I specialize in Disciplined AI Execution: the bridge between raw data diagnostics and autonomous operational systems. I help organizations move past AI hype by engineering high-integrity frameworks that ensure automation is auditable, reversible, and ROI-aligned.

To architect governed AI ecosystems for high-stakes environments where data integrity is the primary constraint and ROI is the mandatory output. To architect governed AI ecosystems for high-stakes environments (regulated industries, Advancement, ITSM) where data integrity is non-negotiable.

I approach every project through a three-stage Sovereignty Model:

• Stage 1 | Workflow Diagnostics: Mapping end-to-end processes and establishing 30-day performance baselines.
• Stage 2 | Controls & Integrity: Designing "Human-in-the-Loop" (HITL) guardrails and automated reconciliation unit tests.
• Stage 3 | Agentic Architecture: Deploying platform-agnostic AI Agents that prioritize "Source-of-Truth" logic over generative hallucinations.

• **Validated architectural patterns using standardized ITSM benchmarks to ensure portability across regulated enterprise environments.
• The Insight: Identified a 45% SLA performance penalty tied to process "Rework."
• The Solution: Engineered a Socratic Diagnostic Agent to triage high-friction tickets.