Kevin Fitzgibbon

I build software, AI, and workflow systems that help industrial teams work more safely, efficiently, and reliably.

Over 11+ years in manufacturing, I have led automation, robotics, capital programs, and digital workflow initiatives for frontline teams. Today, I focus on product work in industrial software, AI, and connected systems, building tools that solve real problems in operating environments.

11+ years in industrial operations
Capital projects, automation, and connected systems
Built AI workflow products for maintenance teams
Focused on safe adoption, reliability, and throughput

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Featured Work

AI workflow product

Wrench Scribe

AI assistant for maintenance teams that turns rough notes and voice input into structured, CMMS-ready work orders.

Makes work order drafting faster and easier for technicians in the field
Improves maintenance data quality and consistency for downstream reliability decisions
Built independently from 0 to 1, then cut response time from 9.0s to 3.1s and cost per request by 70% while maintaining reliable output.

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Wrench Scribe maintenance workflow product visual

Robotics / automation

Multi-Site Robotic Packaging Systems

Rolled out new robotic packaging, palletizing, and depalletizing systems across multiple manufacturing sites to improve reliability, safety, and line performance.

Set the deployment roadmap around reliability-critical functionality first, then chose pilot and follow-on sites based on operational fit and ROI potential
Aligned operators, maintenance, engineering, supply chain, and leadership around phased rollouts that reduced risk
The initial implementation reduced downtime by about 2 hours per day, allowed for new SKU production, and supported a business case with estimated 50% IRR on roughly $2M investment

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Digital workflow systems

Digital Factory Workflow Tools

Digital workflow tools for manufacturing teams that turned plant data into faster, safer, and more reliable operating decisions.

Started from real operator and scheduler workflows, then translated those needs into requirements, pilots, and rollout decisions
Cut changeover time from about 40 minutes to 20 minutes on a pilot line, unlocking roughly 2 to 3 productive hours per day
Used shared bottleneck data to improve throughput decisions, helping drive roughly 20% additional output before long-term capex landed

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