PA025
Route simple tasks to lightweight models and reserve sophisticated models for complex cases to sustain volume while controlling compute cost.
CyberTRIZ analysis · Process contradiction PA025 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Higher Automated Task Volume vs. Lower Compute Cost
Business Context. Increasing the volume of tasks handled by AI-enhanced automation improves overall efficiency, but the compute cost of running sophisticated models at high volume can grow faster than the value the automation delivers.
Process TRIZ Resolution. Rather than running the most sophisticated model on every task regardless of complexity, organizations should route simple tasks to lightweight, low-cost models and reserve the most sophisticated models for genuinely complex cases.
Applicable TRIZ Principles
Principle 1 (Segmentation) separates simple tasks from complex ones and routes each to an appropriately sized model.
Principle 3 (Local Quality) matches model sophistication to the actual complexity of each task.
Principle 2 (Taking Out) removes unnecessary model complexity from tasks that do not require it.
Expected Outcome
High processing volume sustained
Lower overall compute cost
Efficient resource allocation
Sustainable automation economics
Decision Indicators
The same sophisticated model processes every task regardless of complexity.
Compute cost has grown faster than the business value automation delivers.
No task-routing logic distinguishes simple cases from complex ones.
Simple tasks incur the same processing cost as complex ones.
Automation economics have deteriorated as volume increased.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.