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Field service AI delivery

AI Solution Delivery Manager

Turning business pain into AI solutions people can use and trust.

I lead global service innovation at Videojet, where I turn technician experience into guidance for difficult repairs and earlier responses to equipment faults.

Professional headshot of Elvis Fu

Professional bio

Audit and finance shaped how I deliver AI.

My career spans audit and finance at PwC and HNA Group, a STEM MBA from Michigan Ross, and AI delivery leadership at Videojet Technologies, a Veralto operating company.

I lead work that captures service expertise, guides difficult diagnoses, and fits new tools into daily work. I am also completing an M.S. in AI & Data Analytics at Indiana Wesleyan University.

  • 12 years: finance → analytics → AI
  • Michigan Ross: STEM MBA
  • Progressed at Videojet: product innovation to strategy and analytics to AI delivery

What I bring to the work

I turn field-service knowledge into guidance engineers can use during difficult repairs, then help teams make it part of daily work.

Translate

Start with the field engineer’s decision, not the model.

Deliver

Turn technician knowledge into guidance that fits the workflow.

Explain

Show business, engineering, legal, and operations what the evidence supports.

Enterprise delivery

AI delivery for field service teams.

I lead global service work with engineering, legal, and operations involved in rollout and adoption.

  • Challenge: complex faults slow field diagnosis
  • Delivery: technician know-how becomes field guidance
  • Target outcome: fewer avoidable visits and more first-visit fixes

Portfolio projects

These individual learning and research projects sit beside my enterprise work and can be opened, tested, and reviewed.

Redacted illustrated Chinese character card for water

Learning project

Chinese Character Pictures & Stories for Kids

An interactive ChatGPT assistant that turns a learner’s story idea into one illustrated Chinese character card.

Explore the project

AI history timeline overview

Research project

AI History Companion

A visual guide to the breakthroughs, setbacks, and conditions that shaped AI.

Open the project

Writing

Three field notes examine how AI varies, where its reasoning breaks, and what teams should test.

Why AI does not repeat itself

February 9, 2026

“Ask AI to summarize the same report twice, and the wording may change.”

Read on LinkedIn

Eight runs, eight different outputs

February 16, 2026

“I ran the exact same prompt eight times. Every output was different.”

Read on LinkedIn

A simple car-wash test AI missed

February 23, 2026

“The model gave a long answer but overlooked that the car itself needed to reach the car wash.”

Read on LinkedIn

Research, editorial work, and recognition.

Explore selected publications, editorial roles, media mentions, professional profiles, and project links.