86% downtime reduction
50 to 12 customer shorts in six months
19 facilities. One platform.
10% labor cost savings
Production data updates at end of shift. By the time you find out something went wrong, it already cost you.
/01
We follow a part from raw material through every work center to the shipping dock. Every gap becomes visible.
Your Allen-Bradley controllers. Your Fanuc CNCs. Your ERP that says one thing while the floor says another. We trace the data from the machine through the system to the report your operations leader reads at end of shift. We find where production data disappears between the PLC and the ERP, where setup procedures exist only in your senior operator’s memory, and where quality records are assembled after the fact instead of generated during the work.
By the end, you have a clear picture of where your data architecture holds, where it breaks, and what closing those gaps is worth in downtime, scrap, missed shipments, and compliance exposure.
Where we look:
/02
Your CNC sends cycle data directly to the production dashboard. Your ERP updates from the floor. Your operators run the current work instruction, not last month's printout.
This is where visibility stops being a goal and becomes a system output. Your PLC data flows into MAST in real time. Not transcribed at end of shift. Not waiting for someone to update a spreadsheet. Your operators pull up digital work instructions on a tablet at the work center. The current revision. Not the one taped to the machine.
MAST integrates with your ERP and your production equipment. Nothing gets ripped out. Nothing gets replaced. The systems you already run start producing the visibility your operations team has been asking for.
What this looks like on your floor:
/03
A spindle vibration pattern shifts on a CNC lathe. The system catches it before the machine goes down. Before scrap. Before a missed shipment.
That is what intelligence looks like in a manufacturing environment. Not a dashboard. Not a report. A system that watches your machines, your materials, and your production schedule. And acts on what it finds.
A material lot arrives at receiving with properties that will produce out-of-spec parts. It gets flagged before it reaches the work center. Your production schedule needs to shift because a machine went down or a rush order arrived. The system adjusts in real time instead of waiting for the planner to rebuild the board. Your quality team submits a customer audit package. The documentation is already there because the system generated it from production data.
Clara, the AI assistant embedded in MAST, surfaces root cause when problems occur. Recommends corrective actions. Answers operator questions about procedures and specs in plain language.
The system learns from every shift, every deviation, every correction. It gets sharper over time without adding headcount.
/04
Your new operator pulls up the setup procedure for a complex job on a tablet. Your planner sees the full production schedule across every facility in one view.
That is what adoption looks like. Not a training binder that sits in the break room. A system your people reach for because it makes their job easier and their documentation automatic.
Lila, the knowledge platform embedded in MAST, puts setup procedures, inspection criteria, torque specs, job-specific instructions, and equipment-specific troubleshooting in front of your people when they need them. On the floor. Not in a filing cabinet. Not locked in someone’s head.
When your most experienced operator retires, their knowledge of how to set up a difficult job, how to dial in a process, how to troubleshoot a machine does not retire with them. It is documented, structured, and available to the person who takes their place.
What your team gets:
50 to 12
Customer shorts per month. Six months.
86%
Downtime reduction across seven facilities.
10%
Labor cost savings.
50%
Integrates with your existing LMS and SIS. Nothing replaced.
19
Facilities. One platform.
