A digital platform for CR-WK, offering expert consulting in strategy, digital experiences, workflow optimization, and practical AI implementation. Designed for clarity and confidence in complex digital challenges.
Enterprise Intelligence Architect, systems designer, and author — working at the intersection of organizational intelligence, AI systems architecture, and formation-phase institutional design.
Founded CR-WK in 2010. Fifteen years building the intelligence layer that makes complex systems coherent, capable, and self-improving — inside enterprises, startups, and civic organizations.
Creator of the Systems of Formation framework — a nine-principle methodology for understanding why systems produce the outcomes they do, and how to change those outcomes by changing the conditions that generate them.
Manuscript: Systems of Formation: Designing the Conditions of Human and Institutional Flourishing — with Chelsea Green Publishing.
CR-WK is the umbrella over a connected venture stack: Regen Technologies, Sowly, Prosperity as a Baseline, The Open Record, and the Enterprise Intelligence Platform.
Designing the intelligence coordination layer that makes AI actually work inside your organization — not just locally within individual tools. Agentic workflow architecture, institutional knowledge infrastructure, and the integration layer that makes the stack coherent.
Deep immersion into your organization's complete intelligence environment. Diagnosis of the whole system — not a department, not a process. A roadmap and artifact set that makes the redesigned system operational, with implementation support through execution.
For founders and civic organizations at the beginning of something. Building the constitutional design, the survival floor, and the conditions that make the venture viable before optimization begins. CR-WK engagements at this stage are often structured on deferred equity models.
CR-WK embeds in the organization. We consume institutional knowledge — documents, workflows, history, informal understanding — and build a complete picture of the intelligence environment before diagnosis begins. Nothing is prescribed before we understand what is actually there.
The Systems of Formation framework is applied to the whole system. Not a department. Not a process. The full formation logic — across all nine principles — is mapped to the organization's actual conditions. The diagnosis produces a clear account of why the system produces the outcomes it does.
A roadmap and artifact set are produced and made operational. CR-WK stays through execution. This is not a handoff engagement. The measure of success is a system that is capable of sustained, intelligent, self-improving action.
A nine-principle methodology for understanding why systems produce the outcomes they do, and how to change those outcomes by changing the conditions that generate them.
Manuscript: Systems of Formation: Designing the Conditions of Human and Institutional Flourishing — with Chelsea Green Publishing. Preview: https://systemsofformation.com
The engagement began as a content architecture project. It became something else. Over five years embedded inside a Fortune 500 marketing and development organization, the work expanded from system design to full institutional intelligence architecture — consuming, cataloging, and externalizing five years of institutional knowledge into 123 AI-ready artifacts in an agnostic repository.
The development lifecycle template built during this engagement is now used as the standard across every engineering department in the organization.
Current phase: leading the transformation of marketing and development lifecycles into agentic services — at the frontier of the organization's current technical capabilities in headless content management and AI-assisted workflow design.
Liza Savage-Katz came in with a vision and a pattern that was quietly working against it. The formation phase identified the survival floor — the minimum monthly revenue required for the venture to operate from stability rather than scarcity — and redesigned the structural conditions around it. Not mindset work. Condition change.
The engagement is structured on a deferred equity model — CR-WK's stake grows as the venture grows. A live demonstration of the Sowly principle: participation in the system leads to ownership of the system.
Most civic information systems make data available without making it legible. The Open Record is a live public platform that ingests Vermont legislative data via LegiScan API, runs each policy through a structured multi-dimensional evaluation framework, and surfaces scored, evidence-linked analysis for public consumption — permanently, immutably, and without editorial bias.
This is the Systems of Formation framework applied to civic intelligence. Principle VIII — Visibility Enables Stewardship — in production.
Vermont pilot: 5,853 policies ingested. Three published scored timelines. 200+ organic visitors before any promotion. New Hampshire expansion in planning.
Most enterprise AI deployments introduce intelligence system by system. The result is a new layer of fragmentation: intelligent tools that still do not work together. The Enterprise Intelligence Platform is the architecture that makes the stack coherent.
Four layers: institutional knowledge base, domain intelligence agents, coordination layer, human interface and governance. Four principles: human oversight as permanent, context before capability, intelligence through coordination, governance embedded not bolted on.
The HP engagement is the EIP at enterprise scale, deployed and proven. The Personal Executive OS is the EIP at human scale — proof of concept before enterprise deployment.
Active civic engagement applying the CR-WK formation methodology to local organizational design. Formation phase. Constitutional design in development. Pathway architecture for multiple engagement types being established. Proving the methodology works across civic, founder, and enterprise contexts with equal coherence.
A complete architectural framework for enterprise AI deployment. Covers agent design principles, institutional knowledge layer construction, intelligence coordination architecture, human interface and governance models, and organizational maturity models for intelligence capability development.
A nine-principle methodology for understanding and redesigning the conditions that generate organizational outcomes. The theoretical foundation for all CR-WK practice.