Knowledge Architecture · AI Fluency · Content Systems
What I do
The work cuts across several disciplines, but it is unified by a single idea: knowledge is infrastructure. When it is built with architecture, governance, and human behavior in mind, it compounds. When it is not, it decays.
Taxonomy design, metadata schema, content models, and governance frameworks for enterprise-scale knowledge systems. The structural layer most organizations skip.
Helping individuals and organizations move from surface-level AI use to genuine operational integration. Crawl, walk, run, fly. No hype. No cargo culting.
Stateless, modular content design for multi-channel delivery. Content that is machine-readable, reusable, and doesn't require a rebuild every two years.
Documentation that works under pressure. Process guides, SOPs, onboarding systems, and operational playbooks written for the people who actually use them.
Translating organizational complexity into usable, governed knowledge. Getting the right information to the right people, in a form they can act on, reliably.
Building AI workflows that keep human judgment where it belongs and remove it where it doesn't need to be. Systems that augment people, not replace them.
Career throughline
Every role I've held has been a version of the same challenge: making complex organizations more coherent, more legible, and more effective through better information systems.
Lead enterprise knowledge communication strategy for Technology and Enterprise Operations across a post-merger environment serving 11,000+ employees. Built AI-assisted content pipelines, structured content systems, and metadata frameworks at organizational scale.
Founded Human Layer Systems to bring practical AI fluency work directly to individuals, small teams, and organizations. Consulting, advisory programs, and the Clarity Sessions monthly service. humanlayersystems.com →
Designed structured onboarding and learning programs for regulated industries, reducing new-hire time-to-competency by 40% and removing knowledge concentration risk from experienced employee departures.
Built editorial operations models, governance frameworks, and multi-channel content systems that scale without proportional increases in oversight overhead. Governance that works because it's designed into the architecture, not bolted on after.
Developed Stateless Knowledge Architecture (SKA), an original 28-section technical framework for designing enterprise knowledge systems as composable, independently governed content fragments. Read the framework →
Featured work
These cases span enterprise financial services, post-merger integration, AI adoption programs, and individual AI fluency work.
Unified two financial services knowledge ecosystems for 11,000+ employees. Built a metadata-driven architecture that resolved conflicting procedures at the source.
AI EnablementRedesigned the content architecture feeding an enterprise AI system. Introduced retrieval-ready formatting and a metadata layer that gave the system context for role, task, and recency.
Learning & DevelopmentReplaced tribal knowledge transfer with a governed onboarding system. Reduced time-to-competency by 40% and made outcomes consistent across teams.
Process & GovernanceDesigned a multi-channel editorial operations model with defined ownership, review workflows, and data-driven engagement tracking that scales without proportional overhead.
Core strengths
I design the structure before anyone writes a word. Solutions that don't outlast the engagement aren't solutions.
I ask why documentation fails, not just what's wrong with this document. The fix at the structural level prevents the next ten problems.
Every engagement should end with the client more capable than when it started, not more dependent. Self-sufficiency is the goal.
Systems that don't account for how people actually behave don't get used. I design for the real user, not the ideal one.
I know where AI actually helps and where it creates noise. I work with both enterprise AI teams and individual practitioners.
I define success criteria before the engagement begins. Every deliverable has an observable completion condition tied to real organizational need.
Where to go next
Executive summary, experience, achievements, and downloadable PDFs.
Clients & CollaboratorsCase studies with context, approach, and measurable outcomes.
Writing ReviewersTechnical writing, process documentation, executive communication, and content architecture.
Serious ReadersHow I think about AI, knowledge, content, and organizational change.
Consulting & AI FluencyConsulting engagements, AI fluency programs, and the Clarity Sessions monthly service.
All InquiriesRole inquiries, speaking requests, and general conversations.