Case Study: AI & Automation at Microsoft FastTrack

A detailed look at how I scoped and deployed lightweight AI and automation to solve high-friction challenges, demonstrating measurable ROI without heavy infrastructure investment.

By Joseph Arnold1 min read

I led the design and scoping of lightweight AI features to reduce manual lift, eliminate duplication, and improve UX efficiency across Microsoft FastTrack’s onboarding and feedback systems. I designed these initiatives to accelerate productivity without requiring heavy back-end AI investment.

Executive Summary

I created a flexible, low-code blueprint for advisory automation. By partnering directly with developers and framing ambiguous friction points as user stories with measurable ROI, I enabled non-technical testers to engage with AI models in a structured, safe, and consistent format without manual copy/paste or formatting between tools.

  • Enabled a single-form UX for high-trust document output.
  • Secured engineering commitment by tying pilots to operational efficiency outcomes.
  • Designed for enterprise extensibility with a unified delivery layer and modular prompt adaptation.