AI Business Solutions

Definition of Artificial Intelligence

Artificial intelligence (AI) is a field of computer science and a technology for creating software capable of using and analysing data, algorithms, and programming elements to carry out various autonomous actions.

Such software is capable of self-learning, predicting, and adapting to changing conditions. In a nutshell, if a machine exhibits human-like cognitive abilities, then it’s considered to possess artificial intelligence.

At present, there are two types of artificial intelligence, based on functions and capabilities:

1. Narrow AI, or ‘weak’ AI. It is directed to perform one or more specific tasks. This type includes all known apps that use AI, even if they’re based on neural networks or deep learning.
2. Full AI, or ‘strong’ AI. In theory, it can go beyond learning and extrapolate knowledge for any task. This type doesn’t yet exist, but scientists and developers from IT corporations are already trying to create such almost sentient machines.

Apps with a stated function, that is, those that everyone is already using, are powered by ‘weak’ AI. Although they interact closely with people, find or generate rational answers to any questions, they do this thanks to programmed algorithms. The potential of their ‘intelligence’ is not at a human level because such capabilities aren’t required.

Narrow AI, for instance, works in virtual assistants such as Amazon Alexa, Google Assistant, Cortana by Microsoft, and Siri by Apple. These intelligent software agents parse queries and return appropriate responses or perform desired actions, like finding and ordering products. They don’t possess a mind, unlike people who work as personal assistants for businessmen, but they’re quite capable of coping with their tasks.

Popular AI Systems of 2025

Artificial Intelligence has become a cornerstone of modern business transformation. Leading AI platforms now help companies optimize workflows, improve customer experiences, and unlock data-driven insights faster than ever.

Below is an overview of some of the most influential AI systems in 2025, used by enterprises worldwide.

Insights and Trends

Modern businesses no longer choose AI tools by popularity alone — the focus has shifted toward integration, governance, and scalability.

• Hybrid AI infrastructure (combining cloud + on-premise models) allows for data control and regulatory compliance.

• Multimodal AI like Gemini or GPT-4o drives next-generation interfaces that merge text, voice, and vision.

• Specialized AI models such as Claude 3 or Mistral deliver better safety, interpretability, and domain-specific accuracy.

• AI copilots (Microsoft, Salesforce Einstein, HubSpot AI) empower teams with real-time decision support and workflow optimization.

Benefits of AI in business

AI’s potential in business is unlimited. Here it excels in customer service and process automation like data updates and billing in real time.

AI also understands and predicts customer preferences well, personalizes advertising, and works around the clock in terms of support services.

Here are some concrete examples of the benefits of artificial intelligence in business.

Ads personalization

Displaying personalized ads to a customer increases their interest and loyalty, thereby improving sales. That’s why companies are working so hard to achieve this.

AI is useful here because it is able to identify patterns in the habits and actions of customers by studying their buying behaviour. Using terabytes of data analysed in the cloud, the AI then will present customised product or service offerings to customers.

Automation of client interaction

Most client interactions, such as sending emails, chatting, social networking, or phone calls, usually require human involvement. AI allows companies to automate these methods of communication, and to transfer employees to places that only a person can handle.

By learning from the data obtained from previous conversations, AI can more efficiently respond to client requests and process them automatically. AI today already provides 65% of interactions with clients, all while communicating so that it is difficult to recognize a machine on the other end.

Work automation

If a large stream of customers or employees who need help passes through your company’s systems every day, then you can shift some processes to machines. Artificial intelligence in the service of business can cope with routine work faster than people.

For instance, AI is useful for railways and airlines that serve hundreds of thousands of people (they often have problems with tickets). AI is also useful for fleets that track the geolocation of their trucks, buses, and taxis. In this area, it can report information about departure/arrival times, where the transport is now, and what route it is taking.

Business automation

AI can use related technologies to increase the percentage of automation in business. Due to the exclusion of the human factor, the number of errors is reduced to a minimum.

For instance, car factories are using AI to control a robotic system when assembling cars, and plants are using AI to maintain ideal temperatures with smart heating. In Japan, robots are already working as hotel administrators. Artificial intelligence in the hotel business automates registration and booking, as well as processes guest requests.

Predicting results

AI is able to predict results with high accuracy based on data analysis. It can see certain patterns and trends in the data, such as buyer behaviour. These findings will tell you which products will sell better, in what volumes, and in what season.

Machine predictions are useful not only in retail, but in many other areas as well. Take, for instance, trading and investment management: here AI can predict price fluctuations for stocks, commodities, currencies, and cryptocurrencies.

Let’s consider how digital transformation is manifesting itself in different sectors:

• The financial sector is using digital technologies to automate operational accounting, risk management, and KPI forecasting, as well as to launch remote services, mobile banking, and real-time data processing.
• Sales departments are benefiting from the implementation of CRM systems, funnel automation, and customer behavior analytics. This helps shorten the sales cycle, increase conversion, and improve team efficiency.
• Marketing is becoming data-driven: end-to-end analytics, A/B testing, advertising campaign automation, and content personalization are used. As a result, the return on every ruble of advertising spend increases and LTV grows.
• Manufacturing and logistics are benefiting from IoT, warehouse automation, and digital planning, which reduce costs and increase operational transparency.
• The service sector is shifting to digital communication channels, self-service systems, online booking, and AI-powered chats, improving the customer experience and reducing the workload on staff.

In general, companies implement digital transformation to:

In modern business, there is no universal scenario for success, but there is a universal risk: being left behind.

