{"id":34606,"date":"2026-10-19T10:46:00","date_gmt":"2026-10-19T08:46:00","guid":{"rendered":"https:\/\/askme.it\/insights\/ai-agent-orchestration-the-value-isnt-in-individual-agents-its-in-who-coordinates-them\/"},"modified":"2026-03-26T12:23:44","modified_gmt":"2026-03-26T11:23:44","slug":"ai-agent-orchestration-the-value-isnt-in-individual-agents-its-in-who-coordinates-them","status":"publish","type":"insights","link":"https:\/\/askme.it\/en\/insights\/ai-agent-orchestration-the-value-isnt-in-individual-agents-its-in-who-coordinates-them\/","title":{"rendered":"AI agent orchestration: the value isn’t in individual agents, it’s in who coordinates them"},"content":{"rendered":"
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Multi-agent systems are collections of AI agents that interact to achieve individual or shared, complex objectives. They can be developed and deployed in a single environment or independently in distributed environments. This is Gartner’s definition, and it describes an operational reality very different from that of a single chatbot or AI assistant: systems where intelligence is distributed across multiple specialized components that must coordinate to produce a coherent result.<\/p>\n

The market has absorbed this direction with significant speed: Gartner reports a 1,445% increase in inquiries about multi-agent systems between Q1 2024 and Q2 2025.<\/p>\n<\/section>\n

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From task-specific agents to agentic ecosystems<\/h2>\n

Gartner describes the evolution of agentic AI in five stages. In the first phase, agents are task-specific, integrated into single applications. In the second and third phases, the agent becomes capable of managing multi-step workflows within a single application. In the fourth phase, by 2028, networks of specialized agents will dynamically collaborate across multiple applications and business functions, allowing users to achieve complex goals without interacting with each application individually. In the fifth stage, by 2029, at least 50% of knowledge workers will have developed new skills to work with, govern, or create AI agents on demand for complex tasks.<\/p>\n

The main value leap occurs in the transition from the third to the fourth phase: when agents can coordinate across application boundaries, automation stops being an incremental improvement to existing processes and becomes the reengineering of processes themselves.<\/p>\n<\/section>\n

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How a multi-agent system works<\/h2>\n

Gartner describes the fundamental architecture of multi-agent systems as a division of labor among specialized agents, each focused on a specific task, with an orchestration layer that coordinates their work toward a shared objective. Multi-agent systems allow organizations to rethink and redesign complex processes, products, and experiences by breaking workflows into manageable steps. Each step is handled by the most suitable agent, accelerating innovative automation and improving efficiency. Proven agents can be reused across different workflows, improving reliability and scalability while reducing the errors that plague monolithic AI systems.<\/p>\n

Gartner identifies the strategic value in the orchestration layer, not in individual agents: business value is shifting from AI models to agentic orchestration. As systems of record give way to systems of action and individual agents give way to orchestrated outcomes, competitive advantage is built by codifying domain process logic into blueprints that ensure reliability and demonstrate results.<\/p>\n<\/section>\n

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The risks of orchestration: compounding error and expanded attack surface<\/h2>\n

Multi-agent systems introduce risks that don’t exist in monolithic AI systems. Gartner identifies four main ones. The first is compounding error: in a system where one agent’s output becomes the next agent’s input, an error propagates and amplifies along the chain. An agent that extracts information inaccurately doesn’t just fail its own task: it contaminates all subsequent tasks that depend on that information. Output validation at every step is an operational necessity, not an option.<\/p>\n

The second is the expanded attack surface: more agents mean more credentials, more access points, more potential attack vectors. Machine identity management is already one of the top cybersecurity trends for 2025 according to Gartner; in a multi-agent system this problem multiplies for every agent in the system. The third is non-linear cost: interactions between agents generate computational and latency costs that are not linear relative to the number of agents and can produce significant surprises in production. The fourth is monitoring complexity: observing the behavior of a multi-agent system requires far more sophisticated observability tools and practices than those used for monolithic AI systems.<\/p>\n<\/section>\n

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Architectural requirements for a multi-agent system that scales<\/h2>\n

Gartner identifies the fundamental architectural requirements for enterprise-class multi-agent systems. Modular, event-driven design with semantic layers enables fast, secure, and scalable access to multidimensional data, simplifies collaboration between agents, and ensures flexibility for future updates. Modular design also supports interoperability with third-party agents, an increasingly relevant requirement as agentic ecosystems extend beyond organizational boundaries.<\/p>\n

Robust governance frameworks, continuous testing pipelines, and transparent monitoring are essential requirements for building reliable multi-agent systems. Governance, security, accountability, and risk management must be integrated into every layer of the system from the design stage. The correct approach is to adopt governance, observability, and compliance frameworks from the start, use orchestrated workflows, and validate agent actions and outputs at every step.<\/p>\n<\/section>\n

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Who coordinates whom: the supervisor problem<\/h2>\n

A well-designed multi-agent system includes a coordination layer that Gartner associates with what it calls the “orchestration layer”: the component that receives a high-level objective, decomposes it into tasks, assigns tasks to the appropriate agents, manages dependencies between tasks, collects and integrates results, and handles exceptions when an agent fails to complete its task.<\/p>\n

By 2028, 40% of CIOs will require that “Guardian Agents” be available to track, supervise, or autonomously contain the results of AI agent actions, according to Gartner’s prediction. Guardian Agents are the architectural answer to the control problem in systems where the number of agents and interactions grows beyond the capacity for direct human supervision. They don’t eliminate human oversight: they move it to the level of the supervision system, not the individual agents. This is the correct design for systems that must scale without losing governance.<\/p>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

Gartner reports a 1,445% increase in inquiries about multi-agent systems from Q1 2024 to Q2 2025. By 2028, networks of specialized agents will dynamically collaborate across multiple applications and business functions. The real challenge isn’t building agents: it’s coordinating them.<\/p>\n","protected":false},"featured_media":34608,"menu_order":0,"template":"","insights_category":[545],"insights_tags":[585,597,633,789,801],"class_list":["post-34606","insights","type-insights","status-publish","has-post-thumbnail","hentry","insights_category-agentic-ai-en","insights_tags-agentic-ai-en","insights_tags-ai-architecture","insights_tags-automation","insights_tags-multi-agent-systems","insights_tags-orchestration"],"acf":[],"_links":{"self":[{"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights\/34606","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights"}],"about":[{"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/types\/insights"}],"version-history":[{"count":1,"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights\/34606\/revisions"}],"predecessor-version":[{"id":34607,"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights\/34606\/revisions\/34607"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/media\/34608"}],"wp:attachment":[{"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/media?parent=34606"}],"wp:term":[{"taxonomy":"insights_category","embeddable":true,"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights_category?post=34606"},{"taxonomy":"insights_tags","embeddable":true,"href":"https:\/\/askme.it\/en\/wp-json\/wp\/v2\/insights_tags?post=34606"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}