With states like California, New York, and Illinois rapidly passing AI regulations, most companies face critical governance gaps:

Regulatory Blind Spots - Unaware that emerging US AI laws require bias testing, impact assessments, and monitoring protocols beyond basic privacy rules

"Set and Forget" Monitoring - No systems to detect AI drift, bias emergence, or accuracy degradation after deployment

Bias and Accuracy Risks - Lack systematic testing processes, creating legal liability and customer relationship damage

Privacy and Data Gaps - Missing AI-specific data lineage tracking and algorithmic transparency requirements

Documentation Deficits - Unprepared for required AI system documentation including training data sources, decision logic, and risk assessments

The result: While you're scrambling to figure out requirements, competitors with proactive AI governance are deploying faster, winning enterprise deals, and accessing markets you can't enter.