AI Agent Orchestration: the next step in the Hyperautomation Journey
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The evolution of automation, from traditional RPA to AI agents, has profoundly transformed the way companies operate. Organizations that have already advanced in intelligent automation now face a new challenge: how to coordinate, control, and scale a growing number of autonomous agents operating simultaneously across different stages of processes. The answer lies in the intelligent orchestration of these technologies.
But how has agent orchestration become a central piece for companies seeking to operate at greater scale? To understand this strategic role, it is necessary to analyze how Agentic AI is enabling a new operational model, evaluate the contribution of technologies that help organize this ecosystem, and analyze real results from companies already implementing agent orchestration.
What is agent orchestration?
AI agent orchestration is the layer responsible for coordinating, supervising, and harmonizing the work of multiple agents within the same organization. Instead of letting them operate in isolation, orchestration establishes an intelligent flow where they collaborate with each other, exchange information, prioritize tasks, and trigger human supervision when necessary.
Unlike traditional automations, which follow fixed rules and predefined sequences, agents operate based on goals and context. This autonomy expands their potential, but also increases the need for a control structure. Orchestration acts as a central hub that ensures governance, versioning, security, compliance, and traceability across the entire agent ecosystem.
Why does this matter?
“The next big step in Hyperautomation is the full orchestration of technologies that companies are still understanding and maturing,” says Allexley Bernacchi, CEO & Founder of Smarthis.
The importance of orchestration grows as the number of agents, automations, and workflows increases within organizations. Without orchestration, companies tend to face redundancies, inconsistencies, bottlenecks, and operational risks. With orchestration, they can transform a set of isolated initiatives into a continuous, scalable, results-oriented operational model.
Real results
The advancement of orchestration and intelligent automation is already being recorded by different institutions. Gartner points out that companies combining automation with coordinated agents can accelerate productivity by up to 40% and substantially reduce decision-making time, especially when generative AI is involved.
UiPath success cases show significant reductions in cycle times and relevant increases in operational efficiency in areas such as Finance, Supply Chain, and Customer Service. McKinsey also highlights gains between 20% and 60% in efficiency in back-office processes when AI and automation act in an integrated manner.
Meet UiPath Maestro
UiPath Maestro is a platform that allows companies to centrally coordinate agents. Maestro offers mechanisms to manage priorities, distribute tasks, maintain context across agents, apply business rules, and monitor end-to-end performance. It also provides complete observability, integrating logs, telemetry, auditing, and metrics in a single environment.
Maestro connects to UiPath Orchestrator, traditional automations, and external connectors, acting as a top layer that allows AI agents, robots, and humans to work in a coordinated manner across complex flows. It materializes, in practice, the vision of a truly agentic automation environment.
Smarthis: UiPath Diamond Partner with AI-Powered Automation | Smarthis
Take the next step
Smarthis supports organizations in all phases of the Hyperautomation journey, from assessment to continuous operations, ensuring that every automation, agent, or orchestrated flow truly delivers results.
Our team of specialists is ready to identify opportunities, implement coordinated flows, and monitor performance to ensure continuous evolution in companies across multiple sectors.
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