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This guide shows how to build eligibility rules that evaluate applicants against multiple criteria and route them through approval workflows.

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What you’ll build

An eligibility decision that:
  • Evaluates applicants against qualification criteria
  • Handles multiple approval paths (auto-approve, manual review, deny)
  • Provides clear reasons for decisions
  • Supports tiered approval thresholds
Want to skip ahead? Download the completed decision and import it directly.

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Decision flow

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Example: Loan pre-qualification

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Input data

{
  "applicant": {
    "age": 32,
    "income": 75000,
    "employmentYears": 4,
    "creditScore": 720
  },
  "loan": {
    "amount": 25000,
    "purpose": "home_improvement"
  }
}

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Step 1: Basic eligibility checks

First, check hard requirements that must be met:

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Step 2: Credit assessment

Evaluate credit score bands:

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Step 3: Calculate loan capacity

Use an expression to determine maximum loan amount:

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Step 4: Determine approval path

Route to different outcomes based on risk:

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Output structure

{
  "decision": "approved",
  "nextStep": "verification",
  "approvedAmount": 25000,
  "creditTier": "good",
  "reasons": ["Meets basic requirements", "Good credit standing"]
}

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Example: Benefits eligibility

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Household income check

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Example: Access control

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Feature access by subscription

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Best practices

Fail fast — Put disqualifying checks first to exit early. Provide reasons — Always output why a decision was made. Handle edge cases — Include catch-all rows for unexpected inputs. Version your rules — Track changes when eligibility criteria update.