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Understanding Exception-Based vs. Transaction-Based Automation 

  • Writer: Tayana Solutions
    Tayana Solutions
  • 1 day ago
  • 4 min read

The Automation Confusion 

Most ERP automation discussions focus on transaction processing - purchase orders generating automatically, invoices posting to the GL, inventory reservations triggering on sales orders. These automations work well and deliver clear value. 

 

Exception automation operates differently. Exceptions do not follow predictable paths. Each requires individual attention, but the decision logic follows patterns. Understanding this difference prevents misapplication of automation approaches. 

 

 

Transaction-Based Automation Defined 

Transaction automation executes predefined sequences when specific triggers occur, processing standard business transactions without human intervention. 

 

How It Works: 

  • Trigger occurs (sales order entered, invoice received, inventory adjustment) 

  • System applies predefined rules (tax calculation, GL posting, inventory reservation) 

  • Transaction completes automatically 

  • Exception handling only when transaction fails validation 

 

Success Criteria: 95-100% of transactions process automatically. Exceptions are rare failures, not routine occurrences. 

 

ERP Examples: 

  • Sales order triggers credit check, tax calculation, inventory reservation, shipment creation 

  • Purchase receipt triggers inventory update, GL posting, cost allocation 

  • Invoice approval triggers payment queue, GL posting, vendor account update 

 

 

Exception-Based Automation Defined 

Exception automation handles situations that did not process through standard transaction flows, applying defined decision rules to coordinate resolution or escalation. 

 

How It Works: 

  • Exception identified (invoice does not match PO, payment overdue, inventory short) 

  • System applies decision rules (prioritization, assignment, escalation criteria) 

  • Coordination initiated (communication with customers, vendors, internal teams) 

  • Outcome documented (resolution, escalation, next action) 

 

Success Criteria: 60-80% of exceptions handled successfully through systematic coordination. 20-40% require human judgment for complex situations. 

 

ERP Examples: 

  • Overdue invoice triggers collection workflow: prioritize, contact customer, document commitment, escalate disputes 

  • Vendor invoice variance triggers resolution workflow: identify discrepancy, request documentation, coordinate approval or rejection 

  • Back order triggers communication workflow: notify customer, coordinate with supplier, update status, escalate special requests 

 

 

The Critical Differences 

Predictability 

Transactions: Follow identical paths each time. Sales order processes the same way for every customer, every product, every time. 

Exceptions: Each situation has unique context. Customer A pays 30 days late due to cash flow. Customer B disputes invoice accuracy. Customer C ignores repeated contact attempts. 

 

Volume Patterns 

Transactions: High volume, consistent flow. Processing 100-1000+ daily. 

Exceptions: Lower volume, irregular patterns. Handling 20-100 monthly in specific process. 

 

Decision Complexity 

Transactions: Binary pass/fail validation. Credit approved or not. Inventory available or not. 

Exceptions: Multi-factor judgment. Prioritization considers amount, days overdue, payment history, relationship status, dispute flags. 

 

Coordination Required 

Transactions: System-to-system. No external communication needed for standard processing. 

Exceptions: Multi-party coordination. Communication with customers, vendors, internal teams. 

 

Success Definition 

Transactions: Complete processing. Transaction posted, updated, closed. 

Exceptions: Resolution or escalation. Exception resolved through coordination, or escalated to appropriate person for judgment. 

 

 

Why Exception Automation Failed Previously 

Earlier automation attempts treated exceptions like transactions. This approach failed because: 

Rigid Workflows: Exception automation used rigid workflow tools designed for transaction processing. When situation did not match predefined path, automation broke. 

 

No Decision Logic: Systems could route exceptions to people but could not apply decision criteria about priority, urgency, or action needed. 

 

No Communication Capability: Systems could create tasks but could not coordinate with external parties. Human intervention required for every customer or vendor interaction. 

 

Poor Documentation: Systems tracked status but not context. Why invoice is overdue, what customer said, what action makes sense next. 

 

AI agents differ by handling decision-making, communication coordination, and contextual documentation - capabilities that rigid workflow automation lacks. 

 

 

When Transaction Automation Is Appropriate 

Use transaction automation when: 

  • Process follows identical steps each time 

  • Validation rules are binary and complete 

  • Volume justifies automation effort 

  • Failures are rare exceptions 

 

Do not use AI agents for transaction automation. Standard ERP workflow and integration tools handle transactions better. AI agents add unnecessary complexity. 

 

 

When Exception Automation Is Appropriate 

Use exception automation (AI agents) when: 

  • Process handles exceptions to standard transaction flow 

  • Decision rules can be articulated clearly 

  • Multi-party coordination is required 

  • Systematic documentation improves outcomes 

  • Volume justifies implementation effort (20-30+ monthly) 

Do not use transaction automation for exceptions. Rigid workflows cannot handle variation and judgment required. 

 

 

The Practical Test 

Ask: Does this process follow the same path every time? 

Yes → Transaction automation (standard ERP workflow) 

No, but decision patterns exist → Exception automation (AI agents) 

No, and every situation is completely unique → Manual handling remains appropriate 

 

 

Combined Approach Example 

Many operational processes combine both types: 

AR Collections: 

Transaction Automation: Automatic invoice generation, payment application, statement generation, dunning letter creation 

Exception Automation: Collection calls for overdue accounts, payment commitment follow-up, dispute coordination 

Manual Handling: Complex negotiations, relationship-critical accounts, legal escalations 

Each automation type handles its appropriate role. Transaction automation processes standard workflow. Exception automation coordinates non-standard situations. Manual handling addresses complex judgment situations. 

 

 

About the Author 

This content is published by ERP AI Agent, a consulting practice specializing in AI agents for mid-market ERP exception processes. 

 

 

Published: January 2025 Last Updated: January 2025 Reading Time: 6 minutes 

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