FinCore Capital
Invoice Processing Pipeline We developed an intelligent document processing workflow. The system extracts data from PDF invoices, validates the amounts against purchase orders.
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[THE CHALLENGE]
FinCore Capital was processing a large volume of PDF invoices manually, requiring the finance team to extract data, cross-check amounts against purchase orders, and resolve discrepancies by hand.
This process was time-consuming, error-prone, and slowed down payment cycles—creating operational bottlenecks and limiting the team’s ability to scale without adding headcount.
[OUR STRATEGY]
We identified invoice intake, data extraction, and validation as the highest-impact automation opportunity.
Our strategy focused on building an intelligent document processing pipeline that could automatically read invoices, validate financial data against existing purchase orders, and flag exceptions for review—while integrating seamlessly with FinCore Capital’s existing finance tools.
[THE SOLUTION]
We developed an AI-powered invoice processing pipeline capable of extracting structured data from PDF invoices, validating totals, line items, and vendor details in real time, and syncing verified data directly into their accounting system.
Manual invoice handling was replaced with automated validation and exception-based review, significantly reducing processing time and eliminating costly errors. The result was a faster, more accurate invoice workflow that improved cash-flow visibility and allowed the finance team to focus on higher-value financial operations instead of manual data entry.
