AI Governance
Published writings and frameworks on responsible AI deployment, auditability, model lifecycle oversight, and enterprise risk management.
The Enterprise AI Governance Imperative
A framework for establishing AI governance that balances innovation velocity with auditability, compliance, and enterprise risk. Designed for organizations operating in regulated environments.
COMING SOONModel Lifecycle Oversight in Production
Practical guidance on managing AI models from development through production, including drift detection, performance monitoring, and responsible retirement practices.
COMING SOONGuardrails and Evaluation Design for LLM Systems
Approaches to designing evaluation frameworks and guardrails for large language model deployments, drawing from shadow testing, offline evaluation, and production monitoring patterns.
COMING SOON
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