Drift Detection
Built for RhoSurface slow-moving spend patterns your dashboard cannot see.
What this is
Rho processes every corporate card transaction, AP invoice, and bank transfer for a company in one place. Most anomaly detection tools flag large one-off transactions. Drift Detection surfaces something harder to catch: slow-moving patterns that compound over months - a SaaS category creeping up 12% month-over-month, a vendor billing inconsistently, recurring spend that nobody remembers approving.
What Rho currently shows
Rho's dashboard shows account balances and transaction history. It does not surface multi-month trends, flag gradual spend drift, or distinguish intentional growth from unnoticed cost creep.
Today - transaction list
With Drift Detection
What changes
| Feature | Without Drift Detection | With Drift Detection |
|---|---|---|
| Spend visibility | Transaction list - amounts and dates only | ✓Trend analysis across 6 months per vendor |
| SaaS creep | Invisible - looks normal month to month | ✓Flagged when category grows >8% MoM |
| Vendor anomalies | No way to spot inconsistent billing | ✓Variance detected and surfaced automatically |
| Forgotten subscriptions | Recurring charges go unnoticed indefinitely | ✓Flat recurring charges with no usage correlation flagged at low severity |
| CFO time | Manual review of every line item | ✓AI surfaces only what needs attention |
| Data required | Works with any bank | ✓Uniquely possible with Rho's unified cards + AP + banking data in one place |
Without
Transaction list - amounts and dates only
With
✓Trend analysis across 6 months per vendor
Without
Invisible - looks normal month to month
With
✓Flagged when category grows >8% MoM
Without
No way to spot inconsistent billing
With
✓Variance detected and surfaced automatically
Without
Recurring charges go unnoticed indefinitely
With
✓Flat recurring charges with no usage correlation flagged at low severity
Without
Manual review of every line item
With
✓AI surfaces only what needs attention
Without
Works with any bank
With
✓Uniquely possible with Rho's unified cards + AP + banking data in one place
What this demo adds
Drift Detection runs six months of synthetic transaction data through a pattern analysis engine that looks for what standard dashboards miss: compounding spend trends, inconsistent vendor billing, and flat recurring charges that nobody is watching. It surfaces each signal with severity ranking and a projected cost if left unaddressed.
Why it's better
Catches what one-off detection misses
Slow-moving patterns like SaaS creep at 12% MoM or inconsistent billing cycles are invisible to standard anomaly detection. Drift Detection finds them.
Only possible with Rho's unified data
Cards, AP, and bank transfers in one ledger means patterns can be correlated across sources. No other platform has this data advantage.
Surfaces signal, not noise
Instead of alerting on every large transaction, it ranks by severity and surfaces only what actually needs a CFO's attention.
Why This Is Different
Most spend tools show you what happened. Drift Detection shows you what's happening: the gradual shifts that compound quietly until someone looks at the annual budget and wonders where $40k went.
Try it
Six months of synthetic company transaction data. Switch scenarios to see how the detector responds.
The chart below excludes payroll. Watch the SaaS line.
Monthly spend - SaaS, Infrastructure & Misc
Payroll
$48k / mo avg
No drift detected
At current drift rates, here is where spend is heading
Solid lines = actual · Dashed lines = projected
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
Score updates automatically when new transactions are analyzed.