Building Multi-Condition Validation Rules: Understanding Independent Condition Evaluation

Introduction

Real-world business rules often require checking multiple validations on the same transaction. A single sales order might need credit limit validation, discount approval checks, pricing verification, and inventory availability confirmation—each representing a distinct business rule that should be evaluated independently.

Traditional code-based implementations combine multiple checks into complex nested IF statements, creating tangled logic that's difficult to maintain, test, and modify. When one business rule changes, developers must untangle the entire conditional structure.

QUALIA Rule Engine's multi-condition architecture provides a fundamentally different approach: independent condition evaluation. Rather than combining conditions with AND/OR logic, each condition represents a separate business rule that's evaluated independently. This design makes rules easier to understand, maintain, and modify—business users can see exactly which validations apply without deciphering complex boolean logic.

This comprehensive guide explains how QUALIA's two-tier validation model works (Scenarios and Conditions), why conditions are independent rather than combined, how multiple conditions can trigger on the same transaction, practical patterns for complex validation scenarios, and strategies for testing and optimizing multi-condition rule sets.

Understanding QUALIA's Independent Condition Model

The Fundamental Principle: No AND/OR Between Conditions

Critical concept: QUALIA Rule Engine does NOT combine conditions with AND or OR operators. Each condition is an independent business rule that is evaluated separately.

How it actually works:

Rule Set: SALES-ORDER-VALIDATION

Condition 1: Credit Limit Check
  Formula: [18:61] + [36:109] is >[18:59]
  Action: Error "Credit limit exceeded"

Condition 2: Discount Authorization Check
  Formula: [37:11] is >20
  Action: Error "Discount requires approval"

Condition 3: Payment Terms Validation
  Formula: [36:64] is <>[18:27]

Example transaction:


The Two-Tier Architecture: Scenarios and Conditions

QUALIA uses a two-tier validation model:

Tier 1: Scenarios (Pre-filter with AND logic)

Scenarios determine if the rule set applies to this transaction.
Multiple scenarios are combined with AND logic.
ALL scenarios must be TRUE for conditions to be evaluated.

Example:
Scenario 1: [36:1] is 'Order'           // Document type is Order
Scenario 2: [36:109] is >1000            // Amount over $1,000
Scenario 3: [18:39]

Placeholders Used in These Scenarios:

  • [36:1] - Sales Header (Table 36): Document Type (Field 1) - Filters to order documents

  • [36:109] - Sales Header (Table 36): Amount Including VAT (Field 109) - Order total amount

  • [18:39] - Customer (Table 18): Blocked (Field 39) - Customer blocked status

Tier 2: Conditions (Independent business rules)

Conditions are evaluated independently.
Each condition represents a separate business rule.
ALL conditions are checked (no short-circuit).
If a condition is TRUE, its actions execute.
Multiple conditions can trigger on the same transaction.

Example:
Condition 1: {[18:61] + [36:109]} is >[18:59]    // Credit limit
Condition 2: [37:11] is >20                      // Discount check
Condition 3: [36:64] is <>[18:27]

Placeholders Used in These Conditions:

  • [18:61] - Customer (Table 18): Balance (Field 61) - Current customer balance

  • [36:109] - Sales Header (Table 36): Amount Including VAT (Field 109) - Order amount

  • [18:59] - Customer (Table 18): Credit Limit (Field 59) - Maximum credit allowed

  • {[18:61] + [36:109]} - Calculated expression: Total exposure (balance + order)

  • [37:11] - Sales Line (Table 37): Line Discount % (Field 11) - Discount percentage

  • [36:64] - Sales Header (Table 36): Payment Terms Code (Field 64) - Order payment terms

  • [18:27] - Customer (Table 18): Payment Terms Code (Field 27) - Customer default payment terms

Why Independent Conditions?

