Service Overview
Automation strategy is the practice of identifying repeatable work and transforming it into reliable, autonomous systems. My approach emphasizes what I describe as personal industrialization: applying industrial-scale thinking to individual or small-team workflows through carefully designed software processes.
Rather than automating tasks in isolation, I analyze entire workflows to determine how automation changes the structure of the work itself. This often involves revising processes, data models, or content structures so that automation becomes a natural extension of the system rather than an afterthought.
Personal Industrialization
Personal industrialization focuses on scaling output without scaling complexity. By designing systems that run autonomously, an individual or small studio can achieve consistency, reliability, and throughput traditionally associated with much larger teams.
Data Transformation and Content Conversion
A significant portion of this work involves data transformation and content conversion. I design systems that reshape, normalize, and repurpose data automatically—supporting publishing pipelines, system integration, and long-lived digital archives.
Autonomous Processes
Automation systems are often designed to run independently, without constant oversight. This includes scheduled processes, event-driven workflows, and tools that maintain or evolve systems over time with minimal manual intervention.
A Systems-Level Approach
Automation strategy is closely tied to systems architecture and software development. By treating automation as a core design concern, rather than a collection of scripts, I ensure that automated processes remain understandable, maintainable, and adaptable as systems grow.
