Manufacturing
Manufacturing know-how and logistics: are they riding on individuals?
Inspection standards, the craftsperson's touch, equipment maintenance, reading inventory — when on-site know-how concentrates in individuals, the reasons things stall only multiply. Cor. walks with you toward the next step, matched to your on-the-ground challenges.
01 / Common Challenges
The "reasons things stall" we often hear in manufacturing.
Visual inspection riding on individuals, and the risk of defective products slipping through due to inconsistent quality standards between inspectors
A reality where judging scratches and burrs relies on individual feel, and keeping manuals in sync is difficult
The break in machining know-how and craftsmanship as skilled workers age and retire, and the resulting delay in training younger workers
A structure where intuitive skills like welding and cutting go unspoken, with no time to spare for OJT
Sudden equipment breakdowns causing "line stoppages" and the enormous repair costs of reactive maintenance
A reactive fix-it-when-it-breaks approach, with the risk of missing early signs such as faint abnormal noises or vibration in machines
The difficulty of reading "optimal inventory" while caught between excess stock and stockout risk
Conflict between sales and management anticipating material price hikes and procurement delays, and demand forecasting riding on individuals
02 / How Cor. Walks With You
Here's how Cor. walks with you.
We move forward together, combining AI contract development, AI advisory, local LLM, and Grift to fit each challenge. We don't deal in certainties — we value walking alongside you in a way that fits the realities on the ground.
- AI contract development
Helping organize visual-inspection standards into a form usable on site
We work with you to organize inspection criteria and reference images and build a setup that curbs inconsistency in judgments. On the premise that a person makes the final call, we aim to ease the burden of initial screening.
- Local LLM & secure AI
Putting machining know-how into words and an environment younger workers can draw on
We organize skilled workers' work records and procedures into a form AI can learn from easily. We support a setup that keeps on-site confidential information in, letting younger workers draw on the organization's knowledge when a question comes up.
- AI contract development
Exploring a setup to catch early signs from equipment data
We work with you to build a setup that catches early signs of anomalies from data you can capture on site, such as abnormal noise, vibration, and operation logs. We support a gradual shift from reactive to preventive maintenance.
- AI advisory & training
Pulling inventory and demand reading out of individual dependence
We walk with you to organize information from sales, management, and the site into a state where the basis for optimal-inventory judgments can be shared. From organizing the assumptions behind demand forecasting to how to select and roll out tools, we think it through together.
Start by framing how to use AI on confidential data.
We help you decide where to begin under industry constraints. You can also review how Grift builds estimate rationale.
Grift outputs are reference estimates before consultation. Formal price and schedule are confirmed after requirements review.