Drift Detection

Built for Rho

Surface slow-moving spend patterns your dashboard cannot see.

Demo by Armaan Kazi
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Finds slow spend drift that one-off anomaly checks miss, in six months of synthetic transactions. Each signal gets a severity and projected cost.

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Monthly spend - SaaS, Infrastructure & Misc

02k4k6k8k10kOctNovDecJanFebMarPayroll: stable ~$48k↑ +56% over 6 monthsgrowing
SaaS
Infrastructure
Misc
✓Stable

Payroll

$48k / mo avg

No drift detected

Projected spend at current drift

Solid lines = actual · Dashed lines = projected

03k6k9k12kToday →OctNovDecJanFebMarAprMayJunJulAugSep$5,257 / mo
SaaS
Infrastructure
Misc

Projected SaaS spend by Sep 2025

$5,257 / mo

vs. today

+$2,446 / month

Annualized overspend if unaddressed

$13,869 cumulative

Spend Health Score

Calculated from 6 months of transaction data

67C
SaaS Efficiency
HIGH RISK
Vendor Reliability
MEDIUM RISK
Subscription Hygiene
MEDIUM RISK
Payroll Stability
HEALTHY