Automation Philosophy

My approach to technology and automation is pragmatic, foundational, and human-centric. I prioritize fixing underlying processes before implementing technology, and I emphasize simplicity, ownership, and reliability over chasing flashy trends.

The core tenets of my philosophy

  1. Process first, technology second

    Technology is a tool to support a well-defined process, not a starting point. A key principle: AI doesn't fix broken processes. It just automates chaos faster. The focus is on right-sized solutions built on a solid foundation.

  2. Demystification and accessibility

    Automation should be approachable for everyone, starting from the basics and backed by practical advice. The path in is incremental: begin by mapping repetitive, low-judgment tasks with simple tools like forms and flowcharts.

  3. Pragmatism and cost-consciousness

    A Simplify First approach: simple rules and deterministic code often provide better value and reliability than expensive or complex AI. The biggest wins usually come from the "boring" administrative bottlenecks.

  4. Addressing root causes

    Rather than using AI to manage symptoms like email overload, this approach targets the source, using tools like intake forms and structured systems to prevent problems from occurring in the first place.

  5. Client control and ownership

    Solutions are typically built directly in a client's Office 365 environment, so clients retain complete control over their data and own the solution outright with a one-time payment, avoiding ongoing vendor lock-in.

In short, I view automation not as a quick technological fix, but as a practical journey of building better, simpler, and more reliable systems that empower people to focus on high-value, strategic work.


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