PA020
Automate diagnostic capture at the moment of bot failure so recovery is immediate and evidence for mandatory incident root-cause review is preserved.
CyberTRIZ analysis · Process contradiction PA020 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Faster Bot Recovery from Failure vs. Better Root-Cause Analysis
Business Context. When a bot fails in production, restarting it quickly minimizes business disruption, but rushing to restart without investigating the failure can allow the same root cause to trigger repeated failures.
Process TRIZ Resolution. Rather than choosing between immediate restart and full investigation, organizations should capture diagnostic data automatically at the moment of failure before restarting, allowing recovery to proceed quickly while preserving the evidence needed for root-cause analysis afterward.
Applicable TRIZ Principles
Principle 10 (Prior Action) captures diagnostic data automatically before the bot is restarted.
Principle 1 (Segmentation) separates immediate recovery from the deeper investigation that follows.
Principle 23 (Feedback) feeds captured failure data into a structured root-cause review process.
Expected Outcome
Fast recovery
Confirmed root cause
Reduced repeat failures
Preserved diagnostic evidence
Decision Indicators
The same bot failure recurs repeatedly without resolution.
Diagnostic data is lost once a bot is restarted.
Recovery is prioritized so consistently that investigation never happens.
No structured process exists for reviewing bot failures.
Root-cause analysis is skipped when the bot appears to recover on its own.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.