The Role of AI Agents in Enhancing User Experience

Agentic AI is one of the most important development vectors within the world of hi-tech. Autonomous instances of artificial intelligence capable of doing everything a human can but faster and better? Give us two! In 2025, the AI software market is expected to reach $294.7 billion according to The Business Research Company.

The numbers may paint a glorious picture when looked at without any context. However, the pace of investment in AI is lagging behind the infrastructure. For instance, Nvidia’s spending on data centers is far above the spending of companies investing in AI. To reach parity, the latter has to reach a staggering $248 billion in 2025.

What is an agent in AI?

Agentic AI is something that many specialists struggle to define. We all understand that it must be a software instance capable of things that we imagine artificial intelligence can do. However, the reality is a little bit more disappointing. An AI agent has many definitions but all of them have several things in common:

• It is an autonomous system that can interact with data, gather it, and alter it when needed.
• The system must set its own tasks and complete them to reach predetermined goals.
• It must operate without human intervention outside of occasional testing and refinement.

Thanks to a variety of methods for assessing the effectiveness of AI agents in UX/UI, fintech, and other applications, the technological infrastructure is developing rapidly. Despite some differences, many development teams found common ground and created usable frameworks to speed up the creation of new AI technology.According to Forbes, AI is most commonly used to improve customer service (56%), cybersecurity (51%), digital personal assistants (47%), and customer relationship management (46%). Three of these four domains are directly related to user experience. We will talk about them in detail.

AI agents in user experience

Many companies have found ways to implement artificial intelligence systems in their business processes to turn the level of profitability and efficiency to eleven. 77% of companies are using AI in various forms or are considering implementing it in the near future according to The National University. 60% of business owners believe that AI can improve their productivity.

Here are some of the best examples of successful projects using AI to improve user experience:

• Algorithms Design is an excellent service that uses artificial intelligence to create functional user interfaces, navigation schemes, and personalized UX solutions. It is an outstanding tool for many designers who want to explore the uncharted territory of AI-enhanced user experience models. The website has an enormous collection of innovative solutions that are intermittently updated.
• Many tech giants are using AI across all their products to increase user engagement and improve UX/UI by analyzing swaths of data. Enhancing user experience with AI is not an easy task even for a technological giant like Alphabet or Meta. These companies are using generative AI agents to give users better search results, answers to inquiries, and interactive automated customer support.
• Rivo is implementing its Maneki AI agent directly into the user interface. This approach allows the agent to provide tips, suggestions, and informative feedback in real time while users browse the website. Additionally, the generative AI component of the agent can come up with actionable investment advice based on user preferences and risk style. It is an elegant solution that vividly demonstrates the influence of technology on interaction with users who receive valuable feedback from smartly implemented AI agents.

In 2025, finding a technological platform that wants to stand out from the crowd by securing a large chunk of the audience and ignores the fast-rolling AI hype train is close to impossible. 83% of companies surveyed by Forbes reported that artificial intelligence is prioritized heavily in their long-term strategies.

Personalization through AI agents

Studies consistently show that customer relationships are one of the biggest priorities for contemporary businesses. 57% of all respondents in a survey cited by AI RPM say that they expect artificial intelligence to increase traffic to their platforms. 58% of business owners are banking on the future where AI creates personalized experiences for customers.

On the other side of the spectrum, the focus of companies on creating digital assistants that utilize generative AI is quite curious. The competition in this sector is incredibly intense with giants like Google’s Gemini taking on Twitter’s Grok while trying to shake off pursuers like IBM’s WatsonX or LibreChat.

Companies are approaching their audiences from both sides: they want to make products to exploit it and products that would be used by it. When it comes to targeting your audience with AI-powered product lineups, it is always a good idea to remember how communities influence the development of AI in UX. In the end, people generate the data forming the bulk of what an AI analyzes to come up with personalized recommendations and content feeds.

Benefits of AI in customer service

Some experts believe that using automatic systems instead of humans in customer support chat is a way to increase the efficiency and throughput of these systems. An AI agent handling customer support inquiries will never suffer anxiety, stress, or lash out at a client. With generative large language models improving rapidly, we will see a new paradigm with humans preferring to work out their issues through automated chats instead of dealing with other people.

97% of business owners reported feeling that products similar to ChatGPT will help their businesses in many aspects. 74% think that AI will handle customer relationships for them soon. 

In many cases, end users will either not feel any improvements or be slightly annoyed by the implementation of this technology in customer support systems. However, businesses will benefit greatly!

The future of AI in UX design

Rivo demonstrates a good case of how a smart AI agent that does not require too many resources can create an environment appealing to end users by providing simple tips and suggestions. It is woven into multiple aspects of UX on the platform:

• Maneki AI gathers information from social media platforms and can form cohesive reports about various market situations.
• It can provide comprehensive breakdowns of strategies using the vast database managed by expert strategists.
• The AI guides users while they explore the interface by providing valuable tips and suggestions.
• The generative large language model instance is used to talk to users in the natural language and provide suggestions on which strategies to pick.

It is an elegant way to implement an AI agent that does not disrupt the workflow or annoy users by replacing familiar features with AI-enhanced versions that rarely produce superior results. On the other hand, all current and future trends in AI and user experience are directed toward the improvement of outputs and smoothing interactions between humans and agentic artificial intelligence.

We strongly believe that Rivo’s approach is a better way to implement AI agents. Check it out now and see for yourself!