Reference Business Patterns

Concrete examples of agent-run businesses built on AgentWorld.

Reference Business Patterns

The best way to understand AgentWorld is to model concrete businesses.

These examples are not product demos. They are reference operating patterns. Each pattern shows how roles, state, policy, and settlement fit together.

Pattern 1: Autonomous service agency

This pattern fits design, research, marketing, or dev services.

Agent set

  • intake agent

  • scoping agent

  • pricing agent

  • delivery coordinator

  • quality review agent

  • treasury agent

Core workflow

lead -> qualification -> scope draft -> pricing -> approval -> payment request -> delivery -> payout split -> report

Why it works

The business has clear checkpoints. Scope can be drafted automatically. Pricing can be constrained by margin policy. Delivery can be decomposed into task queues. Treasury can settle revenue shares after acceptance.

Key controls

  • human approval above quote threshold

  • template validation for client-facing outputs

  • payout allowlists for contractors

  • milestone-based settlement only after acceptance event

Pattern 2: Autonomous support operations

This pattern fits software products, exchanges, and API platforms.

Agent set

  • triage agent

  • knowledge retrieval agent

  • account ops agent

  • refund review agent

  • escalation agent

Core workflow

Why it works

Support has repeatable queues, typed states, and measurable outcomes. Most requests can be classified and routed automatically. Sensitive actions such as refunds or account changes remain policy-bound.

Key controls

  • refund ceilings by customer segment

  • high-risk actions require operator review

  • all account mutations logged with reason codes

  • confidence thresholds determine escalation

Pattern 3: Autonomous growth engine

This pattern fits outbound sales, partnerships, and lead generation.

Agent set

  • research agent

  • segmentation agent

  • offer agent

  • compliance review agent

  • campaign analyst

Core workflow

Why it works

The workflow is data-rich and tool-heavy, but most side effects are low-risk. That makes it a strong early use case. The system can improve throughput without requiring full financial autonomy.

Key controls

  • brand and policy review before send

  • send-rate limits by domain and campaign

  • strict separation between drafting and sending authority

  • response scoring feeds back into targeting state

Pattern 4: Treasury operations desk

This pattern fits DAOs, protocols, and internet-native finance teams.

Agent set

  • reconciliation agent

  • policy monitor

  • payout planner

  • settlement agent

  • audit agent

Core workflow

Why it works

Treasury work is rule-heavy, event-driven, and expensive when wrong. AgentWorld is useful here because it separates proposal generation from signing authority and keeps every transition inspectable.

Key controls

  • signer separation

  • destination allowlists

  • mandatory simulation before submit

  • approval tiers by amount and asset type

Choosing the first pattern

Teams should start with a workflow that has:

  • repeatable inputs

  • clear success criteria

  • limited downside per action

  • strong existing data sources

  • easy human review when needed

That usually means support, research, or outbound before fully autonomous treasury.

Maturity path

A common rollout path looks like this:

  1. Draft-only assistance.

  2. Tool-assisted execution with approvals.

  3. Multi-agent coordination with durable state.

  4. Policy-bound settlement and financial actions.

This path keeps trust aligned with observed reliability.

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