Early, Owner-Led AI Adoption: How a Manufacturing Business Prepared for AI Implementation the Right Way
Aliasgar Shakeer
Owner, Acron Polymer Products
Owner, Acron Polymer Products
Acron Polymer Products operates in a manufacturing-led environment where efficiency, process reliability, and operational discipline directly affect margins. As owner, Aliasgar Shakeer is responsible not only for business performance, but also for deciding when and how new systems are introduced across the organisation.
In such businesses, technology adoption fails not because tools don't exist—but because implementation lacks ownership.
Aliasgar approached the AI workshop with a clear-eyed perspective.
He wasn't looking for novelty or experimentation. He recognised early that AI wasn't a passing trend—it was going to have a lasting impact on how organisations operate. The real question wasn't whether to adopt AI, but how early and how correctly to do it.
Timing mattered.
The biggest insight wasn't about tools—it was about responsibility.
AI wasn't something to be "handed off." It required intent and direction from the top.
The workshop helped bridge intent and execution.
AI stopped feeling abstract and started feeling implementable.
Post-workshop, the shift was structural.
AI adoption moved from awareness to action planning.
The immediate outcome wasn't transformation—it was readiness.
For Aliasgar, the value lay in starting early and starting right.
AI implementation succeeds when ownership is clear.
This experience helped move from:
That shift alone determines whether AI becomes a capability or a cost.
This isn't a story about experimentation or excitement.
It's about recognising that AI adoption—especially in manufacturing and operations-heavy businesses—requires leadership commitment from day one.
Those who start early, with clarity and ownership, don't just adopt AI.
They integrate it.
Get the clarity and preparation needed for successful AI adoption in your manufacturing business.