Quality Holds
A lot failed inspection — release, rework, or scrap?
The decision
A lot tripped a quality check. It's bound for a key customer, rework is possible but slow, scrap is clean but costly, and a deviation might be acceptable. Release with deviation, rework, or scrap?
Why it's hard today
Release a bad lot and you risk a customer escape; scrap a good-enough one and you eat the cost. The call depends on the defect's severity, the customer's spec tolerance, and the schedule — held in specs, history, and judgment.
Your QMS records the failure; it doesn't weigh the deviation against the customer's real tolerance, the rework cost, and the schedule. It logs a hold, not a disposition.
What AgentForgeOS does
It assembles the picture you can't see, and makes the call under your rules.
Release under a documented deviation that stays inside the customer's tolerance — avoiding cost and delay without risking an escape — under your quality policy.
- Defect type and severity
- Customer spec and tolerance
- Rework cost and time
- Schedule impact
- Deviation history for this defect
- Customer-tolerance limits
- Deviation-documentation rules
- Defect-severity gates
- Escape-risk thresholds
⚠ Lot failed — Q-4471, bound for a tier-A customer
Evidence assembled
- Defect cosmetic, within historical deviation grants
- Customer spec allows minor variance
- Rework adds 6 hours
- Schedule tight this week
Recommendation · release under documented deviation
Policy: within customer tolerance · deviation documented · awaiting QA sign-off
What improves
- Fewer needless scraps and reworks
- No quality escapes to customers
- Schedule protected
Each disposition and whether the customer accepted it is kept, so the model learns this defect's real tolerance, by customer and spec.
Underneath, this is the same operating model the rest of the platform runs: verified context is assembled, options are weighed and adversarially challenged, the decision is governed by your policy, and the outcome is learned. The decision changes from one of these to the next. The architecture does not.
See how it worksThis is exactly how your team works today.
Only now the decision is assembled, governed, and remembered — instead of made from memory and lost.