You’ve Built the Machine. Now It Has to Pay for Itself.
OEMs and Tier 1 manufacturers have done the hard part. Sensors on the floor. Data pipelines running. Cloud infrastructure humming. Analytics dashboards that track more than anyone can act on.
But something isn’t adding up.
Cloud costs keep climbing, and the bill is increasingly hard to justify. Multiple analytics initiatives are competing for the same limited budget and engineering cycles. Pilots that showed real promise in the lab are stalled somewhere between proof-of-concept and production. Teams are asking the question that no one wants to say out loud: Are we actually getting a return on any of this?
The research says they’re not alone. Average monthly AI and cloud infrastructure spend jumped 36% in a single year, yet only 51% of organizations can accurately track AI ROI even as 91% believe they can. The gap between what organizations think their data investments are delivering and what they can actually measure is where millions disappear.
This isn’t a technology problem. The technology works. It’s an optimization and prioritization problem. Too many workloads, too little governance, and too many competing roadmaps pulling in different directions with no clear owner for the outcome.
TM Floyd works with advanced manufacturers to cut through that complexity. We help organizations rationalize their analytics investments, consolidate the cloud spend that isn’t delivering, and build a clear path from pilot to production for the initiatives that actually move the needle—by helping leadership see what’s working, stop what isn’t, and focus the organization’s finite resources where the return is real.
With nearly 50 years of technology consulting and deep roots in manufacturing and industrial operations across South Carolina and beyond, we speak the language of your floor and your boardroom.
If your Industry 4.0 investment isn’t performing the way it should, let’s find out why and fix it.
