How AI + KPO Reduced 78% of Manual Finance Work in 60 Days

Strategic Augmentation in Finance: Near-Zero Errors and Massive Time Savings 

The Client Challenge: A Reconciliation Bottleneck 

The client, a rapidly scaling e-commerce company, faced a debilitating challenge in their finance department. While business volume grew, their core finance operations specifically invoice processing, reconciliation, and journal entry creation remained heavily reliant on manual human effort. 

This resulted in several critical issues: 

• Massive Manual Workload: Processing thousands of invoices monthly required finance specialists to spend nearly 80% of their time on tedious data extraction and comparison.

• Slow Month-End Close: The manual reconciliation process dragged on, pushing the month-end closing time to over 10 business days, delaying crucial management reports.

  
  

• High Error Risk: Despite careful review, manual data entry inevitably led to occasional reconciliation errors, requiring costly and time-consuming audits to resolve. 

  
  

The client needed a solution that would not just cut costs, but dramatically increase speed and virtually eliminate human-induced errors to support their scale. 

The Solution: The AI-Augmented KPO Model 

NewVision partnered with the client to deploy an AI-Augmented Knowledge Process Outsourcing (KPO) model. This approach combined advanced AI tools with a dedicated team of finance specialists (the KPO Pod) whose role was elevated from "processors" to "validators" and "exception handlers." 

The 60-day implementation focused on automating three core processes: 

1. Invoice Extraction (OCR/AI): The AI system was trained to automatically read, extract, and structure data (vendor names, amounts, dates, line items) from various invoice formats (PDFs, images) with high fidelity. 

   
   

2. Automated Reconciliation: The system used rule-based logic to automatically match and reconcile data points between the extracted invoice data, bank statements, and the internal ERP system. 

   
   

3. Automated Journal Entries: Upon successful reconciliation, the system was configured to instantly generate and prepare final journal entries for batch posting. 

The Role of Human Validation

The core differentiator of this model was the Human Validation Layer. The KPO specialists did not perform the work; they confirmed it. 

• The AI handled 100% of the extraction and reconciliation attempts. 

• Only low-confidence matches or complex edge cases (typically less than 2% of the total volume) were flagged for human review. 

• The finance specialists spent their time auditing the AI's exceptions and improving the underlying system, ensuring near-perfect accuracy and continuous optimization of the rules engine. 

  
  

Results and Impact: Strategic Time and Error Reduction

Within just 60 days, the implementation delivered transformative, quantifiable results: 

Strategic Outcomes 

The shift from manual processing to AI-augmented validation freed up the finance team to focus on strategic analysis, budgeting, and forecasting. The client now closes their books faster than ever before, providing management with timely, accurate data that fuels smarter business decisions. 

The partnership successfully transformed the finance operation from a time-consuming cost center into a lean, fast, and highly reliable engine for growth. 

Ready to cut your manual finance workload by over 75% ? 

Contact Us at 📩 engage@newvisionmgmt.com or

Call us at 📞 +1 210-858-6660