A first-principles synthesis for organizational capability theory, bridging sociotechnical systems, organizational learning, and evidence-based management.
Shorter pieces on capability change, AI value, organizational learning, and the gap between visible activity and durable business capability.
A strategic framework for technical leaders navigating multi-agent software development, verification debt, and AI-assisted delivery.
Why enterprise AI architecture is moving from one massive model for every task toward routed fleets of specialized local and frontier models.
How Value Stream Mapping can identify where AI should improve revenue, customer experience, and business flow instead of chasing disconnected use cases.
A four-part research progression is planned. Final PDFs will be added after the papers are reviewed, rebranded, and ready to publish.
A first-principles synthesis for organizational capability theory, bridging sociotechnical systems, organizational learning, and evidence-based management.
A process-based method for organizational capability absorption, distinguishing process from stock with decay, scarring, and drift corrections.
A multiplicative gating mechanism for capability assimilation: a falsifiable four-element model with domain-specific verification regimes.
From sociotechnical learning to diagnostic practice: a six-layer theory-to-offer IP stack with AI change as the current application.
Practical guides for specific roles, teams, and technical decisions. Each PDF opens in the browser and can also be downloaded.
How organizations absorb new capabilities into everyday work.
A prior and separate publication on generative AI adoption.