PLATFORM · ORCHESTRATOR
Multi-agent coordination as engineering infrastructure.
Orchestrator is the runtime that turns a collection of agents into a coordinated workflow your operations team can monitor, your audit team can trace, and your SRE can page on. Routing, retries, idempotency, durable state, structured handoffs — first-class, not bolted on.
Agents as services with contracts.
We treat each agent as a service with an explicit contract — typed inputs, typed outputs, declared side-effects, declared tools. Orchestrator is the system that composes those contracts into workflows: which agent receives which input, under which conditions, with which fallback if the contract is violated.
Every handoff between agents is a structured event. The output of agent A becomes the input of agent B with an explicit transformation, not a free-text rewrite. The runtime records the transformation, the latency, the resulting state — all queryable in Observe, all chained into the audit trail.
When an agent fails, the failure is a typed runtime event, not a stack trace stuck in a log file. The system retries, falls back, escalates, or queues for human review based on the policy bound to that step.
What Orchestrator gives you.
Durable state
Workflow state survives restarts, deployments, and runtime upgrades. Long-running workflows checkpoint after every consequential step; resumes are exact, not best-effort.
Idempotent steps
Every step has an idempotency key. The runtime guarantees at-least-once execution; the step contract guarantees exactly-once observable effect. Re-runs do not double-charge, double-write, or double-message.
Typed handoffs
Agents declare what they accept and what they emit. Orchestrator validates handoffs at runtime; contract violations are routed to a typed error path, not a generic catch.
Observable by default
Every workflow run, every agent invocation, every tool call, every handoff is a span in Observe. Search, filter, drill down, export — without enabling a feature flag.
Failure is a first-class concern.
Orchestrator was designed by engineers who have operated production systems and know that the interesting question is not what happens when a workflow succeeds. It is what happens when one agent times out, one tool returns a malformed response, one model is rate-limited, and one human approver is on leave.
Every step in an Orchestrator workflow declares its retry policy, its fallback step, its escalation path, and its SLA. Workflows that violate their SLA are routed to a configurable handler — page on-call, queue for review, mark as degraded — not silently abandoned.
When something does fail, the failure carries forward in the run record. Operations teams see why a workflow degraded; engineering teams see what to fix; auditors see what the system did and did not do, all in the same trace.
Pilot Orchestrator on a multi-agent workflow.
Orchestrator pilots are best run on a workflow that already exists — one your operations team currently coordinates by hand, by ticket, or by Slack. Bring the workflow; we bring the runtime, the contracts, and the trace tooling. Pilots run six to ten weeks in your sovereign environment.