AI allows companies not only to keep up with the times, but also to shape trends, get closer to customers, and maintain a competitive advantage.

Let’s take a closer look at the areas where AI is being applied in business:

Financial Services and Banks

Banks use AI to detect fraudulent activity. They train models on a very large sample of data containing the transactions of both fraudsters and legitimate users. By identifying patterns, machines are able to determine whether a regular transaction is carried out by the real owner of the account/card or a dark person.

Credit departments are increasingly implementing AI to better and more accurately assess customer creditworthiness. According to bankers, machines already make more than half of the decisions on loan applications, reducing consideration time and issuance from several days to half an hour.

AI is becoming the bedrock for building the next generation of financial services. It helps fintech companies compete with traditional credit and insurance organisations, or interact with them in B2B. And in B2C, financial planning and savings management robo-advisers have proven themselves well.

Read more about AI for Financial Services and  Banks…

Retail

Every second online shop has a chat via which visitors contact salespeople and support. The first contact, as a rule, occurs with a smart chatbot. The AI that operates in most chatbots understands natural language, so it’s just as natural as a person to advise customers, respond to requests, and offer products or services.

Another common use is automated recommendation systems on major marketplaces like Amazon with its SageMaker. They self-learn by analysing customers’ preferences to make them individual offers, as well as take into account the demand for goods.

Read more about AI for Retail…

Healthcare Institutions

The implementation of digital technologies and AI in medicine is a comprehensive implementation of modern digital technologies aimed at automating, improving, and optimizing all aspects of medical organizations. This includes the implementation of electronic medical records (EMRs), automated registration and document management, the development of telemedicine, the use of artificial intelligence for data analysis and decision support, and the integration of cloud solutions for data storage and processing.

At the core of this process is the creation of a unified digital ecosystem that unites medical staff, patients, and administrators, ensuring process transparency and prompt access to essential data. This integration not only reduces the risk of errors but also speeds up treatment, making medical care more accessible and of higher quality.

Read more about AI for Healthcare Institutions…

Logistics Companies

In a rapidly changing economy and rising customer expectations, logistics companies are faced with the need to implement modern digital solutions. The use of artificial intelligence in logistics is more than just a buzzword; it’s a key success factor, enabling supply chain optimization, increased efficiency, cost reduction, and improved service quality.

The implementation of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud platforms, and process automation helps companies adapt to new challenges and remain competitive in a globally competitive environment.

Read more about AI for Logistics Companies…

Real Estate and Developers

In today’s world, the implementation of AI and digital technologies is becoming a must-have development tool for real estate and development companies. Traditional project management and sales methods are becoming obsolete, and the introduction of innovative technologies is opening up new opportunities to improve efficiency, transparency, and customer service.

The implementation of modern technologies and AI in real estate and development involves the comprehensive integration of modern IT solutions that automate and optimize design, construction, sales, and property management processes. Key technologies include BIM (Building Information Modeling), digital twins of properties, cloud platforms, big data, and artificial intelligence.

Read more about AI for Real Estate and Developers…

Introducing AI in your business

As the speed of AI advances rapidly, business people are also swiftly trying to implement and use it. This is proven by the results of a survey of US company executives about their practice of introducing artificial intelligence into business:

• 33% have started implementing limited use cases
• 25% have processes fully supported by AI
• 21% have launched promising proofs of concept and are looking to scale them up
• 14% have conducted multiple proofs of concept with limited success
• 7% do not yet use AI, but are exploring the possibility of doing so

AI opens up entirely new horizons of efficiency and sustainability for businesses. Its main advantage lies not simply in modernizing IT infrastructure, but in profoundly transforming the very approach to management, customer interaction, and value creation.

By implementing AI in Business, companies are able to operate faster and more accurately: processes are automated, data is transformed into a strategic planning tool, and human error is reduced. This translates into higher productivity, lower costs, and greater transparency across the entire operating model.

Furthermore, AI strengthens a business’s ability to adapt to change. Companies that actively use analytics platforms, cloud services, and artificial intelligence respond more quickly to market trends, changing consumer behavior, and regulatory requirements.

As a result, organizations are created that are not just competitive, but also crisis-resistant. Customer focus also increases significantly — digital channels allow for a better understanding of audience needs, anticipating requests, and building personalized interactions, which directly impacts customer loyalty and lifetime value.

If you, too, are thinking about bringing AI to your business, Polygant can develop the apps you need. To find out the cost and timing of development for specific tasks, fill out the application form. We’ll get back to you immediately and discuss all the details!

How to start?

Implementing AI in Business should begin not with the introduction of technologies for the sake of appearance, but with a deep analysis of the current state of the business .

It is important to understand which processes are hindering growth, where resources are being lost , and where potential for scaling lies.

The first step is to formulate a strategy: key performance metrics and areas that require priority attention—whether it’s automating internal operations, improving customer experience, or moving to data-driven management.

The next step will require businesses to select the appropriate technologies: from CRM and RPA to cloud platforms, analytics, artificial intelligence, and digital twins, depending on the tasks and industry specifics.

However, the most important element is a partner who can not only implement solutions but also deeply understand the specifics of your business. This is why companies turn to us at Polygant.

We don’t sell ready-made templates — we create customized AI implementation strategies for your business, support your project every step of the way, and implement technologies that truly work.

Start with a consultation: we’ll help you identify priorities, choose the right tools, and take the first step toward sustainable digital growth.