Knowledge Architecture · Systems Thinking · AI Readiness
In practice
What it looks like in practice
At Capital One, I designed and executed the enterprise Microsoft Copilot rollout for 8,568 employees in the Business Technology organization. Eighty percent of them were still actively using it six months later.
That number exists because the knowledge architecture was right before the adoption program launched, not because the tool was good. I built the workflow readiness assessment, the use case prioritization framework, the governance model, the Champions network, the AI literacy curriculum, the adoption scorecards, and the measurement infrastructure that captured the retention data. All of it, end to end, as an individual contributor.
This is what knowledge infrastructure looks like when it works.
Original Methodology
Stateless Content Architecture (SCA)
A proprietary modular information design methodology for structuring organizational knowledge as typed, role-addressable fragments that can be delivered to any audience (operations, development, executive, or AI retrieval system) without duplication or rebuilding.
SCA predates and directly enables the knowledge structures enterprise AI requires to function. Most RAG systems underperform not because of the model, but because the knowledge layer feeding them was never architected for machine retrieval. SCA is the architectural solution to that problem.
Original framework developed 2016 to present. Copyright and patent in progress.
The throughline
The thirty-year thread
Every role I've held has been a version of the same problem: making complex organizations more coherent, more legible, and more effective through better information systems. The scale changes: from a 13-person startup with no documentation to an 11,000-person post-merger enterprise. The domains change: life insurance, SaaS, IoT, financial services, AI consulting. The underlying work is always the same: enter the knowledge vacuum, learn the domain, identify what information exists and what's missing, build the architecture that fills the gaps, translate across audiences simultaneously, and leave behind something that works without me.
The Foundations onboarding program I designed in 2015 still runs at Transamerica in both divisions as of 2026. The knowledge repository I built the same year still functions as their operational baseline. The Copilot program I ran in 2023 still produces measurable retention data. I don't leave outputs. I leave systems.
Where to go next
Three paths.
Experience
The thirty-year story, major achievements, downloadable resume.
View Experience → Clients & CollaboratorsThe Work
Case studies with full context, approach, and measurable outcomes.
See the Work → Serious ReadersThinking
Original frameworks, philosophies, and the intellectual foundation behind the work.
Read the Thinking →