Multi-Agent Workflow
When a business outcome needs more than one accountable responsibility, coordination becomes the design problem.
Intake
Supervisor
Specialist A
Work Product
Approval Checkpoint
Specialist B
Outcome
Coordination Layer — Every Stage Shares This
What It Is
A coordinated system of independent AI responsibilities that divides a business process into stages, shares context and durable state between them, and routes work to the right specialist at the right time — with human checkpoints and evaluation around the whole system, not just one step.
When It Fits
This fits when
- The outcome requires more than one distinct area of responsibility
- Work needs to persist and hand off across multiple stages
- Different stages call for different knowledge, tools, or judgment
- The process benefits from a supervising responsibility that sequences the work
Look elsewhere when
- One bounded responsibility can already own the whole outcome
- There's no durable state or handoff between stages
- The coordination overhead would outweigh the workflow's complexity
Coordination Patterns
Supervisor / Specialist
A supervising responsibility routes work to specialists and reconciles their output into one outcome.
Sequential Handoff
Each specialist owns a stage and passes durable state forward once its stage is complete.
Parallel with Reconciliation
Specialists work concurrently on independent parts of a request before a final step reconciles the result.
Human Control
Approval Checkpoint
Every stage transition that meaningfully changes the outcome passes through a defined human control point before the workflow advances.
Durable State Between Stages
Multi-Agent Workflows carry context, decisions, and artifacts across stages so no specialist has to re-derive what a prior stage already established. State is versioned, auditable, and recoverable if a stage fails.
Examples
Illustrative patterns, not a list of completed customer deployments.
Intake → Research → Draft → Review
A supervising responsibility routes a request through research and drafting specialists before a human reviews the final output.
Cross-System Case Resolution
Specialists gather information from multiple connected systems, reconcile it, and hand a resolved case to a human for approval.
Structured Multi-Party Process
Independent specialists own distinct parts of a business process that converge on one coordinated outcome.
How We Validate It
- Acceptance suites for each specialist and for the coordinated outcome
- State-handoff and recovery testing between stages
- Human checkpoints reviewed at every required approval point
- Failure and timeout handling for each specialist
- A documented deployment baseline before go-live
Evaluation Loop
- Per-specialist task completion
- End-to-end outcome quality across the full workflow
- State-handoff integrity between stages
- Escalation and checkpoint accuracy
What Happens After Launch
After launch, a Multi-Agent Workflow moves into Managed Intelligence, or into a documented customer-operated ownership handoff — with the coordination boundaries and state ownership defined before go-live.