer service to meet customer needs and increase their value to the company. For example, voice assistants and chatbots successfully build trusting relationships between consumers and brands.
• Competitive advantage grows through the analysis of massive amounts of data. AI is capable of forecasting the market, finding patterns, and assessing risks. This makes it possible to use algorithms for financial organizations, retail, e-commerce, and marketplaces.
• Optimizing advertising campaigns allows for a better understanding of customer preferences. After all, artificial intelligence is capable of better analyzing human behavior and reactions on the internet. Thus, Google Ads and Facebook Ads algorithms can automatically select the advertising format for the audience.

“It is important to understand that AI does not replace human labor and resources; on the contrary, it becomes an assistant that simplifies processes and increases efficiency.

This increases the value of human involvement,” emphasizes Yevhen Kasyanenko.

How companies use AI in practice: successful cases

Let’s look at real examples from global companies and figure out how their tricks can be applied in your business to boost processes and start achieving results right now.

Well-known market leaders are turning artificial intelligence into a key tool that automates processes and takes business to a new level.

Key strategies for implementing AI in business – opinion of Yevhen Kasyanenko

“Thoughtless implementation of technology, even the smartest AI, will not bring the desired results. Therefore, before integrating machine assistants, it is necessary to carefully formulate a strategy for the development of your business, and then specifically identify the processes that can be automated,” says Yevhen Kasyanenko, an expert in the field of artificial intelligence and head of KISS Software.

Our team has prepared the most fundamental rules for a competent approach to working with AI, which were derived from the experience of our leading specialist:

1. First of all, it is necessary to identify the goals, namely, to understand what the business will be working for. A clear strategy will help determine the tasks that need to be automated in order to make the workflow more coordinated and effective.
2. Once the goal is clear, you need to ensure access to the data that AI will analyze. To do this, it is extremely important to set up all the processes for collecting, storing, and processing information. This approach will reduce the risk of errors and improve forecasting.
3. Once you have a clear goal and the necessary information, you need to correctly identify the required technology. The choice may be between a ready-made solution and a custom model. But the decision should only be made based on business objectives. If the service or product is unique or non-standard, it is better to invest in developing your own solution rather than choosing a template.
4. After defining the strategy, collecting data, and determining the AI format, you need to test and optimize the system. This will allow you to avoid bugs and errors, check the compatibility of the devices and programs you can use, and fix any issues in a timely manner.

Once you have followed all the basic principles, you can launch the program, but don’t forget to make updates.

How to implement AI correctly and avoid mistakes

Can you imagine how many problems can arise when implementing AI without a clear plan? We are confident that the more specifically you understand the possible mistakes, the easier it is to avoid them. This will help you make informed decisions and save your nerves, time, and resources.

Mistake 1 – Lack of strategy

Many companies simply succumbed to the AI trend without bothering to figure out why they needed it in the first place. The result was wasted budget, disappointment in the technology, and a return to manual work as if nothing had happened.

Advice from Yevhen Kasyanenko: before implementing innovations, develop a clear strategy. Write down what specific tasks AI should solve and where it can really strengthen your business. This will save you resources and help you achieve real results.

Mistake 2 – poor-quality data

Artificial intelligence is a smart thing, but it learns from what it is given. If there are errors or chaos in the data, don’t expect accurate results. It is important to understand that AI simply copies all the flaws.

Advice from our expert: always check the data for correctness, bring it to a uniform format, regularly update and refresh it. The cleaner and clearer the information, the more reliably AI works, without distortions and strange conclusions.

Mistake 3 – Overly high expectations of AI

A company’s performance depends not only on AI. Machine algorithms develop and improve business processes, gradually bringing projects to the top.

Expert advice: scale projects only after testing and piloting with AI to prepare the ground and eliminate all possible risks.

Mistake 4 – employee incompetence

Many people think that AI can be understood immediately and without training, but this is a misconception. Any business that wants to implement smart technologies needs real professionals. Without them, it is easy to make mistakes and end up losing money and time.

The advice is simple: if you don’t have an AI expert on your team, don’t delay, call in professionals or send your employees to courses and master classes. It is definitely worth it and will help you avoid unnecessary problems.

Mistake 5 – algorithm configuration

If algorithms are configured incorrectly, it can lead to data leaks. Therefore, it is very important to take care of security in advance and configure all systems correctly to avoid such problems.

Tip: only a professional should approach algorithm configuration to ensure compliance with GDPR and other regulatory standards.

Why is it important to trust AI implementation to professionals?

You can be inspired by the successes of other companies and dream about how AI will start to bring profits to your business, but without a clear personal strategy, proper configuration, and a deep understanding of the processes, it will remain just a dream.

Artificial intelligence is not a magic button that you just press and everything works. It is a powerful tool that either delivers results or turns into a waste of money. For AI to truly become your assistant, you need to not just “connect the neural network,” but competently integrate it into all business processes, from sales to analytics, logistics, etc. Such solutions require experience, precision, and complete immersion in how your business works.

At KISS Software, we have been implementing AI solutions in companies of various sizes for several years. Under the leadership of Yevhen Kasyanenko, our team helps businesses not to “play with technology,” but to get real results from it. You will not receive an abstract system, but a clear, working tool created specifically for you.