PD012
Connect process models to live system event data via process mining to sustain precision automatically without costly manual update cycles.
CyberTRIZ analysis · Process contradiction PD012 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Greater Model Precision vs. Faster Model Updates
Business Context. Highly precise process models describing exact timing, system fields, and decision rules become quickly outdated as underlying systems change, forcing a trade-off between precision and currency.
Process TRIZ Resolution. Rather than manually maintaining precise static models, organizations should connect models to live system data through process mining, so precision is refreshed automatically rather than through manual rework.
Applicable TRIZ Principles
Principle 25 (Self-Service) lets the model refresh itself automatically from system event logs.
Principle 23 (Feedback) feeds live operational data back into the model continuously.
Principle 15 (Dynamics) treats the model as continuously updated rather than a fixed, versioned artifact.
Expected Outcome
Precision maintained automatically
Faster refresh cycles
Lower manual maintenance cost
Higher trust in the model
Decision Indicators
Models are updated only once a year despite frequent process changes.
Precision degrades noticeably between update cycles.
Manual model updates fall behind actual system changes.
Analysts distrust the currency of existing models.
Process mining data contradicts the documented model.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.