Clarity and maintainability:


vs. Combined approach (traditional coding):


Benefits of independent conditions:

  1. All violations reported - User sees every problem

  2. Clear ownership - Each rule has specific purpose

  3. Easy modification - Add/remove rules independently

  4. Better messages - Each condition has focused error text

  5. Independent testing - Test each validation separately

QUALIA Rule Engine Multi-Condition Syntax

Scenarios: AND Logic for Pre-Filtering

Multiple scenarios combined with AND:

Rule Set: SALES-VALIDATION
Scenarios:
  1. [37:1] is 'Order'        // Must be order
  2. [37:15] is >100          // Quantity over 100
  3. [37:11]

Placeholders Used in These Scenarios:

  • [37:1] - Sales Line (Table 37): Document Type (Field 1) - Filters to order type

  • [37:15] - Sales Line (Table 37): Quantity (Field 15) - Line quantity

  • [37:11] - Sales Line (Table 37): Line Discount % (Field 11) - Discount percentage

Conditions: Independent Evaluation

Multiple independent conditions:

Rule Set: CUSTOMER-WARNING-FLAGS

Condition 1: New Customer Warning
  Formula: [18:CustomCustomerAge] is <90
  Action: Warning "New customer - review carefully"

Condition 2: High Credit Exposure
  Formula: [18:59] is >100000
  Action: Warning "High credit limit customer"

Condition 3: International Customer
  Formula: [18:35]

Placeholders Used in These Conditions:

  • [18:CustomCustomerAge] - Customer (Table 18): Custom Customer Age Field - Days since customer created

  • [18:59] - Customer (Table 18): Credit Limit (Field 59) - Maximum credit allowed

  • [18:35] - Customer (Table 18): Country/Region Code (Field 35) - Customer country

AND Logic Within a Single Condition

Multiple criteria in one condition's formula:

Rule: High-Value Discounted Order Validation
Scenario 1: [37:15] is >100  // Quantity > 100
Scenario 2: [37:11] is >20   // Discount > 20%
Scenario 3: [37:22]

OR Logic Within Formulas and Scenarios

OR within a single scenario or condition:

Scenario: [37:1] in ['Order','Invoice']
// Document Type is Order OR Invoice (OR within single scenario)

Condition: [18:35] in ['DE','FR','IT','ES']
// Country is Germany OR France OR Italy OR Spain (OR within single condition)

Condition 1: [37:11] is >30
// Discount over 30%

Condition 2: [37:15]

Important: This is OR within a single condition's filter expression, not OR between separate conditions.

Real-World Multi-Condition Patterns

Pattern 1: Multiple Independent Validations

Business scenario: "Sales order requires multiple separate checks"

Rule Set: SALES-ORDER-COMPREHENSIVE-VALIDATION
Trigger Table: 36 (Sales Header)
Trigger Event: Before Insert
Linked Tables: Customer (18)

Scenarios (ALL must pass):
  1. [36:1] is 'Order'                    // Must be order
  2. [36:109] is >0                       // Amount must be positive

Condition 1: Credit Limit Enforcement
  Formula: {[18:61] + [36:109]} is >[18:59]
  Action: Error - "Credit limit exceeded.
  
  Customer: [18:2]
  Credit Limit: $[18:59]
  Current Balance: $[18:61]
  This Order: $[36:109]
  Total Exposure: ${[18:61] + [36:109]}
  
  Cannot proceed without payment or credit limit increase."

Condition 2: VIP Customer Large Discount Alert
  Scenario 1: [18:CustomVIPCustomer] is true
  Scenario 2: [36:176] is >5000
  Action: Email to sales manager - "VIP customer [18:2] receiving $[36:176] discount on order [36:3]"

**Placeholders Used in These Conditions:**
- `[36:1]` - Sales Header (Table 36): Document Type (Field 1) - Filters to order type
- `[36:109]` - Sales Header (Table 36): Amount Including VAT (Field 109) - Order total amount
- `[18:61]` - Customer (Table 18): Balance (Field 61) - Current customer balance
- `[18:59]` - Customer (Table 18): Credit Limit (Field 59) - Maximum credit allowed
- `{[18:61] + [36:109]}` - Calculated expression: Total credit exposure (balance + order)
- `[18:2]` - Customer (Table 18): Name (Field 2) - Customer name
- `[18:CustomVIPCustomer]` - Customer (Table 18): Custom VIP Customer Flag - Boolean for VIP status
- `[36:176]` - Sales Header (Table 36): Invoice Discount Amount (Field 176) - Total discount amount
- `[36:3]` - Sales Header (Table 36): No. (Field 3) - Order number

