Anomaly Detection
AI that watches your numbers so you don't have to.
SteadyOps Anomaly Detection uses AI to flag unusual expenses, payment pattern changes, revenue drops, and duplicate invoices before they become problems.
The old way vs the SteadyOps way
The old way
A $2,500 materials charge goes unnoticed. Customers start paying later. Revenue drops 25% before anyone realizes. By the time you see it in your accounting, it's last month's news.
The SteadyOps way
SteadyOps AI analyzes every transaction against your historical patterns. Unusual expenses, payment delays, revenue drops, and duplicate invoices get flagged automatically.
How it works
Get started in minutes
AI learns your patterns
Over the first 30 days, the system builds a baseline of your normal activity — typical expense amounts, payment timing, revenue by week, and invoice patterns. The model updates continuously as your business evolves.
Every transaction is compared to baseline
Each new expense, payment, and invoice is compared against your historical patterns. AI calculates a confidence score for how 'normal' each transaction is.
Anomalies trigger alerts
When something deviates significantly — an expense 3x the usual amount, a customer paying 2 weeks later than normal, or a duplicate invoice number — an alert is generated with full context.
You investigate and resolve
Each alert includes the transaction details, the expected baseline, and why it was flagged. Mark it as legitimate (the model learns) or take action to resolve the issue.
Key capabilities
Unusual expense detection
AI flags expenses that are significantly higher than your historical average for that category. A $2,500 materials charge when your average is $800 gets flagged immediately.
Payment pattern analysis
Track how quickly each customer pays. When a customer who normally pays in 5 days takes 25 days, AI alerts you before the invoice goes seriously overdue.
Revenue drop alerts
If weekly or monthly revenue drops below your rolling average by more than a configurable threshold, you are alerted with a breakdown of what changed.
Duplicate invoice detection
AI catches duplicate invoice numbers, duplicate amounts to the same customer within a short window, and other patterns that suggest an invoicing error.
Late payment trend detection
If customers across the board start paying later — even by a few days — AI detects the trend and alerts you. Catch systemic collection issues before cash flow suffers.
Daily anomaly scans
The system runs a full scan every day, comparing all activity against your baselines. New anomalies appear in your morning digest or as real-time alerts.
Real-world scenario
See it in action
The scenario
A tech submits an expense for $2,400 in materials from a supplier. The system flags it: 'This expense is 3.1x the average materials charge for this supplier ($775). Review recommended.' The owner checks and discovers a duplicate invoice — the supplier billed for the same delivery twice.
The result
The duplicate charge is caught before payment is sent, saving $2,400. Without anomaly detection, it would have been paid automatically and discovered — maybe — during quarterly reconciliation.
Anomaly Detection is included in every paid plan
No add-on fees. No per-feature pricing. Anomaly Detection is part of the SteadyOps platform starting at $49/mo.
Frequently asked questions
The baseline model is functional after 30 days of data. Accuracy improves continuously as more data is collected. If you have historical data in SteadyOps, the model can backfill and be accurate from day one.
The system is tuned to minimize false positives. When you mark an alert as legitimate, the model learns and adjusts. Most users see false positive rates drop to under 10% within 60 days.
Yes. Set the threshold for each anomaly type — flag expenses that are 2x, 3x, or 5x the average. Tighter thresholds catch more issues but may produce more alerts.
Try Anomaly Detection free for 7 days
No credit card. No contracts. No per-user fees. Start using Anomaly Detection in under 5 minutes.