OSAIby iBANK
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AGENT 30 / 50 · COST & GROWTH OPS

Churn Impact Analyst

Quantifies what a churn reduction is actually worth — the MRR saved over a year if churn drops from where it is to where you're targeting.

READS FROMiUL ledger, iPAY subscription data
MCP SERVERCore Banking Server
MODELRouted to reasoning-tier open model
HANDS OFF TOCohort Revenue Analyst, CFO Decision Support Agent
RUN THE AGENT

Set current and target churn, generate the impact

This is a live working demo of what the agent produces — adjust MRR and the churn scenario and it recalculates the revenue impact instantly.

ASSUMPTIONS

£118K
MRR saved over 12 months
+50%
Increase in avg customer lifespan
£64.8K
MRR at risk / month at current churn
£118K
Year-1 MRR gap between scenarios
Month
HOW IT WORKS

What the agent actually does

1. Pull churn historyReads current MRR and the trailing monthly churn rate from iUL and iPAY
2. Model both scenariosProjects MRR forward 12 months at current churn and again at the target churn rate
3. Quantify the gapSums the MRR difference between the two paths to value what the churn reduction is worth
4. Hand offPasses the impact case to the Cohort Revenue Analyst and CFO Decision Support Agent
← Agent 29 · Cohort Revenue Analyst All 50 agents