More Audits vs Limited Resources
Use AI-driven risk scoring to concentrate limited audit capacity on highest-yield cases rather than expanding audit volume indiscriminately.
CyberTRIZ analysis · Taxation contradiction GR002 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Governments seek to expand audit programs to detect underreported taxes and improve compliance. However, audit departments often face budget constraints, limited staffing, and growing taxpayer populations that prevent comprehensive examination of every return.
Taxation TRIZ Resolution
Revenue authorities should prioritize audits through risk analytics, artificial intelligence, and predictive models that identify the taxpayers most likely to present material compliance risks. Resources should focus on high-impact examinations rather than increasing audit volumes indiscriminately.
Applicable TRIZ Principles
Principle 1 – Segmentation: Classifies taxpayers according to audit risk instead of applying identical treatment to all.
Principle 25 – Self-Service: Uses automated risk analysis to reduce manual audit selection.
Principle 23 – Feedback: Continuously improves audit models using previous examination results.
Expected Outcome
Better audit effectiveness
Higher revenue recovery
Improved resource utilization
Faster case selection
Greater compliance
Decision Indicators
Early indicators that this contradiction is limiting revenue administration include:
Audit backlogs continue increasing.
High-risk taxpayers remain unidentified.
Audit productivity declines.
Staffing shortages delay examinations.
Recovery rates remain low.
Monitoring these indicators helps authorities maximize audit effectiveness despite limited resources.