Spend insightsCatch spend problems before month-end close
Clyr’s insights engine reviews your transactions every day and surfaces the things a controller would want to know, automatically. Each flag links to the transactions behind it.
Same vendor, same amount, inside a suspicious window
What you get with ClyrThe findings a controller would go looking for
Anomalies flagged automatically
Duplicates, off-hours purchases, round amounts, and split transactions surface on their own.
Spending spikes and budget trends
A 7-day spend spike is measured against your own trailing weekly average, not a generic benchmark.
Know when one vendor owns your wallet
Vendor concentration gets flagged before it becomes dependence.
A digest, not a dashboard chore
Findings come to you weekly; the details are one click away.
Seven signalsWhat expense anomaly detection actually catches
Most spend problems are invisible in a transaction list and obvious in a pattern. A vendor charging twice for the same invoice. A card used at 11pm on a Sunday. A team member whose weekly spend just tripled. Clyr watches for seven kinds of trouble.
Duplicate charges
Same vendor, same amount, inside a suspicious window.
Off-hours purchases
Spend at times when your business is not usually buying.
Round amounts
The pattern that shows up when numbers are invented rather than incurred.
Split transactions
Purchases broken into pieces to slip under approval limits.
Vendor concentration
One vendor quietly taking over a category.
Spend spikes
A 7-day total that breaks from your trailing weekly average.
Budget trends
Categories drifting toward their limits before they arrive.
Your baselineBuilt for project-based spend
Generic anomaly engines are trained on office-supply patterns, where a Sunday purchase is strange and a spending spike means trouble. Your business buys materials, fuel, subcontractors, and utility bills, where a spike might be a new project or might be a problem, and the difference matters by Friday.
That is why Clyr’s signals measure you against you: this week’s spend against your own trailing average, this pattern against your own history. The baseline is your business, not somebody’s office.
Daily reviewExpense fraud prevention without the audit
Expense fraud in distributed teams rarely starts big. It starts with a personal charge that nobody notices, then becomes a habit. When every transaction is reviewed daily and the odd ones surface automatically, the window for quiet abuse closes.
The same signals also catch honest mistakes, which are far more common and just as expensive.
Push and pullInsights that come to you
Dashboards only work if someone remembers to look. Clyr computes insights daily and delivers a weekly digest, and going from “that looks odd” to “here is exactly what happened” is one click, because every insight links to its underlying transactions.
And when you want to pull instead of being pushed: the full report builder lives at Reports and Exports. The digest is for what found you; reports are for what you go find.
FAQFrequently asked questions
How does duplicate detection work?
Charges from the same vendor for the same amount inside a suspicious window get flagged, with both transactions linked from the insight.
What counts as a spending spike?
A 7-day spend total measured against your own trailing weekly average. The baseline is your history, not a generic benchmark.
How often are insights computed?
Daily. Findings are delivered in a weekly digest, and each one links to its transactions.
Does this replace an expense policy?
No, it enforces one.
Does Clyr also have reports and dashboards?
Yes. Insights are the push side; the report builder at Reports and Exports is the pull side, with filters by job, team member, and category, and Excel and receipt-PDF exports.
What kinds of problems does it catch?
Seven signal types: duplicates, off-hours purchases, round amounts, split transactions, vendor concentration, spend spikes, and budget trends.
Get a demoSee it on your own spend
Book a 20-minute demo. Bring a recent statement and watch Clyr flag your own spend patterns: the duplicates, the spikes, the things a controller would want to know.