Accounts payable
Review invoices before approval or payment release.
Invoice Intelligence Suite
Prioritise invoice exceptions by supplier, reason, severity, value, owner and days open.
Group invoice exceptions by supplier, reason and severity to create an action queue.
Upload a CSV or Excel file to begin.
Business context
An exception dashboard converts unresolved invoice issues into a prioritised action queue. Value, age, severity, supplier and ownership should be considered together so urgent payment or liability risks are not hidden by volume.
This guidance is designed for people who need to use invoice exception dashboard results in a real approval, planning or operational workflow.
Review invoices before approval or payment release.
Confirm invoice values against purchase orders and agreed prices.
Strengthen payment controls and investigate material exceptions.
Input guide
| Column | Purpose | Example |
|---|---|---|
| Supplier and Invoice * | Identifiers for the exception record. | Northstar / INV-4812 |
| Invoice Amount * | Financial exposure associated with the issue. | 48200 |
| Exception Reason * | Standard issue category. | Quantity mismatch |
| Severity / Owner / Days Open * | Fields used to prioritise and manage resolution. | High / AP Team / 18 |
Mapping note: Use consistent dates, currencies, units and definitions. A correct calculation based on inconsistent inputs can still lead to a poor decision.
Use the analysis as a controlled decision-support step: prepare reliable data, review the exceptions, verify the cause and document the action taken.
Clean the source data and confirm the required fields and reporting period.
Run the tool and prioritise the most important invoice exceptions results.
Validate the cause with contracts, transactions and operational evidence.
Assign actions, export the report and measure improvement in the next cycle.
Decision support
These actions are practical review priorities. Apply your organisation's approval limits, tolerance rules and contractual requirements.
Immediate
Start with records that have the greatest financial, service or operational effect. Confirm the source data before taking action.
Next
Separate genuine performance or demand movement from data quality, timing, unit, currency and process issues.
Monitor
Run the analysis on a consistent schedule, record decisions and compare whether corrective actions improve the next period.
Practical examples
The same result can require a different response depending on product criticality, shelf life, contract terms, service impact and available alternatives.
Several old quantity mismatches are assigned to no owner.
Expected outcome: The dashboard ranks them by value and creates a named action queue.
Many low-value tax rounding exceptions inflate the open count.
Expected outcome: The team separates routine tolerance items from urgent supplier disputes.
The dashboard turns an invoice exception log into an operational queue so high-value and long-open issues receive attention before routine exceptions.
No. Supported CSV and Excel files are processed locally in your browser.
No. Use the result to prioritise review and confirm every decision against source documents and authorised controls.
Yes. Set the percentage tolerance before running the analysis. Use limits approved by your organisation.
It can compare a taxable amount, percentage rate and reported tax, but it does not determine the correct legal treatment for a jurisdiction.