Enterprise LLM governance
Governance framework for internal AI and LLM systems
Supported the design of a governance approach for enterprise AI tooling,
including model oversight, evaluation design, and operating controls.
Scope: Governance operating model, evaluation dimensions, control points, review process.
Focus: Move from conceptual governance to implementation inside real platform workflows.
Result: Established a practical governance structure for AI deployment, review, and monitoring.
Data and platform governance
Operational control model for governed enterprise data environments
Designed governance patterns tied to data sensitivity, access control,
classification, stewardship, and decision accountability.
Scope: Classification logic, policy design, access control alignment, workflow implementation.
Focus: Improve governance clarity while supporting enterprise scale and operational use.
Result: Strengthened control posture and improved alignment between governance policy and day-to-day execution.
Evaluation systems
AI evaluation model for production decision support
Supported the creation of evaluation dimensions and review logic for AI
systems where accuracy, relevance, clarity, and risk posture mattered.
Scope: Quality dimensions, scoring logic, oversight workflow, human review loop.
Focus: Provide a repeatable and explainable approach to model evaluation.
Result: Improved consistency in assessing system outputs and created a clearer governance review process.
Manufacturing sector
Enterprise AI Governance Framework
Organization: Fortune 100 Manufacturing Firm
Scope:
- Governance operating model
- AI lifecycle oversight
- Evaluation framework design
Outcome: Implemented governance structure for internal AI deployment
and monitoring across enterprise workflows.
Leadership advisory
Governance readiness support for AI adoption
Advised on governance maturity, implementation priorities, and operating
decisions for organizations expanding AI capability.
Scope: Maturity review, roadmap design, governance priorities, operating recommendations.
Focus: Align leadership intent with governance execution.
Result: Delivered clearer sequencing for governance capability development and production readiness.
