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Coordinate AI agents with control, context, and scale.

Coordinate planner, coder, QA, release, and research agents with shared context, guardrails, and human oversight.

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Orchestration Layer · RUN-4821

Orchestration Layer: Intake Queues, Requests, Events, Triggers. Outcomes Artifacts, Reports, Deployments, Notifications. Human oversight.

  1. Task routing: Intelligent task routing · Route work by skill, context, load, and performance.
  2. Context management: Multi-agent coordination · Coordinate specialised agents across roles, tools, and systems.
  3. Guardrails: Human approvals · Insert reviews and overrides where decisions matter most.
  4. Handoffs: Observability and tracing · Trace handoffs, decisions, and agent performance.
  5. Memory fabric: Shared memory and context · Persist knowledge, state, and artifacts across runs.
  • Deterministic When it matters
  • Human-in-the-loop By design
  • Scale ready Built for enterprise runs

Everything you need to orchestrate agents with precision.

Agent Orchestration manages specialised roles, task routing, context, approvals, and recovery across every run.

Core capabilities · 6

  • Multi-agent coordination

    Coordinate specialised agents across roles, tools, and systems.

  • Intelligent task routing

    Route work by skill, context, load, and performance.

  • Human approvals

    Insert reviews and overrides where decisions matter most.

  • Shared memory and context

    Persist knowledge, state, and artifacts across runs.

  • Observability and tracing

    Trace handoffs, decisions, and agent performance.

  • Failure recovery

    Retry, fallback, and compensate to keep work moving.

See every run. Every handoff. Every outcome.

Monitor queues, live runs, handoff logs, health, and recovery state from one orchestration surface.

Illustrative interface, fictional data. Mission view. Mission M-0156, "Audit log export", moves from intent to release. Planner, Architect, Builder, Reviewer, Security, QA each finish their part and hand the work on; the release drawer ticks its checks, then the human approver signs off.

A structured lifecycle for reliable outcomes.

Every orchestration moves through explicit handoff and review stages.

The swarm lifecycle. One run, six steps. Each robot does its step and hands the box to the next; at Review the work goes back once for changes.

  1. 01 Up next

    Intake

    Capture requests and events.

  2. 02 Up next

    Decompose

    Break work into tasks.

  3. 03 Up next

    Assign

    Route to the best agent.

  4. 04 Up next

    Execute

    Run with tools and context.

  5. 05 Up next

    Review

    Validate and request changes.

  6. 06 Up next

    Deliver

    Close the loop.

Run orchestration the way your team works best.

Choose autonomy and supervision levels by workflow, team, and risk.

Orchestration modes · 4

Orchestration modes
Mode How it runs When to use it

Autonomous

Agents plan, execute, and deliver with minimal interruption.

 Best for high-volume work

Supervised

Agents act with human oversight and approvals at key points.

 Best for risk-sensitive work

Delegated

Humans assign outcomes while agents handle execution.

 Best for distributed teams

Hybrid

Mix autonomy, supervision, and delegation by workflow.

 Best for complex work

Keep exploring the platform.

  • Platform

    Knowledge & Memory

    Persistent organizational context for every mission, agent, and team.

  • Platform

    Integration Mesh

    Connect tools, data, and workflows into one intelligent enterprise mesh.

  • Platform

    Governance Layer

    Govern AI execution with policy, trust, approvals, compliance evidence, and auditability.

Orchestrate smarter. Ship outcomes at scale.

Bring control, context, and confidence to every AI-powered workflow.

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