As organizations shift AI from experimental pilot programs into core accounting workflows, they face the challenge of maintaining financial reliability. The framework moves away from attempting to audit the opaque inner workings of AI, instead prioritizing human oversight and outcome-based validation. It outlines four primary control strategies: Human-in-the-Loop intervention, performance testing against known datasets, multi-model validation using challenger systems, and advanced data analytics to detect anomalies.

Andrej Suskavcevic, CEO of FEI, noted that the document provides a starting point for firms to adopt emerging technology while protecting the integrity of their financial statements. The guidance addresses specific technical risks, including algorithmic bias, model drift, and AI hallucinations. By aligning these practices with the existing COSO Internal Control framework, companies can scale their automation efforts while providing the assurance that capital markets require. The document, authored by accounting leaders from Fortune 100 companies, is available through the FEI website for $195.