The race to develop models increasingly powerful artificial intelligence has dominated the technology sector during the last few years. However, the focus is beginning to shift. The new battlefield is no longer just about creating better algorithms, but about getting multiple intelligent systems to work in coordination to solve complex processes within companies.
This paradigm shift is driving the growth of the call orchestration of artificial intelligence systems (AI), a set of tools that allow you to coordinate data, models and specialized agents. According to industry forecasts, this market It will go from moving around 5.7 billion euros in 2024 to exceeding 15.6 billion euros in 2029which means practically tripling its size in just five years.
With annual growth rates of over 20%, it has become one of the most dynamic segments of business software. The drive comes from the transition from isolated solutions to ecosystems in which multiple intelligent systems collaborate with each other to solve tasks and make decisions.
The rise of specialized agents
The key to this new stage is specialized agentswhich are designed to perform specific functions within a business process. Unlike generalist models, these agents can interact with other applications, access different data sources, and coordinate to complete complex tasks.
Jacinto Estrecha, head of Artificial Intelligence at Ntt Data, explains that these systems represent a natural evolution of generative AI because “they go from responding to executing concrete and coordinated activities within a process.”
According to the expert, They add more value when they automate tasks that involve several systems, people or sources of information.
“Compared to a general model, they allow greater precision, traceability and efficiency, especially in areas such as customer service, operations, finances or technical support, where the quality of the data and specialization significantly improve results,” says Estrecha.
Adoption of this technology is accelerating rapidly. Gartner predicts that 40% of enterprise applications will incorporate agents dedicated to specific tasks by 2026compared to the current 5%.
Human supervision remains essential
Despite the advance of artificial intelligence, Companies continue to opt for models in which people maintain control of strategic decisions.
The so-called supervised autonomy is establishing itself as the most effective formula to reduce errors and avoid governance problems. Workday data reflects this reality: 75% of employees say they feel comfortable working with AI agentsbut only 30% would accept to be managed directly by them.
Therefore, experts agree that the success of these projects depends on humans remaining responsible for defining and overseeing the strategy.
New business models
“The most immediate return from AI orchestration is in operational efficiencyespecially in process optimization, where it is easier to apply AI capabilities and measure benefits,” says Jacinto Estrecha.
Process automation allows you to reduce time, optimize resources and improve the productivity of organizations.. However, Estrecha believes that the true potential appears when artificial intelligence helps redesign processes, personalize services and develop new lines of business. “Efficiency is the first return; growth is the strategic leap,” he summarizes.
The use cases are already visible. In customer service, agentic AI is expected to autonomously resolve up to 80% of common incidents by 2029while the most complex cases will continue to be referred to human professionals. In cybersecurity, agents are already capable of detecting threats, classifying them and executing automatic responses in real time.
Still, the main challenge to scaling this technology is not technical. According to Estrecha, The real bottleneck is in the ability of organizations to adapt their processesintegrate systems, manage data and develop new work models. In the next phase of artificial intelligence, Competitive advantage will depend on both the technology and the companies’ ability to coordinate it effectively.
“Orchestration thus becomes the critical layer that will allow organizations to transform AI into real business results, consolidating itself as one of the pillars of the next technological wave,” they conclude from Ntt Data.