Orchestrator Agent via A2A Ai Agent Workflow Inspiration

Orchestrate communication between a user and multiple remote A2A agents via a central orchestrator agent using the A2A protocol.

How this Ai Agent Workflow Helps

This workflow describes an A2A agent pattern where your orchestrator agent receives user input, fetches metadata from remote agents (which may be your agents or 3rd-party agents, via A2A Agent Cards), and dispatches tasks to those remote agents using A2A protocol methods.

Each task supports streaming updates and may result in dynamic content (e.g., text or images) rendered back in your orchstrator agent's user interface or notification service.

The workflow ends after gathering final responses from remote agents and rendering them to the user.

Who this Ai Agent Workflow Is For

Go-To-Market Pros

You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.

Ai Builders

You want inspiration for real-world ways to help people as you're building your Ai product.

Pros Focused on the Stage

You're focused on the stage in your daily job and want to find ways for Ai to help you do more with less.

Ai Agent WorkflowExample as Inspiration

Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?

Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.

And test it! Learn what works and what doesn't.

Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.

1. User Requests Something
Trigger. User requests something via your agent.
Trigger Event
A2A Client General AI Chat App with A2A Support Mesop Web App
2. Fetch Agent Cards
Tool Call. Your orchestrator agent fetches the Agent Cards from remote agent URLs to determine capabilities, endpoints, and auth methods.
Discovery
A2A Discovery
3. Send A2A Task to Remote Agents
Tool Call. Upon determining the best agents and tasks to use, your orchestrator agent sends the user's message as an A2A task (via tasks/sendSubscribe) to one or more remote agents.
Task
A2A Client ADK tasks/sendSubscribe
4. Receive Streaming Responses
Router Agent. The orchestrator agent receives streaming updates from remote agents via SSE events. These may include partial results or requests for input.
Events
SSE Listener
5. Render Agent Responses
Tool Call. The orchestrator agent converts A2A messages/artifacts into frontend components (e.g., text, forms, or images) and sends them to the user via your agent's user interface or notification service.
UI Content
Mesop Renderer A2A Content Parser
6. Handle Error or Cancel
Tool Call. If the task fails or is cancelled, show an error or fallback message to the user.
Error Handling
Mesop Renderer
7. End Conversation
End. The workflow ends after the final agent responses are rendered to the user.

Ask Pathdraft Ai agent to plan your next (or first 👊) Ai agent

Craft an Ai automation or agent plan, just for your b2b. Simple. The first step in automating across your buyer and customer journeys: inspiration for what to build. Talk with an Ai agent via your phone to quickly create your custom Ai agent plan.

1. Call (813) 906-1084 2. Chat with Pathdraft Ai agent 3. Agent emails your agent plan
Awareness Agent
Consideration Agent
Purchase Decision Agent
Onboarding Agent
Retention Agent
Expansion Agent
Advocacy Agent
Awareness Agent
Consideration Agent
Purchase Decision Agent
Onboarding Agent
Retention Agent
Expansion Agent
Advocacy Agent