CCR023
Design exception channels with authorization and monitoring, then use recurrence data to refine automated control rules continuously.
CyberTRIZ analysis · Audit contradiction CCR023 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Control Automation vs Exception Handling
Business ContextAutomated controls improve speed and consistency for standard transactions. Unusual but legitimate conditions may fall outside programmed rules, causing valid transactions to be rejected or requiring inefficient manual workarounds.
Audit TRIZ ResolutionAutomate standard control pathways while designing explicit exception channels with authorization, documentation, monitoring, and feedback. Recurrent legitimate exceptions should inform future rule refinement rather than remain permanent manual workarounds.
Applicable TRIZ Principles
Principle 15 – Dynamics allows control behavior to change under defined exceptional conditions.
Principle 23 – Feedback uses recurring exceptions to improve automated rules.
Principle 1 – Segmentation separates normal automated processing from controlled exception handling.
Expected Outcome
Greater automation
Faster legitimate exception handling
Reduced uncontrolled workarounds
Continuous control improvement
Decision Indicators
Users bypass automated controls to process legitimate exceptions.
Manual overrides are common but rarely analyzed.
Similar exceptions recur without changes to control logic.
Automated rules generate significant operational delays.
Flexibility requires disabling automation entirely.