For years, we've thought of AI as a soloist: a virtual assistant, no matter how sophisticated, tasked with answering any question on its own. But real business processes don't work like that. They're complex flows, made up of intertwined steps, decisions, and different skills. Entrusting everything to a single agent limits the potential of artificial intelligence.

It is starting from this awareness that we have developed the new section Orchestrators of XR Copilot: a feature that marks a paradigm shift in the way companies can design intelligent workflows, where multiple AI agents collaborate, pass information to each other and make decisions in a coordinated manner.

No longer a soloist. An entire orchestra.

The conductor of artificial intelligence

An orchestrator, in XR Copilot's vision, is exactly what the name evokes: a director capable of coordinating multiple AI agents, organizing them into a structured sequence of steps called Step. But unlike a static musical score, the orchestrator can dynamically adapt to the context, evaluate conditions, make agents work in parallel or transfer control from one agent to another through mechanisms of hand off.

Imagine an advanced customer care scenario: the customer initiates a conversation and a first triage agent identifies the nature of the request. Based on the analysis, the flow automatically passes to an agent specialized in technical support, one dedicated to sales issues, or one who handles complaints. And what if the situation requires multiple checks? The agents can work in parallel, each analyzing a different aspect, then converge on a unified and coherent response.

This is the heart of the orchestration: Transforming AI from a reactive tool to a proactive system, capable of governing end-to-end processes with intelligence and flexibility.

Anatomy of an intelligent flow

The Orchestrators section of XR Copilot offers a visual and intuitive interface for building complex workflows without writing a single line of code. Each orchestrator is composed of interconnected steps, each with a specific role in the flow.

The available step types allow you to model practically any scenario:

AI Agent —The fundamental building block: a step executed by a specific agent, trained for a well-defined task. It could be the agent that answers FAQs, the one that analyzes a document, or the one that queries the Video Agent to extract information from a tutorial.

Condition —The smart fork: a step that evaluates one or more rules and directs the flow towards alternative paths. If the customer has a premium contract, follow this path. If the request concerns a return, divert to this other one. The conditions can be configured in simple mode, with a guided interface, or in JSON mode for more complex logic.

Parallel group — The power of simultaneity: multiple agents working simultaneously on the same input, each contributing their own input. Think of analyzing a complex document where one agent extracts financial data, another verifies regulatory compliance, and a third summarizes key points.

Handoff group — Intelligent baton handoff: a mechanism that transfers control of the conversation to a specific agent based on the user's request. The customer themselves, through their own input, determine which specialist should handle the situation.

Termination — The conclusion of the workflow, the point at which the orchestration completes and returns the final result to the user.

The Traveling Context: Input and Output Mapping

One of the most powerful features of the orchestrator is the ability to make information travel between one step and another through the workflow context.

Each step can receive data from previous steps via theInput Mapping: defines which context variables should be passed to the running agent. And it can return its results to the context via theOutput Mapping, so that subsequent steps can use them.

This means that the orchestrator is not a simple chain of isolated agents: it is a system where knowledge accumulates, transforms, and enriches itself step by step. The agent that intervenes last has access to everything that was processed before it.

It is also possible to define a structured scheme for the expected output, ensuring that agent responses adhere to an accurate format that can be used by downstream systems.

Test, verify, refine

Designing a complex workflow requires the ability to test its functionality before deploying it to production. That's why the Orchestrators section includes built-in testing tools.

The function Workflow Verification allows you to simulate the orchestrator's execution by sending test messages and observing how the flow develops step by step. On the side, the panel Execution log It shows in real time the times, information messages, any errors and technical details of each step.

For an even more realistic experience, the mode Chat Preview opens a full-screen window that reproduces a real conversation with the orchestrator, highlighting in real time the activated logical steps, the transitions between steps, and the agents' responses.

Once validated, the orchestrator can be shared via Agent Endpoint: a link and a QR code that allow you to test or deploy the created flow, with all the configuration options already available for single agent endpoints.

From Assistant to System: A New Operating Model

The introduction of orchestrators marks a profound evolution in the way companies can think about AI.

It's no longer about building increasingly more capable chatbots, but about designing ecosystems of specialized agents who work together as a close-knit team. Each agent does what they do best, the orchestrator coordinates the work, and the context flows seamlessly.

It's a model that mirrors the functioning of real organizations, where complex problems are solved through the collaboration of diverse expertise. And it allows artificial intelligence to scale far beyond the limits of a single assistant.

With orchestrators, XR Copilot no longer just responds: acts, coordinates and implements.

The orchestra is ready. It's time to conduct.

The Orchestrators section is available today in XR Copilot. Whether you're redesigning customer care, automating complex internal processes, or building multimodal conversational experiences, the tools to do it are at your fingertips.

A no-code interface for designing sophisticated workflows. Specialized agents ready to collaborate. An integrated testing system to validate every scenario. And the power of the XR Copilot ecosystem, with its Video, Analyst, and Answers agents, available for every workflow.

The future of enterprise AI isn't made up of virtuoso soloists. It's made up of perfectly synchronized orchestras.