How AI Agents Can Transform Business Processes: Real-Life Examples

Artificial intelligence is a fancy term that has been thrown around by all tech companies for the last three years with increasing intensity. However, many people are still not sure whether this technology is as powerful and menacing as venture capitalists and startups describe it. In many cases, there is nothing but smoke and mirrors, but some projects are quite intriguing.

It is possible to use AI in various industries to great success. For instance, a DeFi AI agent can be used to create an efficient tool for blockchain applications. You can implement AI assistants into a wide range of products to enhance user experience. It is also possible to employ expert systems that do some jobs better than humans. Good examples are the medical field (cancer diagnosis), logistics, data processing, and more.

Efficiency improvement with AI

Good technology is the one that improves at least some processes in its area of application. Some investors are raising concerns about the use of DeFi AI agents as they appear to be way less impressive than many imagined them to be. However, one does not have to rely on independently operating agents to do some general tasks. Instead, they can be focused on providing a valuable service.

A report done by Microsoft and PwC claims that the sustainable use of AI can add more than $5.2 trillion to the global economy by 2030. PwC experts also believe that artificial intelligence management in the workplace and employee skills will be a hot topic in the near future, with 45% of total economic gains predicted to be produced through the implementation of artificial intelligence technology.

Expected GDP output increases in leading nations rapidly adopting AI (China and the US) are 26% and 14.5%, respectively. When converted into monetary value, the increase is close to $10.7 trillion.

Researchers believe that the wide-spread adoption of AI technology will lead to improvements across the board, allowing PwC to make the following predictions:

• The total added economic value of AI could be close to $15.7 trillion by 2030.
• The EU is positioned to add over 22% to its combined GDP through the implementation of AI.
• Among sectors that are most prepared for the adoption of the technology, retail leads with 54% readiness.
• Fintech, transportation, and communications are key industries that will be affected the most.

For many companies, the business process transformation is happening naturally without disrupting established workflows. However, some are struggling to adapt. There are businesses that simply cannot easily incorporate novel tools into their models.

Here are some areas where artificial intelligence shines brighter:

1. Productivity increases through automation of manual and mental labor.
2. Increasing outputs by augmenting labor force with AI such as OpenAI ChatGPT.
3. Gains in consumer demand through the implementation of personalized user experience.

Researchers make a distinct separation between AI agents and backup programs. The latter are static and require maintenance while providing less interactivity and personalization. On the contrary, an AI agent can use a wide range of data sources to find a unique approach to any consumer.

The acceleration of several trends in all industries indicates that businesses are eager to implement novel tools into their models if they can afford it. For instance, many AI assistants are increasingly using voice and video to interact with users.

Real-life examples of AI in business

With the proliferation of AI technology across all tech sectors, it is more than easy to find good instances of value-adding implementation of agents. Below are some interesting cases that build a robust argument in favor of increasing the use of these autonomous programs in all areas:

• Signal Wire is a B2B service that allows businesses to create all sorts of AI agents for customer service, consumer interactions, and more. Their intelligent robots can use voice generation and finely tuned large language models to create artificial customer support employees capable of handling all sorts of support tickets and reservations. The company is offering effortless implementation of such features to call centers, support teams, and other businesses.
• Rivo enhances user experience through the implementation of its powerful Maneki AI. It is positioned as the guardian of your decentralized wealth. This particular case is an excellent demonstration of how an agent can improve UX/UI. Maneki DeFi AI agent accompanies users on each step of their investment journey by providing valuable tips, actionable insights, and strategy analysis while suggesting the best ways to allocate capital.
• SmythOS is one of the companies gaining momentum in the world of tech. It is focused on addressing the ethical aspects of using AI agents in business by offering various tools to build them transparently. The platform offers a wide range of ready-made templates and instruments to deploy functional agents quickly. You can create a sales robot, a Discord bot, or a DeFi AI agent for smart contract evaluation.

You don’t have to go out of your way to find other high-profile examples. Google’s Gemini, Meta AI, OpenAI’s ChatGPT, and X’s Grok are all powerful large-scale AI agents that can interact with users and deliver impressively rich and nuanced communications to the world of social media and telecom.

The rapid evolution of tools and technologies for the development of AI agents creates a very dynamic environment in all sectors. However, the decentralized finance and blockchain industries are feeling more pressure than others. DeFi AI agents can be incredibly efficient when developed by dedicated teams seeking the best ways to implement them.

In the DeFi sector, 10 protocols are focused on creating functional AI agent platforms. The combined TVL of projects that seek public investments is close to $87 million.

The future of AI agents

Many experts are calling the AI craze in Silicon Valley a tech bubble that will burst. Even if their assumption is true, the dotcom bubble created giants like Alphabet, Meta, Microsoft, Twitter, Amazon, and many others. Too many companies are digging deep into their pockets to fund R&D efforts targeting artificial intelligence. The race is getting faster and more complicated.

All financiers and professional investors agree that artificial intelligence is a key tech for many industries. With the AI agent market projected to grow at an impressive 45% CAGR during the next five years, it is hard to imagine a world without multiple competitive products valued by customers.

On the other hand, the challenges of AI implementation vary from industry to industry. Take a look at some barriers that will be difficult to overcome in some sectors:

• Healthcare providers must focus on protecting sensitive health data while making sure that their models can deliver safe medical advice and gain the trust of patients.
• The automotive sector must crack the self-driving nut as soon as possible. We are still years away from a technology that will be accepted by regulators and users.
• Communications and social media already struggle with the implementation of agents that use high-quality data. Much of it is unstructured or provides little to no value.
• In fintech, the role of data in the training of tradfi and DeFi AI agents is crucial. It is hugely important to search for the best ways to train models on precise market history.

Smart companies are focused on implementing AI across all their products and features but with a very safe and consistent approach. For instance, Rivo’s Maneki AI agent is tasked with guiding users while offering them occasional assistance. However, it will be expanded into a powerful copilot for investment operations sometime in the future. If you are interested in DeFi investments, you should check it out!