Operations watchdog for manufacturers and industrial SMEs
A missing component, a work order stuck at a workstation, a non-conformity with no action plan: in a manufacturing SME these drifts surface at the production meeting — one or two days too late. The watchdog spots them continuously and alerts the right person while there is still time to act.
In your day-to-day
- 01
Alert when a supplier delay puts a planned work order into shortage, before release — not at the missing-part stage.
- 02
Detection of a work order abnormally idle at a workstation, the sign of a shop-floor blockage or machine issue.
- 03
Flagging of open non-conformities with no action plan beyond the delay you set.
A typical scenario
An assembly SME discovers missing parts at work-order release — and every late discovery ends in hand-redone scheduling and delivery dates renegotiated by phone.
- 01
Tuesday, 10:40 PM: a supplier pushes an insert delivery back eight days. The watchdog walks up the bill of materials and identifies the two work orders and three client orders hit.
- 02
At 6 AM the buyer finds the full alert: remaining stock, affected work orders, and the last date to re-source before the plan breaks.
- 03
During the day it spots that a subcontracted surface treatment has not come back on the promised date, and warns before the assembly station grinds to a halt.
What changes
Supply incidents get handled days ahead with a plan B — not in a crisis huddle on release morning.
Order of magnitude
Working assumptions
- →around ten significant supply or shop-floor incidents a week
- →current detection at the next day’s production meeting, 12 to 24 hours after the signal
- →watchdog detection in under an hour
Roughly 12 to 23 hours of lead regained on every incident — exactly the margin that separates a schedule adjustment from a stopped line.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
Supply shortages are discovered when the work order is released — and scheduling gets redone by hand in a rush.
- →
The sales-admin inbox mixes PDF orders, supplier confirmations, delivery-date requests and quality claims — everything is retyped, nothing is prioritised.
- →
Key accounts demand EDI, supplier portals and service-rate indicators — and it is your team copying data from one system to another.
How it works
- 1
Continuous watch over your flows
Stock, orders, deliveries, payments, queues, systems: the watchdog reads your tools continuously and learns each flow’s normal behaviour.
- 2
Signal, not noise
A seasonal variation is not an anomaly. The watchdog qualifies each gap — normal, watch, incident — and only alerts when action is useful. That triage is what keeps alerts trusted.
- 3
The right person, with context
The alert reaches the person who can act, with the diagnosis: what, since when, how big, and first leads. Escalation is automatic if nobody acknowledges.
Typical results
4 min
from anomaly to alert, observed in production
24/7
watching, nights and weekends included
÷10
alert volume, thanks to signal/noise triage
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the watchdog reschedule the shop floor on its own?+
No — scheduling stays a human decision. The watchdog detects, qualifies and alerts the scheduler with context: which work order, which missing part, which client orders are affected. It wins you the hours that matter, not the decisions.
Do we need connected machines for it to work?+
No: the watchdog works first with what exists — MRP, shop-floor clocking, supplier confirmations, stock levels. If you have supervision systems or connected machines, it uses them too, but they are not a prerequisite.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
Get my free diagnosticFree resource
Get the self-assessment grid for your sector
Sales, admin, support, operations: the 20 tasks AI agents already handle in SMEs — with, for each one, the tell-tale sign that your team is concerned.