Condition 3: Payment Terms Mismatch Warning
  Formula: [36:64] is <>[18:27]
  Action: Warning - "Payment terms [36:64] differ from customer default [18:27]. Confirm intentional."

Condition 4: International Order Compliance
  Formula: [18:35] is <>'US'
  Action: Assign - Set Export Review Required = Yes

**Placeholders Used in Conditions 3 & 4:**

Credit Limit: $[18:59] Current Balance: $[18:61] This Order: $[36:109] Total Exposure: $([18:61] + [36:109]) Overage: $([18:61] + [36:109] - [18:59]) Percentage Over: (([18:61] + [36:109] - [18:59]) / [18:59] * 100)%

Cannot proceed. Require:

  • Payment to reduce balance, or

  • Credit limit increase from Credit Manager, or

  • Prepayment for this order

Contact Credit Department at ext. 3000."

Rule 2: Block if Over Limit (Standard) Scenario 1: {[18:61] + [36:109]} is >[18:59] Scenario 2: {[18:61] + [36:109]} is <={[18:59] * 1.5} Scenario 3: [18:CustomVIPCustomer] is false Scenario 4: [36:CustomPrepaid] is false Scenario 5: [18:CustomApprovedCreditExtension] is false // Over limit but less than 50%, no exception criteria met Action: Error - "Order exceeds credit limit.

Customer: [18:2] Credit Limit: $[18:59] Current Balance: $[18:61] This Order: $[36:109] Total Exposure: $([18:61] + [36:109]) Overage: $([18:61] + [36:109] - [18:59])

Exception options:

  • Prepay this order (set Prepaid flag), or

  • Request temporary credit extension, or

  • Reduce order amount to $([18:59] - [18:61]) or less

Contact Credit Department for credit extension approval."

Rule 3: Warning for VIP Customers Over Limit Scenario 1: {[18:61] + [36:109]} is >[18:59] Scenario 2: [18:CustomVIPCustomer] is true // VIP customers get warning, not block Action: Warning - "VIP customer credit limit exceeded.

Customer: [18:2] (VIP) Credit Limit: $[18:59] Total Exposure: $([18:61] + [36:109]) Overage: $([18:61] + [36:109] - [18:59])

VIP customers can exceed credit limit, but review recommended. Confirm you want to proceed with this order."

Rule 4: Small Order Exception Scenario 1: {[18:61] + [36:109]} is >[18:59] Scenario 2: [36:109] is <1000 Scenario 3: {[18:61] + [36:109]} is <={[18:59] * 1.1} // Over limit but order under $1K and total within 10% of limit Action: Warning - "Small order exception: Credit limit exceeded but order under $1,000 and total exposure within 10% of limit. Confirm to proceed."

### Pattern 2: Complex Eligibility Rules

**Business rule**

Rule Set: VOLUME-DISCOUNT-ELIGIBILITY Trigger Table: 37 (Sales Line) Trigger Event: Before Insert, Before Modify Linked Tables: Sales Header (36), Customer (18), Item (27)

Scenarios:

  1. [37:1] is 'Order'

  2. [37:11] is >25 // Discount over 25%

Rule: Volume Discount Eligibility Check Condition: [37:11] is >25 AND NOT ( ([37:15] is >=100) OR // High quantity ([18:CustomCustomerTier] is 'Enterprise') OR // Enterprise customer ([18:CustomYTDPurchases] is >=250000) OR // High annual volume ([27:CustomCategory] is 'Clearance') OR // Clearance item ([36:CustomPromotionalOrder] is true) // Promotional order ) // Discount over 25% but doesn't meet any qualifying criteria

Action: Error - "Discount [37:11]% requires volume discount qualification.

