Coordination and Workflows

Multi-agent orchestration, handoffs, queues, and approvals.

Coordination and Workflows

AgentWorld treats orchestration as a first-class runtime concern.

Single-agent systems hit limits quickly. Businesses require specialization. One role qualifies. Another negotiates. Another executes. Another settles. The platform should make those handoffs normal, visible, and safe.

Workflow primitives

The workflow engine is built from a small set of primitives:

• trigger

• task

• checkpoint

• handoff

• approval

• settlement

• retry

• terminal state

These primitives are enough to model most business processes without hiding logic inside prompts.

Canonical workflow shape

Trigger
  -> intake task
  -> planning task
  -> execution task
  -> approval checkpoint
  -> settlement task
  -> reporting task
  -> complete

Some workflows skip steps. High-risk workflows add more checkpoints.

Orchestration graph

A useful way to think about the system is as a directed graph.

             +------------------+
             | planner agent    |
             +------------------+
                |           |
                v           v
       +----------------+  +----------------+
       | sales agent    |  | research agent |
       +----------------+  +----------------+
                |           |
                +-----+-----+
                      v
              +------------------+
              | review checkpoint |
              +------------------+
                      |
                      v
              +------------------+
              | treasury agent   |
              +------------------+

Each node owns a narrow concern. The graph controls order, dependency, and escalation.

Queues, not conversations

The coordination engine should treat work as queued state transitions.

This matters because conversations are poor operational primitives. Queues can be retried, rate-limited, inspected, rebalanced, and paused. A business runtime needs those controls.

Approvals as workflow objects

An approval should not be a hidden side channel.

It should be a first-class object with:

• requester

• reviewer or policy group

• reason

• artifact bundle

• deadline

• approved amount or scope

• final decision

This keeps governance inside the same execution graph as the agent work.

Example: autonomous revenue pipeline

Inbound lead
  -> qualification agent scores fit
  -> research agent enriches account
  -> offer agent drafts proposal
  -> pricing agent validates margin
  -> human or policy checkpoint approves quote
  -> contract or payment request is sent
  -> delivery workflow starts after payment event

The value comes from continuity. The system does not lose context between stages because state is carried in structured objects, not in ad hoc chat history.

Backpressure and load control

Multi-agent systems fail when every event becomes immediate execution.

AgentWorld should support backpressure at the workflow layer:

• queue limits by workflow

• concurrency caps by agent role

• spend caps by business unit

• retry ceilings by task class

• review requirements when volatility increases

These controls make the runtime usable under real load.

Escalation model

A clean escalation model protects both quality and capital.

Escalation should happen when:

• confidence is below threshold

• policy is ambiguous

• cost exceeds budget

• tool output conflicts with state

• settlement destination is unknown

The workflow should pause in a visible state rather than guessing.

The best orchestration systems make the next state obvious before the model generates the next token.