On a typical 2-person service shop, roughly 60% of process failures are silent — no complaint, no ticket, no escalation; the dropped thread never surfaces in the helpdesk because the visitor who walked out never reached out at all. Stack the ~1-in-3 after-hours share on top, and the same four findings the mapping call surfaces on /slow-reply, /missed-questions, and /cart-recovery show up here: a ~€4,500/month worked-loss envelope that the mapped journey + an AI agent recovers, by closing the handoff the team was missing before the bot was built.
Source note · Oldroyd / Lead Response Management (the 5-minute response-window study) insidesales.com.
Leak on the line
~€4,500/month
of service-avoidable loss sitting inside the silent drops on a 2-person service shop — ~60% of process failures leave no complaint, ~1 in 3 of those land after hours, and the post-handoff follow-up the team forgets is where the bulk of the leak shows up. Recoverable once the mapped journey + an AI agent is running against your operation instead of a generic template. The assumptions are spelled out below; a critic can rerun the math against your own enquiry volume and lead value.
Worked example, not a guarantee. The arithmetic and the underlying assumptions live one section below.
The four findings the brief surfaces
Process-breakdown loss on a 2-person service operation is not a single problem. It is four leaks at once — the silent-drop rate that defines what the team never sees, the handoff that loses the thread between visits, the after-hours share of silent drops the team discovers on Monday morning, and the worked dollar-loss the same pattern rolls up to. The map finds them; the build closes them.
The arithmetic, with assumptions spelled out
Take a 2-person service shop with 300 service enquiries a month and a €60 average lead value. Apply the Oldroyd / Lead Response Management finding that a reply inside five minutes qualifies at a radically higher rate than a reply hours later — concretely, a 25-percentage-point conversion gap between the five-minute bucket and the four-hour bucket. With roughly 60% of process failures leaving no complaint (the silent-drop share), and ~1 in 3 of those landing after-hours, the lost enquiries that walk out at the handoff rather than being caught there — 300 × 25% — is 75 lost conversations/month, × €60 average lead value = €4,500/month sitting inside the dropped-thread leak a mapped journey + an AI agent closes. Real shops skew higher once the enquiry volume grows or the lead value climbs; the rounded €4,500/month figure on the hero sits inside the same envelope across most 1- and 2-person service SMBs.
Source · Oldroyd / Lead Response Management (the 5-minute response-window study) insidesales.com. Worked example, not a guarantee — substitute your own enquiries/mo and lead value to rerun.
Sample inputs
Worked loss
300 × 25% × €60 ≈ €4,500/month
Picking up where the process-breakdown map leaves off
The four findings on this page are the same four the mapping call decides between during week one — and the same four the bot covers on a real engagement. The sibling pillar on slow reply walks the same five-minute / after-hours track for reply times; the parallel on missed questions walks the FAQ-coverage version of the same leak; the SMS-side version lives on cart recovery; how this stacks up against off-the-shelf tools lives on compare. The engagement shape on the pricing page covers how the build runs once the map is in hand.
FAQ
Quick answers about the silent-drop share, the post-handoff handoff leak, the ~€4,500/month worked loss, and how the mapped journey + an AI agent actually catches it. If yours isn't here, send it directly to hatchloom-5@polsia.app.
One mapping call away
No sales deck, no demo under NDA. Send us the shape of your operation, the helpdesk and CRM you already pay for, and a window for a 30-minute call. We'll tell you in plain English which of the four findings is the biggest silent-drop leak on a 2-person shop — and whether the engagement fits. See how the engagement runs on the landing page.
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