Current order does NOT meet volume discount criteria: ❌ Quantity: [37:15] (requires 100+) ❌ Customer Tier: [18:CustomCustomerTier] (requires Enterprise) ❌ YTD Purchases: $[18:CustomYTDPurchases] (requires $250K+) ❌ Product Category: [27:CustomCategory] (Clearance allowed) ❌ Promotional Order: [36:CustomPromotionalOrder] (not flagged)

To qualify for discounts over 25%, meet at least ONE of:

  • Order quantity 100+ units

  • Enterprise customer tier

  • YTD purchases $250,000+

  • Clearance item category

  • Approved promotional order

Reduce discount to 25% or less, or adjust order to meet qualification criteria."

### Pattern 3: Date Range and Time-Based Conditions

**Business rule**

Rule Set: POSTING-PERIOD-VALIDATION Trigger Table: 81 (Gen. Journal Line) Trigger Event: Before Insert Linked Tables: G/L Account (15)

Scenarios:

  1. [81:5] is <>'<>' // Posting date exists

Rule: Posting Date Outside Allowed Period Scenario 1: [15:CustomAllowHistoricalPosting] is false Scenario 2: [81:CustomCFOApproval] is false

Condition 1: [81:5] is <'2024-01-01' Condition 2: [81:5] is >'2024-12-31' // Date before or after current year // Account doesn't allow historical posting and no CFO approval

Action: Error - "Posting date outside allowed period.

Posting Date: [81:5] Current Period: 2024-01-01 to 2024-12-31 Account: [15:3] ([15:1])

This account does not allow historical posting without CFO approval.

To proceed:

  • Change posting date to current period (2024), or

  • Request CFO approval for historical posting, or

  • Use account that allows historical entries

Contact Accounting Manager at ext. 4000 for guidance."

### Pattern 4: Status and Workflow State Conditions

**Business rule**

Rule Set: ORDER-RELEASE-VALIDATION Trigger Table: 36 (Sales Header) Trigger Event: Before Release (custom trigger) Linked Tables: Customer (18), Salesperson (13)

Rule: Order Release Requirements Condition: [36:CustomStatus] is <>'Approved' AND NOT ( ([18:CustomAutoApprove] is true AND [36:109] is <5000) OR ([13:CustomReleaseAuthority] is true) OR ([36:CustomManagerOverride] is true) ) // Status not approved, and doesn't meet auto-approval criteria

Action: Error - "Order cannot be released without approval.

Order: [36:3] Status: [36:CustomStatus] (requires 'Approved') Customer: [18:2] Amount: $[36:109] Salesperson: [13:2]

Auto-approval criteria NOT met: Customer Auto-Approve: [18:CustomAutoApprove] (requires true for orders <$5K) Order Amount: $[36:109] (requires <$5,000 for auto-approve) Salesperson Release Authority: [13:CustomReleaseAuthority] (requires true) Manager Override: [36:CustomManagerOverride] (requires true)

To release this order:

  • Submit for manager approval, or

  • Request salesperson release authority, or

  • Reduce order below $5,000 for auto-approve customer

Current approval status: [36:CustomApprovalStatus]"

### Pattern 5: Cross-Table Multi-Condition Validation

**Business rule**

Rule Set: ITEM-AVAILABILITY-VALIDATION Trigger Table: 37 (Sales Line) Trigger Event: Before Insert Linked Tables: Sales Header (36), Item (27), Location (14)

Rule: Out of Stock Complex Validation Scenario 1: [27:18] is <[37:15] // Inventory < order qty Scenario 2: [27:CustomAllowBackorder] is false // Backorder not allowed Scenario 3: [36:CustomLocation] is <>[27:CustomMainWarehouse] // Not main warehouse Scenario 4: [14:CustomAllowTransfer] is false // Location doesn't allow transfer Scenario 5: [27:CustomHasSubstitute] is false // No substitute available Scenario 6: [37:CustomCustomerApprovedWait] is false // Customer hasn't approved wait // Complex out-of-stock scenario with no resolution options

Action: Error - "Item not available and no fulfillment options.

