Results From the Frontlines
The Challenge
Like most industrial operations, a global energy company trained new techs on complex work the way it had been done for decades, with an expert standing behind a junior technician until he was ready. On one complex assembly, that meant two hours of shadowing per run and weeks to independent work. The model worked, but it didn’t scale. Every hour cost the expert's output as well as the trainee's, and expert hours were the scarcest resource in the plant.
The Squint Solution
The team captured the complete assembly in a series of videos and Squint’s Tribal Knowledge Agent turned it into visual work instructions technicians could follow at the bench. With the procedure in hand, any tech can reference the exact steps he needs to perform, all at his own pace, without borrowing hours of an expert's day.
The Results
After five independent runs, technicians worked the assembly without support, and expert involvement dropped 76% per assembly. Those hours went back into production instead of shadowing. And the economics aren't specific to this assembly. Every complex procedure trained by shadowing pays the same two-person tax, and capturing the expert's method once removes it, procedure by procedure.
Industrial AI at Work
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