Orchestrate provides the durable execution layer for enterprise workflows. The workflow owns the lifecycle while rules, AI, agents, people, and tools participate as needed so work can pause, recover, gather evidence, cross systems, and finish with identity and accountability intact.
Enterprise work outlives any single model call or agent session. Orchestrate keeps the workflow as the durable system of record for state, evidence, authority, approvals, recovery, and outcome.
The workflow persists while agents, people, tools, and models come and go.
Known steps stay deterministic. AI and agents are invoked only where judgment or discovery adds value.
Identity, authority, policy, credentials, and audit follow the work across every participating system.
A specialist agent may exist for seconds. A human approval may arrive tomorrow. A business process may run for days. Orchestrate keeps one durable workflow identity and state across all of them.
Repeat what is already known
Interpret ambiguity and exceptions
Investigate and collaborate
Add judgment and authority
Read, write, and take action
Orchestrate does not force every process into an agent. A workflow can stay fully deterministic, call AI for selected decisions, or coordinate multiple specialist agents and mix all three without changing its identity, state, or governance model.
Durable exception resolution across ERP, supplier communications, compliance checks, approval gates, and final posting.
A durable workflow calls a model only where interpretation, classification, synthesis, or exception judgment adds value.
Orchestrate can spawn specialist agents in parallel, coordinate their work, join evidence, adapt to findings, and preserve workflow state and identity across every delegation.
Multi agent orchestration is a capability inside Orchestrate not the control plane for every process. Use it when parallel investigation, specialization, or adaptive discovery earns its cost.
state · grant · objective evidence index
investigate signals
analyze evidence
classify indicators
ALL · ANY · MAJORITY · CRITICAL ATH · TIMEBOXED
synthesize · decide · approve · act · verify
Specialists can investigate independent dimensions at the same time instead of serializing discovery.
The parent resumes when the configured evidence condition is met not simply when every agent has finished.
Agents can appear and disappear while durable state, authority, evidence, and audit remain attached to the workflow.
Orchestrate externalizes facts, artifacts, confidence, provenance, and working memory so reasoning does not depend on replaying an ever-growing conversation. Agents and people contribute evidence; the workflow preserves it beyond any individual participant.
Workers, tools, and people can write structured findings into session-scoped storage. The workflow keeps the evidence after the producing agent has completed.
Structured working memory keeps durable knowledge separate from raw model history—including human context that may never exist in a source system.
The parent inspects a compact manifest first, reads high-priority evidence, and expands only when the next decision still needs more context—reducing context growth in multi-agent workflows.
Ingress admits the work. Durable communication carries events and waits. Execution runs deterministic and agentic steps. Externalized storage preserves state and evidence. Identity and governance cut across all four planes.
Caller identity, run authority, policy, and destination credentials stay distinct. As a workflow moves through people, agents, and systems, Orchestrate preserves who initiated the work, what the run may do, and which action is allowed now.
The workflow persists while agents, people, tools, and models come and go.
Materializes run-scoped authority at ingress. The work carries a grant reference rather than the caller's raw standing token.
Evaluates side-effecting actions against the operating envelope before they cross the egress boundary—allow, deny, or require step-up.
Mints just-in-time, per-step downscoped credentials for the destination. Planners and workers remain token-blind.
Transport identity is verified, session context is established, delegation depth is checked, and run authority is materialized before the message enters execution.
One enforcement point validates the grant, checks policy, resolves the resource, obtains a narrow credential, propagates principal context where supported, calls, and audits.
The on-ramp starts with the process you already have. A structured design conversation identifies known steps, decisions, tools, approvals, evidence needs, and exceptions then assigns deterministic, AI-assisted, or multi-agent execution where each belongs.
A guided interview probes happy paths, edge cases, failure modes, decisions, and escalation rules, then produces the process and integration artifacts that feed the workflow design.
Describe a specialist role in natural language, bind its tools, define the expected output contract, compose its prompt layers, and test against sample inputs before deployment.
Compose orchestrator/worker topologies, assign capabilities, configure join strategy and synthesis behavior, then package the solution as a versioned deployable unit.
An AI-assisted design conversation interrogates the process like a solution architect and produces a structured Builder Intake Document and solution design. The structured intake feeds the builder so the design conversation and deployed topology can remain aligned without coupling the architecture to one model provider.
Operators need to know whether the business work is progressing, what it is waiting for, which evidence and decisions shaped it, what changed in external systems, and which people or agents participated. Orchestrate records that lifecycle as first-class runtime data.
See the current step, active branches, waits, approvals, retries, and meaningful interim findings while the workflow is still running.
Reconstruct which agents, sub-workflows, people, and tools participated, what they returned, and why the workflow advanced.
Record acting identity, authority, policy decision, evidence references, operation, target, and before/after state for consequential actions.
Track model usage, tokens, latency, worker activity, connector health, errors, retries, and platform metrics alongside the business workflow.
The same governed workflow can be started by an application, API, event, person, parent workflow, orchestrator, or A2A capable agent. Invocation changes; execution, identity, durability, and audit semantics do not.
This reference trace exercises the multi-agent path inside the same workflow model: authenticated ingress, parallel specialists, a critical-path join, selective evidence reads, durable waiting, and governed action.
Ingress authenticates the caller, extracts incident context, mints the run-scoped Grant, and admits the session.
It selects three workers, computes the search window, and chooses a CRITICAL PATH join.
Branch specifications are registered, worker messages enter the durable bus, and the parent session moves to WAITING.
Network analysis, host forensics, and threat classification each write structured sections into the ArtifactStore.
The required branches complete; the optional classifier is stopped cooperatively and a JoinResult resumes the parent.
It inspects the artifact table of contents, then retrieves the must-read cross-branch evidence needed for synthesis.
The resulting incident update passes through identity, policy, destination resolution, and audit before the backend call.
Walk anything from a governed account-creation process to a multi-day, multi-agent operation through the architecture from execution method and evidence to identity, recovery, tools, and audit.
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