Item: [27:3] - [27:Description] Requested Quantity: [37:15] Available at [36:CustomLocation]: [27:18] Shortage: ([37:15] - [27:18])

Fulfillment options evaluated: ❌ Backorder: Not allowed for this item ❌ Main Warehouse: Requires location [27:CustomMainWarehouse], order is [36:CustomLocation] ❌ Transfer: Location [36:CustomLocation] doesn't allow transfers ❌ Substitute: No substitute item configured ❌ Customer Wait: Customer hasn't approved wait time

Cannot fulfill this order as configured. Options:

  • Change location to [27:CustomMainWarehouse] (main warehouse)

  • Reduce quantity to [27:18] (available stock)

  • Select substitute item (if acceptable to customer)

  • Request customer approval for backorder/wait

Contact Warehouse Manager at ext. 6000 for stock status."

## Advanced Multi-Condition Techniques

### Technique 1: Calculated Condition Values

**Using formulas within conditions**

Rule: Margin Below Target on Large Orders Scenario 1: {[37:15] * [37:22]} is >10000 // Line value > $10K

Condition: {([37:22] - [27:22]) / [37:22] * 100} is <15 // Margin percentage < 15%

Calculation 1: {([37:22] - [27:22]) / [37:22] * 100} = (Unit Price - Unit Cost) / Unit Price * 100 = Margin percentage

Calculation 2: {[37:15] * [37:22]} = Quantity * Unit Price
= Line value

Use Scenario to filter for high-value lines first, then check margin.

### Technique 2: Range-Based Multi-Conditions

**Validating values within or outside ranges**

Rule: Suspicious Pricing Detection Scenario 1: [27:CustomCategory] is <>'Special Order' // Not special order

Condition 1: [37:22] is <{[27:22] * 0.5} // Price less than 50% of cost - severe underpricing

Condition 2: [37:22] is >{[27:22] * 10} // Price more than 10x cost - severe overpricing

This catches:

  • Severe underpricing (selling at <50% of cost)

  • Severe overpricing (charging >10x cost)

  • Likely data entry errors

### Technique 3: Temporal Multi-Conditions

**Date-based complex logic**

Rule: Rush Order Validation Scenario 1: [36:76] is <{[TODAY] + 3} // Delivery < 3 days Scenario 2: [36:CustomPriority] is <>'Rush' // Not flagged rush Scenario 3: [36:109] is <500 // Order value < $500 Scenario 4: [18:CustomRushApproved] is false // Customer not rush-approved // All scenarios must match - short delivery time but not properly authorized

Action: Error - "Rush delivery requires authorization.

Requested Delivery: [36:76] Today: [TODAY] Days Until Delivery: {[36:76] - [TODAY]}

Rush delivery (3 days or less) requires:

  • Order flagged as 'Rush' priority, AND

  • Order value $500+ OR customer pre-approved for rush

Current order: Priority: [36:CustomPriority] Value: $[36:109] Customer Rush Approved: [18:CustomRushApproved]

To proceed:

  • Change priority to 'Rush' (may incur rush fees)

  • Adjust delivery date to [TODAY + 4] or later

  • Increase order value to $500+ for rush qualification"

### Technique 4: Negation and Exclusion Logic

**Using NOT to invert complex conditions**

Rule: Standard Customer Restrictions Condition: NOT([18:CustomCustomerTier] in ['VIP','Enterprise','Government']) AND [36:109] is >25000 // Customer is NOT (VIP or Enterprise or Government) // AND order is over $25K

Action: Warning - "Large order for standard customer.

Customer: [18:2] Tier: [18:CustomCustomerTier] (Standard) Order Amount: $[36:109]

Orders over $25,000 typically reserved for VIP, Enterprise, or Government customers. Standard customers may require:

  • Credit verification

  • Deposit or prepayment

  • Manager approval

Verify order is appropriate for standard customer tier."

