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Between user-defined rules and AI prediction trained on your own history, most transactions arrive already coded to the right account, job, and property.
Build rules from conditions like vendor, amount, and card, and set the coding they apply: GL account, project, property, customer, department, or cost code. Rules run the moment a transaction lands.
For transactions no rule covers, Clyr predicts the GL code from how your team coded similar transactions before, and only applies a suggestion when it clears a confidence threshold. No creative guessing on your chart of accounts.
A built-in duplicate check flags transactions that look like they were charged twice, before they get coded and synced twice.
Coding is the bottleneck of every finance workflow: someone has to decide the GL account, the job, the property, and the class for every single transaction. Clyr attacks the bottleneck from two directions: a rules engine you control, and AI prediction trained on your own history.
Rules run the moment a transaction lands. Build them from conditions like vendor, amount, and card, and set the coding they apply: GL account, project, property, customer, department, or cost code. The gas station near the shop, the monthly software subscription, the usual supplier: coded before anyone looks at them.
For transactions no rule covers, Clyr predicts the GL code from how your team coded similar transactions before, and only applies a suggestion when it clears a confidence threshold. No creative guessing on your chart of accounts, and no black box: low-confidence transactions simply wait for a human.
A built-in duplicate check flags transactions that look like they were charged twice before they get coded and synced twice. Catching a duplicate at arrival costs seconds; catching it after it hit the client invoice costs a phone call you do not want to make.
When the routine 80 percent of transactions code themselves, month-end stops being a coding marathon and becomes a review. Your bookkeeper checks exceptions instead of typing account numbers, and the books are continuously current instead of monthly reconstructed.
Vendor, amount, and card are the workhorses. A rule can apply any combination of coding fields: GL account, project, property, customer, department, or cost code.
It predicts from your own historical coding and only applies suggestions above a confidence threshold. Transactions below the threshold are left for human review rather than guessed.
Coding automation covers your spend as it arrives, and bills additionally get AI coding suggestions drawn from each vendor's history.
Always. Rules and predictions set the starting point; any human edit wins, and the AI learns from how your team actually codes.
Book a 20 minute demo and watch your own expenses arrive coded, matched, and ready to sync.