I build AI systems that turn messy work into leverage.
I design agents, reusable AI skills, dashboards, and operational workflows that make teams faster, decisions clearer, and execution easier to scale.
The work has receipts.
Sanitized examples of measurable outcomes from programs, automation, and operating systems I have led or built.
Not prompts. Operating systems.
The differentiator is not a clever sentence. It is the architecture around the model: skills, context, routing, controls, outputs, and evaluation.
AI Agents
Specialized operators for meeting follow-through, executive synthesis, project health, onboarding, and process improvement.
Reusable Skills
Modular reasoning and workflow capabilities that can be routed into multiple agents without duplicating logic.
Operational Tools
Dashboards, portals, intake systems, and self-service workflows that make execution visible and repeatable.
Governance & Evals
Human approval, confidence labeling, evidence checks, quality rubrics, and risk-aware operating boundaries.
Built to be clicked.
Interactive demos use sample data to show the UX and operating logic without exposing company information.
PMO Strategic Initiative Tracker
AI-assisted intake, prioritization, risk signals, and executive summaries across a portfolio of strategic initiatives.
Open live demo →AI Activation Roadmap
An interactive operating model for diagnosing functions, sequencing a 90-day roadmap, and measuring AI adoption.
Open live demo →AI-Powered Intake & Triage
A routing and prioritization workflow designed to reduce repetitive manual support work.
Open live demo →Use the systems, not just the inspiration.
The public portfolio shows what the skills do. The implementation logic, reusable files, routing rules, setup guides, and deeper libraries stay in paid products.