Singula Recovery Pre-Failure Radar
StreamHaus · 512K subs Live · 05 May 2026
30-day forward view

£0K

of recurring revenue is at risk over the next thirty days.
£247K we can save before the issuer ever sees a decline.

01 — The Horizon

Every upcoming billing, scored.

Each dot is one upcoming payment. Position by due date, colour by failure probability. The red ones won't go through unless we act.

High risk · 80–100
Elevated · 60–79
Watch · 40–59
Low · 0–39
— upcoming billings
02 — Why it will fail

Three families, one queue.

Card lifecycle is the lion's share — and the most automatable. Behavioural drift is retention work disguised as a payments problem. Issuer/contextual is the long tail.

03 — Acting today

Five interventions, ranked.

The pre-emptive moves the system would dispatch right now — ordered by expected revenue protected per pound of intervention cost. Tap any row for the reasoning.

04 — The economic case

The cheapest payment is the one that never fails.

Pre-failure intervention costs roughly a fifth of post-failure recovery, succeeds at twice the rate, and never triggers the friction cascade that drives voluntary churn after a decline.

Without Radar — next 30 days
£412K

30,720 expected failures hit the issuer. Recovery Console catches what it can. Voluntary churn cascades silently in the customers who got declined.

— observed baseline
With Radar — next 30 days
£165K

Radar deflects 18,520 failures pre-issuer. The remaining 12,200 become Recovery Console's job. Total leakage falls 60%.

— modelled, 60% deflection

£247K saved, and 18,520 customers never see a decline screen.