The AI agents market is set for strong growth, with projections estimating an increase from $5.1 billion in 2024 to $47.1 billion by 2030, reflecting an impressive compound annual growth rate (CAGR) of 44.8%. This expansion is largely fueled by the growing need for automation to enhance efficiency, scalability, and decision-making across industries.
Under pressure to streamline operations and cut costs, companies are increasingly adopting AI agents, which are effective at managing repetitive tasks, processing large datasets, and providing real-time insights.
In fields like investment banking and healthcare, AI agents assist professionals by analyzing data, identifying patterns, and supporting timely, precise decisions. This automation boosts operational efficiency and enables companies to expand services without hiring additional staff.
The CEE region has its notable players in the field, with Croatia-based FastAgency providing a platform that helps businesses utilize such multi-agent AI systems, or collaborative teams of digital assistants designed to automate complex workflows.
In an interview with IT Logs, FastAgency co-founder Hajdi Cenan highlights that, unlike single-task AI tools, a multi-agent setup brings together specialized agents, each dedicated to a specific function, and much more.
IT Logs: Tell us a bit about FastAgency and what are the specific challenges that it aims to solve?
Hajdi Cenan: FastAgency is a platform designed to make it easier for businesses to automate processes with multiple “AI agents” that are working together. Think of these AI agents as digital assistants, each focused on a specific task. But why do we need AI agents working in a team, you might ask. Well, anyone can create their own single agent (think of using ChatGPT for a certain task) but that one agent cannot automate complex processes (but rather individual tasks only), you don’t really have a full control over it (you might have to go back and forth until it really understands what you want), and it can make stuff up more often than you’d like (hallucinations).
Many of these issues are solved in a multi-agent setup, where you have several AI agents, each specialized for a certain role, communicating and collaborating with each other. Not only do they keep each other in line, they are much more capable than a single agent, as they ‘discuss’ the next steps and in that way come up with much better solutions.
How can multi-agent AI specifically enhance productivity for small businesses?
As mentioned, multi-agent AI can automate a wide variety of workflows across both verticals and horizontals. For example, in digital marketing, AI agents can fully automate the process of creating Google Ads campaigns. One agent gathers information about the business, another designs the strategy, a third writes ad copy, and yet another monitors the campaign’s performance. In research and development (R&D), AI agents can automate patent searches and monitor industry innovations.
Agents can scan global patent databases, track academic research, and identify trends, ensuring that companies stay ahead of competitors and avoid patent infringements. In financial services, AI agents can streamline the Know Your Customer (KYC) process by conducting background checks, mapping customer affiliations, and monitoring financial activities, helping institutions ensure compliance while reducing the risk of fraud. By automating these time-consuming tasks, businesses can operate more efficiently, allowing their human teams to focus on more creative, innovative, and strategic tasks.
Why is it important for businesses to stay updated with the latest technology trends like multi-agent AI?
Just like large enterprises, small businesses can get more done with fewer resources through multi-agent AI. These AI agents can take on tasks such as answering customer questions, managing data, and supporting decision-making. Rather than hiring a large team to juggle these responsibilities, multi-agent AI works in the background to keep operations running smoothly. This allows business owners and teams to focus on growth and strategy, while AI handles the day-to-day workload.
Staying up-to-date with technology trends like multi-agent AI is critical for maintaining competitiveness. AI can transform operations by lowering costs, speeding up services, and enhancing the customer experience. As more businesses adopt AI, those that don’t risk being left behind, unable to match the efficiency, speed, and personalized services their competitors will offer. In today’s fast-moving market, staying ahead means embracing innovations like AI before they become industry standards.
Looking ahead, AI agents will become even more autonomous, handling increasingly complex tasks with less human oversight. Businesses that embrace these advancements will see gains in efficiency, cost savings, and overall performance.
What future trends do you foresee in the field of multi-agent AI that could impact businesses?
Over the next few years, companies that implement multi-agent AI will have a clear advantage. They’ll be able to deliver faster, more customized services, while reducing operational costs. This technology will level the playing field, making it difficult for businesses relying on outdated methods to compete. Those that adopt AI early will be better positioned to lead their industries and outpace their competitors.
What industries have the most to gain from multi-agent AI, and why?
Ultimately, no industry will remain unaffected by multi-agent AI. Whether it’s logistics, healthcare, finance, or retail, every sector will feel its impact. Businesses that don’t implement AI risk falling behind as their competitors gain a significant edge through faster, more efficient, and highly personalized offerings. In the near future, adopting AI won’t just be an option—it will be a survival strategy. Simply put, no industry can afford to ignore the transformative power of multi-agent AI.
