PA006
Mandate structured decision-rationale logging for every autonomous agent action to enable compliant human oversight without real-time intervention.
CyberTRIZ analysis · Process contradiction PA006 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Greater Bot Autonomy vs. Stronger Human Oversight
Business Context. Giving automation agents greater autonomy to handle complex, judgment-based tasks increases their value, but reduces the visibility humans have into why a given decision was made.
Process TRIZ Resolution. Rather than choosing between full autonomy and full manual control, organizations should design autonomous agents to log a clear rationale for each decision, enabling after-the-fact human review without requiring real-time intervention.
Applicable TRIZ Principles
Principle 23 (Feedback) captures the agent's decision rationale as structured feedback for human review.
Principle 25 (Self-Service) allows the agent to operate independently while generating its own audit trail.
Principle 24 (Intermediary) uses a review layer that samples autonomous decisions without slowing execution.
Expected Outcome
Preserved autonomy and speed
Meaningful human oversight
Auditable decision trails
Faster detection of agent errors
Decision Indicators
Autonomous agent decisions cannot be explained after the fact.
No sampling process reviews autonomous decisions for quality.
Oversight requires slowing the agent down in real time.
Errors are discovered only through customer complaints.
No rationale is logged alongside automated decisions.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.