In 2025, Tan Wei Ming runs a mid-sized metal parts factory in Johor that supplies precision components to automotive and industrial clients. Until last year, his workdays were a blur of chasing production delays, solving machine issues, and juggling delivery timelines.
Now? His operations hum like a well-oiled CNC machine—thanks to Agentic AI.
Here’s a day in the life, one year after adopting Ocunapse’s Agentic AI system.
6:00 AM — Production Wake-Up Call
Before Wei Ming even arrives at the factory, his AI agent—nicknamed “Forge”—has already logged into the factory’s IoT network. Overnight, it ran diagnostics on all 38 CNC machines, laser cutters, and welding stations.
This morning, Forge reports:
- 3 machines need tooling replacements within the next 36 hours (it’s already placed the orders).
- One welder’s cooling system shows signs of inefficiency (Forge has scheduled a 15-minute check during the least busy shift).
Instead of walking into potential chaos, Wei Ming walks into clarity.
8:15 AM — Shift Scheduling on Autopilot
Forge reviews incoming orders, lead times, and worker availability, then generates the day’s shift plan—balancing workloads and factoring in skill levels for complex parts.
Today, a rush order for 1,200 gearbox casings comes in from a regular client. Forge reshuffles two workstations, reassigns operators, and still keeps the original delivery commitments intact.
Wei Ming approves the new schedule with a single tap.
11:00 AM — Quality Control Without the Clipboard
While the morning production runs, Forge uses computer vision systems to inspect samples in real time. It detects a 0.3mm tolerance deviation on a batch of custom steel flanges.
Instead of flagging it for later, Forge:
- Pauses the affected line.
- Alerts the line supervisor.
- Suggests machine parameter adjustments based on historical fix data.
The result? Zero wasted material, zero late deliveries.
2:30 PM — Predictive Supply Chain Management
Forge notices that a European steel supplier is facing port delays due to a strike. It instantly runs procurement alternatives and identifies a local supplier with acceptable quality grades.
It renegotiates the rate based on Wei Ming’s preset parameters and confirms the purchase—keeping production flow uninterrupted.
4:45 PM — Automated Client Updates
Instead of Wei Ming spending an hour writing updates, Forge automatically generates progress reports for clients, complete with live production status, estimated delivery times, and QA certifications.
One client replies: “Impressed by the transparency—keep it up!”
7:00 PM — Continuous Learning Before Shutdown
As the factory powers down, Forge compiles the day’s operational data, cross-references it with past performance, and adjusts tomorrow’s strategy. It even suggests training modules for operators based on skill gaps it observed.
The Outcome After 12 Months
- 18% increase in overall production output
- 27% reduction in machine downtime
- 15% lower material waste
- Improved client satisfaction and repeat orders
Wei Ming now spends more time on business strategy and client relations—and far less time firefighting.
From unpredictable chaos to precision-perfect flow—this is the promise of Agentic AI in manufacturing.
With Ocunapse’s intelligent agents, factories like Wei Ming’s aren’t just keeping up with demand; they’re staying three steps ahead.