### Technique 5: Cascading Condition Evaluation

**Multiple rules with increasing specificity**

Rule Set: CASCADING-DISCOUNT-VALIDATION

Rule 1: Universal Discount Limit (Broadest) Priority: 10 Condition: [37:11] is >50 Action: Error - "Discount cannot exceed 50% under any circumstances."

Rule 2: Premium Product Limit (More Specific) Priority: 20 Scenario 1: [27:CustomCategory] is 'Premium' Scenario 2: [37:11] is >20 Action: Error - "Premium products limited to 20% discount."

Rule 3: New Customer Limit (Even More Specific) Priority: 30 Condition: [18:CustomCustomerAge] is <90 AND [27:CustomCategory] is 'Premium' AND [37:11] is >10 Action: Error - "New customers limited to 10% on premium products."

Evaluation:

  • Rule 1 catches extreme discounts (>50%) on anything

  • Rule 2 catches premium product over-discounting (>20%)

  • Rule 3 catches new customer premium over-discounting (>10%)

Priority ensures most specific rule evaluated last and takes precedence.

## Performance Optimization for Multi-Condition Rules

### Strategy 1: Use Scenarios to Pre-Filter

**Poor performance**

Rule Set: COMPLEX-VALIDATION Scenarios: (none)

Rule: Complex Check Condition: Multiple AND operators combining different field checks // All logic in condition, evaluated for EVERY sales line // THIS IS WRONG - should use Scenarios instead

Performance: Evaluates complex condition on every single line insertion

**Better performance**

Rule Set: COMPLEX-VALIDATION Scenarios:

  1. [37:1] is 'Order' // Filter 80% of transactions

  2. [37:15] is >100 // Filter another 15%

  3. [37:11] is >20 // Filter another 4%

Rule: Complex Check Condition: [27:CustomCategory] is 'Premium' AND [18:CustomCustomerTier] is 'VIP' // Only complex checks remain in condition

Performance: Scenarios filter out 99% of transactions before complex evaluation

### Strategy 2: Each Condition is Already Independent

**Understanding**

INDEPENDENT EVALUATION: Condition 1: [18:CustomCountry] is 'US' // Checked independently Condition 2: [37:15] is >1000 // Checked independently
Condition 3: [27:CustomCategory] is 'Premium' // Checked independently

All three are evaluated regardless of order. If Condition 1 TRUE → its actions execute If Condition 2 TRUE → its actions execute If Condition 3 TRUE → its actions execute

No "ordering" needed - they're separate rules.

**Within a single condition formula**

Better (use scenarios for AND logic): Scenario 1: [37:15] is >1000 Scenario 2: [18:CustomCountry] is 'US' // Quantity > 1000 AND Country is US

This uses scenarios for AND logic (both must pass). More efficient and clearer than combining in one condition.

### Strategy 3: Minimize Linked Table Lookups

**Poor**

Linked Tables: Customer (18), Item (27), Salesperson (13), Location (14), Price Group (6)

Scenario 1: [18:2] is <>'' Scenario 2: [27:3] is <>'' Scenario 3: [13:1] is <>'' Scenario 4: [14:1] is <>'' Scenario 5: [6:1] is <>'' // Validates all 5 linked tables exist

**Better**

Linked Tables: Customer (18), Item (27)

Condition: [18:CustomVIPCustomer] is true AND [27:CustomPremium] is true // Only links tables actually needed for this rule

### Strategy 4: Consolidate Related Conditions in Same Rule Set

**Efficient approach**

Rule Set: SALES-ORDER-VALIDATION Scenarios (shared by all conditions):

  1. [36:1] is 'Order'

  2. [36:109] is >0

Condition 1: Credit Limit Check Formula: [18:61] + [36:109] is >[18:59] Action: Error "Credit limit exceeded"

Condition 2: Discount Authorization Formula: [36:176] / [36:109] is >0.15 Action: Error "Discount requires approval"

