Strategic AI governance frameworks that enable innovation while ensuring compliance. Purpose-built for financial services and regulated industries.
Comprehensive frameworks that address the root causes of AI project failures
Evaluate your organization's data governance maturity, identify gaps, and create a prioritized roadmap for AI-ready infrastructure.
Custom AI governance frameworks aligned with regulatory requirements including SOX, GDPR, CCPA, and industry-specific mandates.
Embed AI risk management into existing enterprise risk frameworks with clear accountability and audit trails.
Establish data quality standards and lineage tracking essential for trustworthy AI outputs and regulatory compliance.
Implement model validation, monitoring, and lifecycle management processes that satisfy regulatory scrutiny.
Board-level AI strategy development that balances innovation ambitions with fiduciary responsibilities.
Choose the approach that fits your organization's needs and timeline
AI Readiness Scorecard + Implementation Guide
Virtual workshop with expert guidance
On-site strategic partnership
KAiM Systems brings Fortune 500 governance expertise to mid-market companies navigating AI adoption. Our approach fixes the root causes of AI project failures—poor data governance and knowledge architecture—rather than just the symptoms.
Founded by Robert Sellers, we combine deep regulatory experience from the Federal Reserve, Wells Fargo, Deloitte, and PwC with hands-on implementation expertise from PG&E's Infrastructure Asset Management program.
Schedule a complimentary 30-minute consultation to discuss your AI governance challenges and explore how we can help.
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