Overview
Organizations across industries rely on invoice processing as a core financial workflow. Yet many continue to depend on manual handling of PDF and scanned invoices, an approach that is slow, error-prone, and difficult to govern. This use case presents Halsa's solution for automating that workflow end-to-end using AI and the Salesforce platform, delivering faster turnaround, dramatically fewer errors, and stronger compliance control.
The Challenge
Invoice processing operations faced the following critical pain points:
- Manual Processing of PDF/Scanned Invoices: Invoice intake relied entirely on manual handling of PDF and scanned documents, creating operational bottlenecks and limiting throughput.
- High Error Rate: Without automated data extraction and validation, the manual process produced a high rate of errors across invoice records.
- No Fraud Detection: The existing workflow lacked any mechanism to identify anomalies or flag potentially fraudulent invoices, leaving the organization exposed to financial risk.
Our Solution
Halsa implemented an AI-powered invoice processing pipeline built on Einstein AI & Automation and Salesforce Data Cloud. The solution replaced the manual workflow with an intelligent, automated system capable of parsing, validating, and monitoring invoices at scale.
- AI/OCR-Driven Invoice Parsing: AI and OCR technology was applied to extract structured data from PDF and scanned invoices, eliminating manual data entry and feeding parsed results directly into Salesforce Data Cloud.
- Automated Validation: Once invoice data was ingested into Data Cloud, automated validation routines were applied to verify accuracy and completeness, reducing the error rates inherent in manual processing.
- Anomaly Detection: The solution incorporated automated anomaly detection to identify irregular or suspicious invoice patterns, directly addressing the absence of fraud detection in the prior workflow.
The Outcome
The AI-driven invoice processing implementation delivered measurable operational improvements:
- 70% faster invoice processing.
- 80% reduction in manual errors.
- Improved compliance.
Conclusion
By leveraging Einstein AI & Automation alongside Salesforce Data Cloud, Halsa transformed a labour-intensive, error-prone invoice workflow into a streamlined, intelligent operation. The solution delivered a 70% reduction in processing time, an 80% decrease in manual errors, and improved compliance, demonstrating the tangible value AI-driven automation brings to cross-industry financial operations.