Definition

What is Exception Handling in RPA?

Exception Handling in RPA is the systematic approach to detecting, managing, and responding to errors, unexpected situations, and deviations from the normal process flow during bot execution. Proper exception handling ensures automation resilience, maintains data integrity, and enables graceful recovery from failures.

Types of Exceptions in RPA

Exceptions in RPA typically fall into two categories:

Example Use Case

An invoice processing bot encounters a PDF that's corrupted (system exception). The exception handler logs the error, takes a screenshot, moves the transaction to a human review queue, sends an alert to the operations team, and continues processing the remaining invoices - instead of crashing and stopping all work.

Exception Handling Strategies

Common Strategies

  • Retry Logic - Automatically retry failed actions with delays
  • Try-Catch Blocks - Contain errors and execute recovery code
  • Human Handoff - Route exceptions to human workers for resolution
  • Queue-Based Processing - Move failed items to exception queues
  • Graceful Termination - Clean up and exit safely when recovery fails
  • Alerting - Notify operations team of critical failures

Best Practices for Exception Handling

Exception Handling Architecture

A robust exception handling framework includes:

  1. Global Handler: Catches any unhandled exception at the process level
  2. Activity-Level Handlers: Specific handling for individual actions
  3. Exception Classification: Categorizing exceptions by type and severity
  4. Recovery Procedures: Defined steps to recover from each exception type
  5. Monitoring Integration: Feeding exception data to monitoring systems
BOTFORCE Discovery

Build Resilient Automations

Use BOTFORCE Discovery to assess process complexity and exception rates before automation. Understand which processes are suitable for automation and plan for exception handling requirements.

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