Industrial AI at Work
01 The Challenge
A global environmental services company had critical machinery only third-party specialists could diagnose and repair. Every failure meant a service call, a multi-day outage while the machine waited, and costs that ran up to $5M per machine per year. The equipment belonged to the company, but the ability to fix it did not.
02 The Squint Solution
During a scheduled specialist visit, the operations team recorded a video of the complete troubleshooting and repair process. Squint’s Tribal Knowledge Agent turned that recording into a step-by-step procedure, including diagnostic measurements, decision logic, and detailed repair instructions. The procedure guides any on-site technician through diagnosis and repair with Squint’s Assistant providing answers grounded only in the company's approved knowledge.
03 The Results
In the first year, on-site technicians resolved 90% of incidents without a specialist, avoiding an estimated $5M in service costs and turning multi-day outages into same-shift fixes. The company hasn't stopped there. The same platform now runs across its fleet operations, where Squint's Process Improvement Agent has cut inspection backlog by 61%, and the rollout keeps widening across the business.
04 Industrial AI at Work
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