Industry / Industrial Manufacturing
Manufacturing
"Your OEE gap isn't a capital problem. It's a parts and maintenance data problem."
Most manufacturers already have the assets they need to close the performance gap. What's missing is the right parts in the right place, maintenance schedules tuned to actual failure modes, and planners who spend their time planning, not chasing information across disconnected systems.
ROI guaranteed in validated annual savings, or Phase 1 is free.
We take on a limited number of diagnostic engagements per quarter.
From prior engagements
30%
Reduction in unplanned downtime
Through AI failure prediction and optimized PM scheduling across critical equipment.
35%
Reduction in maintenance backlog
Driven by intelligent task list management and automated work order prioritization.
3–15×
Return on engagement fee, year one
From recoverable OEE and working capital, not from headcount reductions.
The Engagement
What a Manufacturing Diagnostic
delivers.
Six to eight weeks. A prioritized opportunity map with a dollar value on every initiative. Your team can execute it without us. Or we can stay in.
"Your plant already has what it needs to close the gap. Your parts program doesn't."
Most manufacturers have already made the capital investments. The OEE gap is not a machine problem. It is a data problem. Maintenance records, downtime logs, and parts consumption patterns already contain the signal. Nobody has put it to work.
10 pts
OEE improvement, no capital
3–15×
Typical recovery in year one
6–8 wk
To a prioritized roadmap
What You Walk Away With
- –Top failure modes by asset class, ranked by downtime impact
- –Spare parts optimization by line item with reorder logic
- –PM schedule redesign for your highest-cost equipment
- –OEE improvement opportunity quantified in dollars
- –Implementation roadmap your team can execute
Where We Work
Six leverage points.
All quantifiable.
Every engagement starts with a diagnostic to find the highest-value entry point for your specific operation. We don't sell modules. We find where the margin is and build from there.
Know which machine fails before it does
ML models that detect early warning signs across rotating equipment, instrumentation, and utilities before failures cascade into unplanned downtime.
Free the capital locked in your parts inventory
Right-size inventory stocking levels by aligning reorder points to failure probability and lead times, freeing trapped working capital without increasing risk.
Stop paying twice for the same part
Identify and consolidate duplicate material records to improve MRP accuracy and eliminate procurement waste at the source.
Maintain what needs it. Skip what doesn't.
Move beyond calendar-based PMs to condition-driven schedules that reduce unnecessary maintenance and close coverage gaps on your highest-cost assets.
Cut planner time per work order in half
GenAI copilots that draft task lists, scope work orders, and surface relevant procedures, cutting planner time per order by half.
See exactly where your OEE gap lives
Connect failure modes and maintenance patterns to your OEE model. We identify which assets and failure sequences are costing you the most throughput, and exactly how much.
Next step
Find out where your
OEE gap actually is.
A diagnostic engagement runs 6–8 weeks and returns a prioritized roadmap with a dollar value on every initiative. If we can't see a clear path to 10× return on our fee, we won't take the work.