Condition 3: Payment Terms Validation Formula: [36:64] is <>[18:27] Action: Warning "Payment terms changed"

Benefits:

  • Scenarios evaluated once for all three conditions

  • Linked tables accessed once

  • Easier to maintain related rules together

**vs. Fragmented approach**

Rule Set 1: CREDIT-CHECK (evaluates scenarios, links tables) Rule Set 2: DISCOUNT-CHECK (evaluates scenarios again, links tables again) Rule Set 3: PAYMENT-CHECK (evaluates scenarios again, links tables again)

Inefficient - same work done three times.

Rule: Mega-Validation
Condition: ([A AND B AND C] OR [D AND E]) AND ([F OR G]

Multiple simpler rules:


Testing Multi-Condition Rules

Test Case Matrix Approach

For rule: (A AND B) OR (C AND D)

Test #

A

B

C

D

Expected Result

1

T

T

T

T

PASS (both branches true)

2

T

T

F

F

PASS (first branch true)

3

F

F

T

T

PASS (second branch true)

4

T

F

T

T

PASS (second branch true)

5

T

F

F

F

FAIL (neither branch)

6

F

F

F

F

FAIL (neither branch)

7

F

T

T

F

FAIL (neither branch complete)

Boundary Condition Testing

For numeric ranges:

Rule: Quantity Range Validation
Condition: [37:15]

Edge Case Testing

Null/blank values:

Condition: Email and Phone Required
Scenario 1: [18:102] is <>'<>'  // Email not blank
Scenario 2: [18:103]

Real Data Testing

Use production-like data:

Test with:
- Real customer records (anonymized)
- Typical order patterns
- Edge cases from actual history
- Known problematic scenarios

Example: "Last year we had situation where [describe]

Common Multi-Condition Pitfalls

Pitfall 1: Trying to Use AND/OR Between Conditions

Problem: Expecting conditions to be combined with boolean operators


Solution: Use scenarios for AND logic, or combine criteria in single condition

CORRECT APPROACH (Use Scenarios for AND logic):
Scenario 1: [36:1] is 'Order'
Scenario 2: [36:109]

Pitfall 2: Expecting Conditions to Short-Circuit

Problem: Assuming if Condition 1 triggers error, Condition 2 won't be checked


Solution: This is actually a benefit - users see all problems at once


Pitfall 3: Overcomplicated Single Condition Formula

Problem: Trying to put too much logic in one condition

TOO COMPLEX:
Condition: ([A] is >100 AND [B] is <50 AND ([C] is 'X' OR [C] is 'Y')) OR ([D] is true AND [E]

Solution: Break into multiple independent conditions

BETTER:
Condition 1: [A] is >100 AND [B] is <50 AND [C] in ['X','Y']
  Action: Error "Rule 1 violation"

Condition 2: [D] is true AND [E]

Pitfall 4: Forgetting Null/Blank Handling

Problem:

WRONG (using OR for multiple values):
Condition: [18:102] is 'test@test.com'|'admin@admin.com'

CORRECT (using pipe operator):
Condition: [18:102] is 'test@test.com'|'admin@admin.com'

What if [18:102]

Solution: Explicitly handle null/blank cases

Better:
Condition: [18:102] is '' OR 
            [18:102] is 'test@test.com' OR 
            [18:102]

Conclusion

Multi-condition validation in QUALIA Rule Engine is based on independent condition evaluation, not boolean logic between conditions. This architectural choice makes rules clearer, more maintainable, and ensures users see all validation issues at once.

