Processing-Time Reduction
Reported reduction in processing time per invoice.
Client case study
Xalta’s UiPath vendor invoice workflow reports 80% less processing time, approximately 70% less manual effort and approximately 99% data accuracy while handling more than 600 invoices per month. Classification, extraction and Action Center review prepare validated records for downstream processing.
Discuss a Similar ProjectClient-case results: 80% less processing time, ~70% less effort, ~99% data accuracy and 600+ invoices per month.
Reported reduction in processing time per invoice.
Reported reduction in invoice-handling effort.
Supported by extraction checks and business validation.
Reported operational capacity in the case.
Client & project context
The client is a global enterprise with document-heavy finance workflows across business units. The AP team received varied vendor invoice formats and needed a consistent set of fields for downstream processing.
The project focused on invoice classification, field extraction, human validation and standard template output. Validated records were prepared in the agreed format for downstream processing.
The challenge
The finance team needed reliable invoice information across different layouts without increasing the amount of manual reading and template preparation.
Different invoice formats required repeated interpretation and data handling.
Repeated entry increased the risk of inconsistent or incorrect fields.
Invoice records were delayed while users prepared the information needed by downstream systems.
Higher document volumes created more work for the same finance team.
The solution
A UiPath workflow separates classification, extraction and business review before creating the agreed output records.
Vendor invoices are organised by supported template type. Document Understanding extracts single-account layouts, while custom scripts support multi-account formats. Discrepancies and uncertain fields are routed to Action Center.
Organise incoming documents using the supported vendor and template rules.
Apply Document Understanding or the relevant custom extraction logic.
Send low-confidence fields and discrepancies to a reviewer before output preparation.
Populate the agreed template using field mappings and service ID rules.
Business users validate and correct uncertain information in UiPath Action Center. Only the reviewed or accepted data is used to populate the standard output record.
How it works
The stages below show the implemented process from source information to output or review.
Read documents from the vendor-specific input folders.
Vendor input foldersIdentify the supported vendor or template type for extraction.
UiPath classification workflowUse Document Understanding or custom logic for the relevant layout.
Document Understanding + scriptsRoute low-confidence values and discrepancies to a business user.
UiPath Action CenterApply field mappings and service ID rules to the validated data.
Invoice output templateWrite the prepared template to the configured output location.
Output foldersImplementation
The build combined vendor-specific classification, different extraction methods and a shared validation and output process.
Define the supported layouts and the standard fields required for each invoice record.
Use Document Understanding for the relevant templates, custom scripts for multi-account layouts and Action Center for review.
Apply field mappings and service ID rules before saving the prepared invoice template.
Uncertain fields cannot simply be treated as accepted values. The review path allows the finance team to validate or correct them before output creation.
Each component has a defined role in processing, validation, integration or review.
Coordinates intake, classification and the processing sequence.
Extracts fields from supported single-account invoice templates.
Supports the multi-account template handling described in the case.
Presents uncertain values and discrepancies for validation.
Produces consistent records for the configured downstream process.
Results & business impact
The documented workflow reports an 80% reduction in processing time per invoice and approximately 70% less manual effort. Validation checkpoints support approximately 99% data accuracy, with more than 600 invoices handled each month without added processing resources.
| Workflow measure | Before | After | Reported result |
|---|---|---|---|
| Invoice processing time | Users read varied layouts and prepared the standard fields manually. | Classification, extraction and template population automate the supported preparation steps. | 80%Processing-Time Reduction |
| Manual handling | Staff performed repeated extraction, checking and output preparation. | Review is focused on uncertain fields while supported data moves into the standard template. | ~70%Manual-Effort Reduction |
| Data quality | Manual entry created errors and inconsistent information. | Validation checkpoints and reviewer correction improve the prepared records. | ~99%Reported Data Accuracy |
| Processing capacity | Higher volumes increased the amount of manual invoice preparation. | The workflow handles the reported monthly volume without added resources. | 600+Invoices Processed per Month |
Standard fields and service ID rules reduce variation in the output passed downstream.
Finance users spend less time rekeying clear records and more time correcting the fields that need judgement.
Related offerings
Explore the solution, supporting service and industry context for this workflow.
Share the invoice layouts, required output fields and review criteria your AP team uses. We can identify the extraction and validation steps worth automating.
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