Case study

Applied AI and Human Systems Pathway

A future-facing case study direction built on workflow automation, KPI design, and human-in-the-loop operating systems.

Overview

This pathway page is intentionally future-facing, but still credible. It positions George as someone who can help organizations apply AI in ways that respect process, measurement, governance, and adoption realities.

What makes this believable

Existing experience in reporting and workflow modernization
KPI and governance thinking that supports intelligent systems
Human-in-the-loop coordination experience in real operating contexts

Why this case matters

It gives the site a strong forward-looking story without pretending George’s current edge is “full-time AI engineer.” The emphasis stays on usable systems, not hype.

Role

Workflow design, enablement strategy, and human-centered automation

Problem

Many teams approach AI as a tooling exercise instead of an adoption, governance, and decision-system challenge, which leads to weak implementation and weak trust.

Outcome

Creates a credible bridge from George's existing modernization work into AI-enabled systems that real teams can adopt and trust.

AI usage

AI acts as leverage for adoption, summarization, automation, and decision support without pretending the work is pure model engineering.

Tools

Evidence

Supported by resume evidence in workflow automation, governance, and human-in-the-loop operating work

Grounded in modernization, reporting, and KPI experience rather than speculative AI claims

Ready to absorb future tools, automations, and public build examples