Key principles:

Independent conditions: Each condition is a separate business rule that's evaluated independently

All conditions checked: No short-circuit evaluation - all conditions are evaluated

Scenarios use AND: Multiple scenarios combined with AND logic for pre-filtering

Actions execute when TRUE: If condition evaluates to TRUE, all linked actions execute

Multiple can trigger: Multiple conditions can trigger on the same transaction

Test systematically: Test each condition independently and in combination

Optimize with scenarios: Use scenarios to filter transactions before complex condition evaluation

Document clearly: Each condition should have clear business rationale and purpose

Multi-condition patterns covered:

  • Multiple independent validations: Separate business rules in same rule set

  • Complex formulas: AND/OR within single condition's filter expression

  • Scenario filtering: AND logic to determine rule set applicability

  • Cross-table validation: Conditions referencing linked table data

  • Conditional actions: Different actions for different conditions

Implementation success factors:

  1. Understand that conditions are independent, not combined with AND/OR

  2. Use scenarios for AND logic (all must pass for conditions to run)

  3. Put AND/OR logic within individual condition formulas when needed

  4. Test each condition separately and verify all can trigger together

  5. Monitor validation logs to see which conditions trigger

  6. Document each condition's business purpose clearly

By understanding QUALIA's independent condition model, you'll build robust validation rules that accurately enforce business policies while providing clear feedback to users about all validation issues they need to address.

Related Reading:

  • Scenarios vs. Conditions: Understanding the Two-Tier Validation Model

  • Performance Tuning Your Business Rules: Optimization Strategies

  • Testing Business Rules: Comprehensive Testing Approaches

  • Writing Effective Error Messages for Complex Validation

  • Understanding Trigger Events: Choosing the Right Execution Point

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How to Link Multiple Tables for Complex Multi-Table Validation

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How to Prevent Infinite Loops in Your Business Rules

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How to Prevent Negative Inventory with Business Rules

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How to Validate Customer Data Before Order Creation

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Implementing Discount Authorization Rules: Control Pricing with Confidence

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Implementing Required Field Validation: Ensuring Data Completeness

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Interactive Confirmation Dialogs in Business Rules

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Manufacturing Industry Solutions

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Non-Profit and Grant Management Solutions

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Performance Optimization for Business Rules

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Pharmaceuticals and Life Sciences Solutions

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Preventing Data Entry Errors: Validation Best Practices

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Professional Services Industry Solutions

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Real Estate and Property Management Solutions

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Retail and Point-of-Sale Industry Solutions

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Rule Groups and User Permissions: Controlling Who Gets Which Rules

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Rule Set Organization and Maintenance

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Rule Versioning and Change Management

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Testing and Debugging QUALIA Business Rules

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Transportation and Logistics Industry Solutions

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Understanding the Rule Execution Pipeline: From Trigger to Action

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Understanding Validation Scenarios and Timing

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Using Old Value Placeholders for Change Detection and Validation

Related Posts

Understanding the Rule Execution Pipeline: From Trigger to Action

QUALIA Rule Engine operates as a sophisticated event-driven system that intercepts data changes in Business Central and evaluates configured business rules in real-time. Understanding the execution pipeline—how a database operation flows through trigger detection, scenario evaluation, condition processing, and action execution—is essential for advanced rule design, performance optimization, and troubleshooting.

Energy and Utilities Industry Solutions

Energy and utilities companies face complex regulatory requirements including FERC compliance, NERC reliability standards, environmental regulations, rate case filings, renewable energy credit tracking, interconnection agreements, demand response programs, and outage management protocols. Asset-intensive operations with critical infrastructure, regulatory cost recovery mechanisms, time-of-use pricing structures, and customer meter-to-cash processes demand automated validation beyond standard ERP capabilities.

Real Estate and Property Management Solutions

Real estate and property management companies require specialized business rules for lease administration, tenant billing, common area maintenance (CAM) reconciliation, security deposit tracking, maintenance workflow management, vacancy management, rent escalation calculations, and portfolio performance analysis. Multi-entity property ownership structures, percentage rent calculations, operating expense recoveries, lease abstraction accuracy, and compliance with lease accounting standards (ASC 842 / IFRS 16) demand automated validation beyond standard ERP capabilities.

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© 2024 Qualia. All rights reserved

© 2024 Qualia. All rights reserved

© 2024 Qualia. All rights reserved

© 2024 Qualia. All rights reserved