Thought Leadership

Perspectives on governed AI adoption.

Selected writing and posts on AI governance architecture, control design, and responsible implementation.

Regulated RAG Architecture

A practical perspective on structuring retrieval-augmented AI systems with controls suitable for regulated domains.

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Operational AI Governance

Implementation notes on aligning AI delivery with compliance expectations and enterprise risk disciplines.

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Responsible AI in Practice

Reflections on balancing innovation speed with accountability, transparency, and durable governance controls.

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Selected Project

Regulated RAG Architecture

A reference implementation pattern for retrieval-augmented generation in regulated environments, emphasizing data controls, role-aware access, and governance-aware architecture decisions.

  • Architecture patterns for secure AI knowledge workflows
  • Control-oriented design for trusted retrieval and output handling
  • Applicable to compliance-sensitive business domains
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Current Emphasis

AI Decision Accountability

Embedding governance controls directly into system architecture and engineering workflows.

Regulated AI Platforms

Designing extensible patterns that support both innovation and ongoing compliance obligations.