by BROCK MOIR

Equipment is more advanced, customer expectations are rising, and competition for technicians continues to intensify. Service departments are expected to deliver higher output with the same or fewer people, making profitability increasingly dependent on service performance, not just sales.

Forward-thinking dealers are turning to AI to protect margin, speed up repairs, and help their teams operate at their highest level.

Turning Work Orders Into Actionable Knowledge

Dealerships hold years of valuable knowledge in old work orders and service notes, but much of it has been difficult to access when technicians need it most. AI changes this by making service data searchable in seconds.

AgWorld Equipment, an AGCO dealer in Saskatchewan, found that its biggest productivity barrier wasn’ t people or parts. It was information scattered across multiple systems. Service Manager Richard Olson described the challenge clearly:“ I spend 2-3 hours daily just looking up information, and that can jump to 5 or 6 hours during the busy seasons. Vi saves us money by improving our efficiency and allowing us to focus on serving our customers.”

By consolidating documents and knowledge in one searchable platform, AgWorld reduced lookup time and redirected hours back into billable work, giving technicians the right knowledge at the moment of repair.

Better Customer Service Starts with Better Information

Young’ s Equipment, the largest CASE IH farm equipment dealer network in Saskatchewan, found that service performance

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improved when technicians and managers could quickly reference proven repair paths, past work orders, and reliable diagnostic insights. With the right information available in seconds, teams communicated more clearly, made better decisions, and delivered a stronger customer experience at every visit.

Corporate Service Manager Joel Rasmussen summarizes the impact:“ We’ ve provided new managers and technicians with the information customers expect, enabling them to deliver service with confidence and consistency— an invaluable advantage in today’ s hiring environment.”

For Young’ s Equipment, accurate knowledge is a commitment to delivering transparent, reliable and professional service to every customer.

Dealerships hold years of valuable knowledge in old work orders and service notes, but much of it has been difficult to access when technicians need it most. AI changes this by making service data searchable in seconds.

A More Scalable Approach to Training and Onboarding

Dealerships have relied on shadow-based learning for decades, but it slows productivity and pulls senior technicians away from billable work. AI changes the cost structure of onboarding by giving new technicians immediate access to accumulated expertise.

Torgerson’ s Equipment, a 19-location CNH dealer group in Montana and Wyoming, saw this firsthand. New technicians learned quickly, but only when senior techs spent hours each week fielding questions. The bottleneck was not expertise, but how that expertise was transferred. AI enabled knowledge transfer on day one. Junior techs leaned less on veterans, while senior technicians gained hours back each week to focus on complex work. CEO Brion Torgerson described the effect as“ manufacturing time” because hours previously absorbed internally could now be billed.

Protecting Margins Through More Reliable Estimates

Mazergroup, an 18-location New Holland dealership group, discovered that AI didn’ t just improve diagnostics. It reshaped estimating. Teams struggled to quote labor and parts accurately because information lived in separate systems.

AI compared current repairs against thousands of past work orders, including labor times, parts usage, and outcomes. With clearer historical patterns, Mazergroup reduced variance, strengthened customer trust, and stabilized margins.

CFO Wally Butler explains:“ It’ s a revolutionary tool for our operations. It provides quick access to insights from thousands of past work orders, enabling us to quote more accurately, resolve issues faster, positively impact technician efficiency and capabilities, and enhance the service experience for our customers.”

BROCK MOIR is Chief Product Officer at T1 Technology, leading the development of Vi by visorPRO, the AI-powered knowledge assistant built for heavy equipment dealerships. With an MSc focused on particle physics at the CERN Large Hadron Collider and experience implementing AI for Fortune 500 companies, Brock combines deep technical expertise with practical insights to help dealerships turn technician knowledge into an actionable business advantage.

BROCK MOIR, Chief Product Officer, T1 Technology, leading the development of Vi by visorPRO ®.