The watchdog that notices at 3 AM what you would have seen at 9
A stockout, a stuck delivery, a payment failing in a loop: every hour between the incident and its detection costs money. The watchdog monitors your operational flows continuously, separates noise from signal, and alerts the right person with context — not just “something is wrong”.
The problem it removes
- 01
Incidents surface when a client complains — which is too late, and through the wrong door.
- 02
Existing alerts cry wolf about everything; eventually nobody reads them.
- 03
Nights and weekends, nobody is watching — and Monday morning starts with firefighting.
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.
What the agent does
Context
every alert comes with the data that explains it
24/7
watching, nights and weekends included
Signal
only anomalies that call for action trigger an alert
What the agent does by design, not measured averages: your results are measured during the diagnostic and the pilot, on your own data.
Frequently asked questions
How is this better than my current tools’ alerts?+
Your tools each alert in their own corner, on fixed thresholds, and often cry wolf. The watchdog crosses flows between tools, learns normal behaviour, and only interrupts when action is useful — with the diagnosis already done.
What exactly does the watchdog monitor?+
Whatever hurts you when it breaks: stock and stockouts, orders and deliveries, payments and direct debits, ticket queues, system availability. The scope is defined at the diagnostic and widens with trust.
Can it act on its own, or only alert?+
It starts by alerting. Then, for recurring incidents with a known fix — restarting a job, rebalancing stock, reopening a slot — you can authorise it to act alone, case by case, fully logged.
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.
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The self-assessment grid: 20 tasks AI can automate
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.
This solution, industry by industry
Operations watchdog — Transport & logistics
A full-truckload carrier runs 50 rigs, a third of them at night. Between 10 PM and 6 AM nobody watches the dispatch screen — problems surface over morning coffee.
- At 3:10 AM, a rig stops 40 minutes at an unplanned rest area: the watchdog crosses the telematics position with the plan and opens an “abnormal stop” anomaly without waking anyone.
- At 4:30 AM, accumulated delay threatens the 6 AM slot at a retail distribution centre: the watchdog texts the on-call manager with the new ETA and the booking number to renegotiate.
- Come 6 AM, the first dispatcher in finds the night summarised: two anomalies self-resolved, one action pending with full context.
Missed-slot penalties are now played out at 4:30 rather than 8 AM: the on-call manager is warned while renegotiation is still possible, not once the truck is already turned away at the dock.
Order of magnitude
- · around fifteen night incidents a month: delays, abnormal stops, immobilisations
- · 2 to 4 hours between incident and detection today, versus minutes under continuous watch
- · a missed retail slot penalty of €150 to €500 depending on contracts
Detection cut from hours to minutes across some fifteen monthly incidents — if a third of penalties are avoided, savings sit around €1,000 to €2,500 a month, before counting the commercial cost of clients warned too late.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
Operations watchdog — Construction & trades
A roofing and waterproofing firm of 18 employees works with 8 regular subcontractors — some thirty certificates and documents whose expiry warns no one.
- The watchdog spots a social-security certificate expiring mid-project and chases the subcontractor directly, copying the works supervisor.
- On the 25th of the month, it flags the projects whose payment application has not been issued — the one cash flow will miss in 60 days.
- As a handover approaches, it lists the documents missing from the as-built file so the pack leaves complete, not “to follow”.
Due diligence holds without binders or spreadsheets, and administrative oversights stop turning into withheld payments.
Order of magnitude
- · 8 subcontractors tracked, about 4 expiring documents each
- · a quarterly manual check leaves an expired certificate invisible for weeks
Across the thirty-odd documents watched, the exposure window shrinks from several weeks to under 24 hours — the gap between a quiet fix and a suspended site.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
Operations watchdog — Manufacturing & industrial SMEs
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.
- 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.
- 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.
- 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.
Supply incidents get handled days ahead with a plan B — not in a crisis huddle on release morning.
Order of magnitude
- · 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.