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AI Training for Manufacturing Companies
Practical AI Training for Manufacturing Teams
Manufacturing environments demand accuracy, process awareness, and clear communication.
DBS AI delivers training that respects shop-floor reality while helping teams use AI as a productivity and knowledge tool.
How AI Training Helps Manufacturing:
– Document SOPs and internal processes
– Summarize reports and production data
– Improve cross-department communication
– Preserve institutional knowledge
Ideal For:- Small to mid-size manufacturers-
Operations managers and leadership teams

Casey Turton
Owner
From the Factory Floor to the Digital Future
For more than 30 years, my work was grounded in the realities of manufacturing — not theory, not buzzwords, and not boardroom abstractions.
Manufacturing teaches you things you don’t learn in marketing textbooks:
– Systems must work every day, not just in presentations
– Delays cost real money, not hypothetical ROI
– Processes either scale or they break
– Technology must support people, not slow them down
That environment shaped how I think — permanently.
Operations First.
Strategy Second.
Tools Last.
My background includes working directly with manufacturing owners and leadership teams, operations workflows, production bottlenecks, ERP systems, and process optimization.
Because of that, I don’t start with tools. I start with how the business actually operates.
Why This Matters for Marketing and AI
Most marketing fails because it’s disconnected from operations. Most AI projects fail because they’re layered on top of broken processes. Manufacturing taught me that technology is only valuable when it supports real workflows.
A Practical Advantage in an AI-Driven World
Today, many consultants can explain what AI can do. Fewer can explain where it actually fits inside a business, what should come before automation, and how to deploy AI without creating chaos. Manufacturing gave me that lens.
The Bottom Line
My work in marketing, consulting, and AI is not a pivot away from manufacturing — it’s a continuation of it.
Different tools. Same discipline. Same focus on systems that actually work.