As a licensed CPA, I provide AI-enabled analytical execution support to audit and accounting firms with explicit respect for professional standards, inspection expectations, and ethical responsibility. This work is intentionally limited to execution, data preparation, modeling, and explainable analytical outputs, while all professional judgment, conclusions, and accountability remain entirely with firm leadership.

Client demand for full-population analysis, pattern and anomaly identification, and more advanced analytics has increased as data maturity has grown. Building durable, inspection-ready capability internally takes time, and some firms therefore use narrow, temporary execution support under firm governance to respond responsibly while internal capability develops.

The AI patterns used in this support, particularly prediction and pattern/anomaly detection, are mature and production-ready. Their operational readiness has been demonstrated through real financial implementations such as Dynamic Liquidity Intelligence (DLI). In audit and accounting contexts, these same techniques are applied more conservatively: to surface information for professional review, not to automate judgment or draw conclusions.