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Slashed Invoice Processing Costs by 80% for a Procure-to-Pay Automation Provider

Customer Overview

A leading procure-to-pay automation provider supports enterprise purchasing, invoicing, supplier collaboration, and financial operations. As procurement document volumes grew, accurate validation and timely approvals became increasingly important. 

The organization needed an intelligent solution to process invoices, purchase orders, statements of work, and contracts in varied formats, improve reconciliation accuracy, and accelerate approvals without adding manual effort. 

The Challenge

Before approving payments, teams reconciled financial data across invoices, purchase orders, statements of work, and supporting agreements to verify pricing, quantities, contract terms, and payment obligations. 

As document volumes grew, repetitive manual checks became difficult to manage, delaying approvals, increasing operational costs, and limiting the efficient processing of higher transaction volumes. 

The organization faced several challenges: 

Manual comparison of invoices with purchase orders and supporting agreements

Manual comparison of invoices with purchase orders and supporting agreements

Slow financial data extraction across varied document types

Slow financial data extraction across varied document types

Complex validation across contracts and procurement records

Complex validation across contracts and procurement records

Longer approval cycles due to repetitive verification

Longer approval cycles due to repetitive verification

Greater exposure to billing discrepancies and payment errors

Greater exposure to billing discrepancies and payment errors

Processing constraints as invoice volumes increased

Processing constraints as invoice volumes increased

The Solution

Scry AI implemented its Financial Accounting and Reconciliation solution to automate document processing, invoice validation, and reconciliation across procurement and finance workflows. 

Intelligent Document Classification and Extraction

Intelligent Document Classification and Extraction

The solution classifies invoices, purchase orders, statements of work, and non-disclosure agreements, then extracts summary and line-item data while mapping relationships between documents.

Automated Financial Reconciliation

Automated Financial Reconciliation

Invoices are compared with purchase orders, contracts, and supporting records to verify pricing, transaction details, and financial accuracy before approval.

Exception-Based Review

Exception-Based Review

Missing information, inconsistencies, and validation exceptions are automatically flagged, allowing finance teams to review only transactions requiring attention.

System-Ready Financial Outputs

System-Ready Financial Outputs

Validated invoices are delivered as structured outputs for downstream financial processes, reducing manual checks while supporting faster, consistent, and controlled processing at scale.

Results at a Glance

Metric Outcome
Invoice Processing Capacity Digitized more than 200 invoices per hour
Processing Time & Cost Reduced by 80%
Invoice Validation Automated reconciliation across invoices, purchase orders, and supporting agreements
Approval Process Faster invoice approvals through automated verification
Financial Accuracy Improved through AI-driven extraction and reconciliation
Operational Efficiency Reduced manual effort across finance workflows
Financial Visibility Detailed invoice insights supporting approvals

Modernizing Invoice Operations with Intelligent Financial Controls

Scry AI’s Financial Accounting and Reconciliation solution replaced manual invoice verification with an intelligent workflow covering document classification, data extraction, cross-document validation, and approval preparation. This accelerated invoice processing, strengthened financial controls, reduced operating costs, and supported enterprise finance operations at scale.

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