00:00 - 00:21
Hey, I'm Victor. I'm a quality manager at an ISO 9001 manufacturing company. For most of my career. I lived in what I call quality limbo. It's that space where batches sit in quarantine while your team scrambles to piece together what happened from emails, spreadsheets, and lost photos. You know you've seen the problem before, but can't remember if the fix actually worked.

00:21 - 00:42
Ownership was vague. We just hoped people remembered their tasks. Decisions on scrap or rework lived in different systems than the official logs. Finance didn't see the cost until weeks later. And the worst part? We'd fix the immediate issue. But the corrective action, the part that prevents it from coming back, would fall apart during the hand-off. Then we started using Unifize.

00:42 - 01:02
Let me show you what it looks like now. I open my inbox and see a notification logged overnight by Derek, our shop floor inspector. It's a product out of spec in final inspection. Derek has already captured the basics - batch number, failure mode and details. I can see immediately that we are outside the allowed tolerance on a batch of 32 units for a long term client.

01:02 - 01:23
The clock is running, but I know exactly when it started. I need to move this forward immediately. I assign Brandon our production manager, as the owner to lead the response. I also add the production, engineering and QA teams so they are involved. Because we have a shipment commitment, I set the due date for the 24th. Everyone sees this in their inbox instantly.

01:23 - 01:44
It's explicit, assigned, and the system follows the issue until it's closed. Now we need details. Derek uploads measurement results showing all 32 units have the same trend. Brandon comments that it was "the same line, same shift, same setup". I tagged Samantha, our operator, directly in the chat. She replies that something didn't feel right toward the end of the shift.

01:44 - 02:08
This tells me it's a process issue, not random variation. This entire conversation happens in one place. No separate emails. And importantly, every comment becomes part of the audit trail automatically. We know what happened. Now we decide the fix right here in the non-conformance. I define the disposition as scrap. I then assign it to Brandon. Unifize automatically calculates the labor and material impact.

02:08 - 02:30
I can see immediately this issue will cost just under $700. I request approval from our operations lead, Vivian. Once he approves, the work moves forward. The cost is captured right now, in context, not weeks later. Now we don't wait for the fix to finish before preventing the next one. In the past, we deal with the immediate problem and close the NC.

02:30 - 02:53
But because the handoff to corrective action failed, the same issues kept coming back. Today I raise a linked corrective action request, which can be traced back to its origin. All the context, evidence, discussion and cost moves with it. For this request, I use an 8D format. Previously, I used to hound different teams and search through different systems to understand the actual root cause.

02:53 - 03:18
Now to save time, I use Unifize AI to help surface potential root causes. It reviews the investigation context, past patterns, and suggests gaps. It helps me look past the symptom to the systemic issue, which is what I need to fix to prevent recurrence. AI is not replacing your insight and solving the issue for you, but it surfaces patterns faster than you can switch tabs, so you can focus on making decisions and not gathering data.

03:18 - 03:42
Once the root cause is confirmed, I define the corrective actions with owners and due dates. The system automatically sends reminders and chases the owners as they complete tasks. They attach evidence and I verify each one. When all actions are verified, the corrective action request closes and only then does the non-conformance close completely. No loose ends. Everything stays auditable at all times.

03:42 - 04:07
Six months ago that process took us about 49 days and drove roughly $55,000 a month in cost of poor quality across labor hours and materials. Today, this issue closed in seven days and COPQ is down to about $22,000. Unifize didn't prevent the defect, but it made the work between detection and closure actually move. Six months ago this would have taken seven weeks.

04:07 - 04:10
Today it's done in seven days and that's the difference.