Instro AI Solutions has announced the results of its collaborative generative AI trials with AMRC Cymru, demonstrating measurable operational improvements and clear commercial impact for participating UK engineering firms, including cutting response times by more than two thirds.
Over the past year, Instro AI worked with AMRC Cymru, part of the University of Sheffield Advanced Manufacturing Research Centre, to deliver structured proof-of-value trials with engineering companies. Each programme was designed around defined business outcomes, with results reviewed alongside AMRC Cymru to validate performance.
Measured results included Colchester Machine Tool Solutions achieving 67.3% faster technical query response times, reducing average response times from 5.5 minutes to 1.8 minutes. Elsewhere, sliding-head lathe manufacturer Star Micronics recorded 44.6% faster engineering decision-making during technical support tasks, with engineers using the system more than 1200 times to diagnose alarm codes and locate technical information.
Instro AI delivers a sector-customisable generative AI platform designed to transform how knowledge is accessed and applied across organisations by staff, partners and customers. The system automatically ingests complex documentation including manuals, technical documents, training materials, compliance information and customer records, providing instant, accurate and context-aware responses to operational and commercial questions.
A key finding across all trial participants was that the greatest challenge was not the AI technology itself, but fragmented manufacturing data spread across documents, systems and service records.
Pritesh Patel, industrial digitalisation technical lead at AMRC Cymru, says the trials demonstrated that the biggest hurdle for manufacturers is often legacy data rather than AI adoption itself. Phil Sanders (pictured), commercial director at Instro AI Solutions, adds: “These outcomes demonstrate how generative AI is moving beyond experimentation and delivering measurable operational improvements across engineering support, enquiry handling and technical decision making for organisations of all sizes.”
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