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SHEET 01Agent OrchestrationPLATFORM

Orchestrate hundreds of agents as one system.

Trigger, route, coordinate, and scale AI agents across your enterprise. Centralized control with distributed execution: automatically activate agents based on schedules or events, intelligently route tasks to the right specialist, coordinate multi-agent workflows, and scale from dozens to thousands of agents with zero configuration.

  • Event-Driven
  • Auto-Scaling
  • Load Balanced
  • Priority Routing
  • Real-Time Monitoring
10,000+Concurrent agents supported
<50msRouting latency p99
99.99%Orchestration uptime
SHEET 02Centralized Control PlaneLIVE

Monitor and manage all agents from one dashboard.

See real-time status of every running agent. Monitor resource allocation, adjust priorities on the fly, and manage agent pools across departments and teams. The control plane gives you complete visibility and centralized governance without sacrificing agent autonomy or distributed execution.

See real-time status of every running agent. Monitor resource allocation, adjust priorities on the fly, and manage agent pools across departments.

The control plane gives you complete visibility and centralized governance without sacrificing agent autonomy. Review execution telemetry and performance metrics in real time.

Explore control plane
Agent Health847 active12 idle · 2 error
Queue Depth1,247across 6 pools
Error Rate0.03%↓ from 0.08%
Regions3 activeUS-E · EU-W · APAC
Throughput12,847/mintasks processed
Utilization67%avg across fleet
SHEET 03Intelligent RoutingBALANCED

Automatically route tasks to the right agent.

When a task arrives — whether from a user request, API call, or system event — orchestration evaluates the content and complexity, then routes it to the specialist agent best equipped to handle it. Load balancing automatically distributes work across agent pools to prevent bottlenecks and maximize throughput.

When a task arrives — whether from a user request, API call, or system event — orchestration evaluates the content and complexity, then routes it to the specialist agent best equipped to handle it.

Load balancing automatically distributes work across agent pools to prevent bottlenecks and maximize throughput. Rules adapt in real-time based on agent availability and queue depth.

See routing in action
Task routing pipelineRouting
Incoming Taskinvoice_exception · priority: high
Routing Engine
  • Content analysis
  • Priority matching
  • Load balancing
Finance Agent72%q: 14
Triage Agent18%q: 31
Escalation Agent10%q: 3
SHEET 04Orchestration PatternsPTN-01..03

Trigger, handoff, and prioritize at scale.

Deploy proven orchestration patterns that govern how agents activate, collaborate, and handle exceptions across your organization. From event-driven automation to priority queuing, each pattern works out of the box with zero configuration required.

PTN-01

Event-Driven Triggers

Agents activate instantly on system events. New ticket? Triage agent responds. Contract renewal? Automated review launches. Zero manual intervention.

  • Schedule-based activation
  • Webhook listeners
  • System event hooks
  • API-triggered launch
PTN-02

Agent-to-Agent Handoffs

Seamless task delegation between agents. When a process spans departments, orchestration chains specialists with full context preservation.

  • Context passthrough
  • Dependency management
  • Exception handling
  • Execution telemetry
PTN-03

Priority Queuing

Critical tasks get processed first. Dynamically adjust priority based on business rules, SLAs, or escalation triggers. Smart distribution prevents bottlenecks.

  • Dynamic priority levels
  • SLA-based escalation
  • Weighted distribution
  • Bottleneck prevention
SHEET 05How Orchestration WorksPIPELINE

From trigger to scaled execution.

Every orchestration follows the same five-step pipeline. Events trigger agents, the routing engine evaluates and distributes, coordination manages dependencies, scaling handles load, and monitoring closes the loop.

Orchestration pipelineActive
01Trigger

Events, schedules, or API calls activate agents automatically.

02Route

Evaluate content and direct to the right specialist agent.

03Coordinate

Chain agents together with context, dependencies, and exceptions.

04Scale

Horizontal scaling with zero config and automatic load balancing.

05Monitor

Track performance, utilization, and resource allocation in real-time.

10,000+Concurrent agents
12,847/minTasks processed
<50msRouting latency
99.99%Uptime SLA
SHEET 06Scale Without LimitsFLEET

Grow from 10 agents to 10,000.

The orchestration engine scales horizontally with zero configuration. Automatic load balancing distributes work evenly across your agent fleet. Performance monitoring surfaces bottlenecks before they impact users.

The orchestration engine scales horizontally with zero configuration. Automatic load balancing distributes work evenly across your agent fleet.

Performance monitoring surfaces bottlenecks before they impact users. Integrates with enterprise connectors across all departments and systems.

Explore integrations
TierAgentsConcurrencyAuto-Scale
StarterUp to 5010 parallelManual
GrowthUp to 500100 parallelThreshold
EnterpriseRecommendedUp to 10,000UnlimitedAutomatic
CustomUnlimitedUnlimitedCustom rules
SHEET 07Specification NotesFAQ

Questions about agent orchestration

What is AI agent orchestration?

Agent orchestration is the centralized management of multiple AI agents working together. It handles triggering, routing, load balancing, priority queuing, and coordination so hundreds of agents operate as one coherent system rather than isolated bots.

How many agents can be orchestrated simultaneously?

The orchestration layer supports 10,000+ concurrent agents with sub-50ms routing latency. Auto-scaling adjusts capacity based on demand, and priority routing ensures high-impact tasks are processed first.

How does orchestration handle agent failures?

Built-in fault tolerance includes automatic retry, fallback routing, and circuit breakers. If an agent fails mid-task, the orchestrator reassigns work, preserves state, and notifies administrators — no manual intervention required.

Can different agents share context during orchestration?

Yes. The orchestration layer maintains shared context across agent interactions. When one agent completes a step, the next agent in the chain receives full context including data retrieved, actions taken, and decisions made by previous agents.

How is orchestration different from running agents individually?

Individual agents handle single tasks. Orchestration coordinates multi-agent workflows — routing requests to specialized agents, managing dependencies, balancing workloads, and ensuring end-to-end traceability across complex business processes.

SHEET 08Sign-offREADY

Process 10x more work in parallel.

Process 10x more tasks without adding headcount. Route the right work to the right agent automatically.

Capacity
10,000+ concurrent agents
Latency
Routing p99 · <50ms
Uptime
Orchestration SLA · 99.99%
Sheet
08 of 08 · Orchestration

Understand orchestration flows

See how events trigger agents, tasks route to specialists, and workflows scale across your organization.

How It Works

Explore agent library

Pre-built agents for common workflows: triage, routing, data analysis, and more. Combine them for custom orchestration patterns.

Agent Library