New York CEO Dan Herbatschek of Ramsey Theory Capital Delivers New Real-Time Governance for Enterprise AI Systems as AI Safety Laws Accelerate

As New York’s RAISE Act and other state-level AI safety laws redefine compliance expectations recently, Ramsey Theory Capital launches enhanced governance solutions that combine AI lifecycle oversight, documentation, and risk analytics to simplify adoption across regulated landscapes.

New York CEO Dan Herbatschek of Ramsey Theory Capital announced expanded AI governance capabilities designed to help enterprises respond to a rapidly evolving wave of U.S. state-level artificial intelligence safety and accountability laws, including New York’s newly enacted Responsible AI Safety and Evaluation (RAISE) Act. New York now aligns with California on Frontier AI Laws with the RAISE Act.

The RAISE Act represents one of the most comprehensive state frameworks to date, requiring organizations developing or deploying advanced AI systems to demonstrate transparency, risk awareness, and accountability throughout the AI lifecycle. With additional states advancing similar legislation, enterprises are now facing a fragmented and fast-moving regulatory environment that demands more than traditional, document-only compliance approaches.

Ramsey Theory Capital’s enhanced governance solutions address this challenge by embedding compliance, risk analytics, and documentation directly into how AI systems are designed, deployed, and operated—enabling organizations to meet new legal obligations without slowing innovation.

“State-level AI regulation is moving faster than most enterprises anticipated, and the compliance burden is no longer theoretical—it’s operational,” said Dan Herbatschek, CEO at Ramsey Theory Capital. “The RAISE Act signals a broader shift toward enforceable AI accountability. Enterprises need governance intelligence that operates in real time, not static reports created after the fact.”

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From Policy to Practice: Operationalizing AI Compliance

Unlike traditional governance models that rely on manual documentation and periodic reviews, Ramsey Theory Capital enables organizations to operationalize AI compliance across the full lifecycle of their AI systems—from development and testing to deployment and ongoing monitoring.

Key capabilities include:

• AI lifecycle visibility across models, data pipelines, and vendors
• Risk classification and analytics aligned to emerging AI safety laws
• Automated documentation to support audits, disclosures, and regulatory inquiries
• Ongoing monitoring for performance drift, misuse, and unintended outcomes

This approach allows enterprises to demonstrate continuous oversight and accountability—a core requirement of laws like the RAISE Act—while maintaining flexibility as regulations evolve.

Built for Regulated, High-Impact Environments

Ramsey Theory Capital’s governance solutions are purpose-built for organizations operating in regulated and high-impact industries such as healthcare, logistics, automotive, and field services, where AI systems increasingly influence safety, access, and critical business decisions.

As AI safety laws continue to emerge at the state level, Ramsey Theory Group positions itself as a strategic partner for enterprises seeking to balance regulatory compliance, innovation velocity, and long-term trust in AI-driven operations.

“The era of ‘build now, govern later’ is over,” added Herbatschek. “Enterprises that succeed with AI in the next decade will be the ones that treat governance as a core operating capability—not a regulatory checkbox.”

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