Interactive Explainer

4 Agentic Workflow Patterns

How AI agents break complex tasks into automated steps. Click each pattern below to watch it animate with real AnyCompany Insurance scenarios.

๐Ÿ“– Reference โšก Animated ๐Ÿฅ Insurance Examples
Pattern 1

๐Ÿ”— Prompt Chaining

Sequential steps โ€” the output of one becomes the input of the next. Trades speed for accuracy. Each step can be tested and retried independently.

๐Ÿ“„ExtractRead claim form
๐Ÿ”ValidateCheck policy coverage
โš–๏ธDecideApprove / Escalate
๐Ÿ“ŠReportGenerate decision
Press Play to watch a claim flow through the chaining pipeline step by step.
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๐Ÿ’ช Strengths

  • Easy to understand and debug
  • Each step testable independently
  • Preserves context across steps
  • Supports rollback and retry

๐Ÿฅ Best For (Insurance)

  • Claims intake and adjudication pipelines
  • Underwriting assessment workflows
  • Policy endorsement processing
  • Data extraction โ†’ validation โ†’ decision
๐Ÿ’ก
Workshop connection: Chaining = task decomposition. Each box is a prompt template. The chain connects them into a pipeline.
Pattern 2

โšก Parallelization

Multiple tasks run simultaneously on the same input. An aggregator combines the results into a unified answer. Faster and more thorough than sequential.

๐Ÿ“‹Applicant DataApplication to assess
๐Ÿ›ก๏ธMedical UWHealth risk view
๐Ÿ“ˆFinancial UWIncome adequacy
โš–๏ธComplianceRegulatory check
๐ŸŽฏDecisionPreferred / Standard / Decline
Press Play to watch 3 underwriting perspectives assess the same applicant data simultaneously.
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๐Ÿ’ช Strengths

  • 3x faster than sequential
  • Multiple perspectives on same data
  • Each branch is independent
  • Aggregator resolves conflicts

๐Ÿฅ Best For (Insurance)

  • Life insurance underwriting (Medical + Financial + Compliance)
  • Claims fraud detection (velocity + amount + geography)
  • Multi-perspective risk assessment
  • Voting / consensus decisions
๐Ÿ’ก
Workshop connection: This is the multi-agent pattern โ€” same data, multiple perspectives. Now automated as parallel agents.
Pattern 3

๐Ÿ”€ Routing

Classify the input and direct it to the right processing path. Like a smart mailroom โ€” each claim type gets its own optimized workflow.

๐Ÿ“จIncoming ClaimUnknown type
๐Ÿท๏ธClassifierWhat type of claim?
๐Ÿ“„Health ClaimMedical โ†’ Validate โ†’ Adjudicate
๐ŸงพMotor ClaimAssess โ†’ Estimate โ†’ Settle
๐Ÿ“‘Life ClaimVerify โ†’ Investigate โ†’ Pay
Press Play to watch a claim get classified and routed to the right workflow.
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๐Ÿ’ช Strengths

  • Handles diverse input types automatically
  • Each path optimized for its type
  • Can chain with secondary routers
  • Scales to many categories

๐Ÿฅ Best For (Insurance)

  • Claims triage by type (health / motor / life / travel)
  • Customer service request routing
  • Underwriting referral classification (auto / facultative)
  • Regulatory filing by jurisdiction
๐Ÿ’ก
Workshop connection: Routing = persona-based prompting. Different prompts for different claim types, selected automatically.
Pattern 4

๐ŸŽฏ Orchestration

The most complex pattern. A central orchestrator dynamically manages the workflow, spawning subtasks based on conditions and coordinating human-in-the-loop decisions.

Orchestrator
๐Ÿ“ฅIntakeParse claim
๐Ÿ“ŠAssessEvaluate & score
๐ŸšฆDecision GateAuthority limits
โœ…<$5KAuto-approve
๐Ÿค$5Kโ€“$50KAI + Adjuster
๐Ÿ‘ค>$50KSenior adjuster
Press Play to watch a health claim flow through the orchestrator with dynamic decision gates.
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๐Ÿ’ช Strengths

  • Handles complex conditional workflows
  • Spawns subtasks dynamically
  • Human-in-the-loop at decision gates
  • Adapts to unexpected situations

๐Ÿฅ Best For (Insurance)

  • Claims adjudication with authority limits
  • Underwriting decisions (auto / refer / decline)
  • Complex compliance workflows
  • Any process with conditional branching and human oversight
๐Ÿ’ก
Workshop connection: Orchestration = reasoning + guardrails. The orchestrator reasons about what to do next; authority limits define the decision boundaries.
Chain Parallel Route

๐Ÿงฉ Combined: Life Insurance Underwriting

Most real workflows combine 2-3 patterns. This AnyCompany Insurance underwriting pipeline uses routing โ†’ parallelization โ†’ chaining in one pipeline.

๐Ÿ“‹ApplicationNew policy request
๐Ÿท๏ธClassifySimple / Standard / Complex
๐ŸชชMedicalHealth assessment
๐Ÿ’ณFinancialIncome check
๐Ÿ”BackgroundMIB + sanctions
๐Ÿ“ŠRisk ClassCombine results
๐ŸšฆDecisionPreferred / Standard / Decline
Press Play to watch all 3 patterns work together in one life insurance underwriting pipeline.
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๐Ÿงฉ
Key insight: Don't force everything into one pattern. Identify which pattern fits each PART of your process, then combine them. When you design your workflow in the exercise, label each step with its pattern.

๐Ÿ”— Chaining steps

  • Risk Class โ†’ Decision โ†’ Policy Issuance
  • Sequential, context-preserving

โšก Parallel steps

  • Medical + Financial + Background (simultaneous)
  • 3x faster than sequential

๐Ÿ”€ Routing step

  • Classify application complexity first
  • Different paths for simple vs complex

๐Ÿ“ Your workflow

  • Which patterns fit YOUR insurance process?
  • Fill in the Agent Design Canvas