AgentBrain SOP

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Multi-Agent Orchestration ​

Coordinate fleets of AI agents across every department. Define workflows, set priorities, and let agents collaborate to resolve complex tasks autonomously.

Capabilities ​

  • Visual workflow builder for multi-step agent pipelines
  • Cross-department agent collaboration with handoff protocols
  • Real-time monitoring and intervention controls

What This Solves ​

In most enterprises, individual chatbots or copilots are isolated. A sales question that needs HR policy lookup, finance approval, and a CRM update touches three silos. AgentBrain orchestration lets specialized agents pass work to each other under a shared identity and audit context.

Architecture ​

flowchart TD
  U[User request] --> O[Orchestrator]
  O --> A1[Sales Agent]
  O --> A2[HR Policy Agent]
  O --> A3[Finance Agent]
  A1 --> H[Handoff context]
  A2 --> H
  A3 --> H
  H --> R[Final response]
  R --> L[Audit log]

Workflow Builder ​

The visual workflow builder lets non-engineers compose multi-step agent pipelines:

  • Triggers: cron, webhook, message event, or manual
  • Operators: agent call, tool invocation, conditional branch, parallel fan-out, human approval
  • Outputs: write to channel, update database, notify Slack, store in knowledge base

Handoff Protocols ​

When one agent passes work to another, AgentBrain preserves:

  • The original user identity and RBAC scope
  • The conversation history and intent
  • Tool call results and intermediate state
  • A trace ID that ties every step back to the originating request

Real-Time Monitoring ​

Operators can:

  • Watch any active agent conversation in real time
  • Pause an agent mid-run for human review
  • Inject corrections without losing conversation state
  • Replay any past run from the audit log