Original research at the intersection of AI governance, aviation safety analytics, and data-driven decision-making for regulated industries.
How AI decision systems can be structured to maintain human oversight in safety-critical aviation environments. This paper examines the architecture of AI Safety Operating Layers (ASOL), human-AI handoff protocols, decision transparency frameworks, and compliance automation — with practical frameworks for operators and regulators navigating FAA and ICAO requirements.
All research is written by a practitioner with real domain expertise — not a theorist. FAA Commercial Helicopter Pilot + MBA in BI + 15 years technical experience.
Architectural frameworks for deploying AI in safety-critical aviation while maintaining human oversight, decision transparency, and regulatory compliance.
Structured approaches to deploying AI in healthcare, fintech, insurance, and aviation while maintaining auditability, compliance, and explainability.
A practical framework for small and mid-size businesses to assess their current analytics capability, identify gaps, and build a phased roadmap toward data-driven operations.
Applying FAA/NTSB incident data to identify leading indicators of helicopter safety incidents — with a focus on operator type, phase of flight, and contributing factors.
Examining how humans and AI systems can share decision-making authority in time-critical, high-consequence operational contexts — with case studies from aviation and healthcare.
Why law offices, dental practices, and CPA firms underutilize business intelligence — and practical, low-cost paths to closing the gap with tools like Power BI.
The research is informed by real operational experience — not academic theory alone.
Real aviation operations experience informing every aviation safety research topic.
Advanced degree in Business Intelligence concentration.
15+ years hands-on technical experience across BI, data engineering, and AI systems.
HAI · 2014 recognition for excellence in aviation safety.
The first white paper on AI Safety Operating Layers in Commercial Aviation is expected in 2026. Leave your contact and we'll reach out when it's published.
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