AI methodology
How the AI works
Our model acts as a first-pass reviewer: systematic, consistent, and never tired. A CPA always has final authority.
Pattern Recognition
Our model is trained on IRS audit selection criteria, published guidance, and historical return data. It recognizes deduction ratios that deviate from industry norms, identifies missing schedules triggered by reported income types, and surfaces positions that require additional documentation.
Anomaly Detection
A statistical baseline for each return type (1040, 1120-S, 1065, 1041) flags line-item values more than 2 standard deviations from the cohort median. Year-over-year swings above 15% on key schedules trigger automatic escalation to CPA review regardless of absolute value.
Continuous Learning
CPA overrides and corrections feed a fine-tuning loop. Every acknowledged override improves the model's understanding of practice-specific norms and jurisdiction-specific treatment. The model never ships a flagged position without human sign-off.