Digital tools tied to measurable operating results.
Most manufacturers have more data and more software than they use well. The gap is not technology; it is knowing which decisions to improve, which numbers to trust and how to make new tools stick on the floor. I help operations leaders close that gap.
Where I help
- Defining the operational KPIs that matter and a single source of truth for them
- Connecting MES, ERP and quality data to daily management and executive decisions
- Identifying and prioritizing AI and analytics use cases by expected value
- Designing pilots with clear success measures, then scaling what works
- Thinking through validation and governance for digital tools in regulated environments
Vendor-neutral
I do not sell software. My job is to tie every digital initiative to a measurable operating result, such as lead time, yield, service level or cost, and to stop the ones that will not deliver.
Common questions
Where should a manufacturer start with AI?
With an expensive, measurable operational problem and data you already collect. A narrow use case that pays back is worth more than a broad strategy that never leaves the slide deck.
Do we need a new system first?
Usually not. Better definitions, cleaner data flows and a working daily management rhythm often unlock more value than another platform.
