The client is a leading provider of high-quality rental homes across the United States, offering well-maintained residences in sought-after neighborhoods. With over 80,000 homes leased across 17 states, the company is a trusted name in residential leasing, known for scale, service, and operational excellence.
As the client’s operations scaled, so did the volume of monthly invoices—reaching levels that were no longer sustainable through manual processing. Each invoice required manual data entry, validation, and routing for approval. This not only slowed down the accounts payable (AP) cycle but also introduced frequent human errors, missed payments, and growing operational inefficiencies.
The lack of a centralized, automated workflow created bottlenecks that impacted financial accuracy and vendor relationships. For the Chief Financial Officer (CFO), this inefficiency translated into delayed financial reporting and missed opportunities to optimize working capital. The Chief Operating Officer (COO), on the other hand, faced rising concerns over process scalability and productivity.
It became clear that to maintain service quality and support future growth, the organization needed to move away from fragmented, manual systems and adopt a robust, automated solution to streamline invoice processing end-to-end.
To address the client’s growing operational complexity, Datamatics deployed a tailored, automation-first approach that combined intelligent workflows with cognitive data processing.
At the core of the solution was Finato, Datamatics’ BPaaS-based finance and accounting workflow platform. Finato streamlined the entire invoice lifecycle by routing invoices for approvals, managing exception handling, and ensuring accurate purchase order (PO) and invoice matching—bringing structure and visibility to a previously fragmented process.
To enhance efficiency further, Datamatics integrated its advanced automation tools: TruBot, the enterprise-grade Robotic Process Automation (RPA) platform, and TruCap+, the intelligent document processing (IDP) solution. These technologies worked in tandem to receive invoices, perform imaging, auto-extract and classify data, and validate it against existing records—all with minimal human intervention.
Together, this intelligent automation ecosystem eliminated manual touchpoints, reduced turnaround times, and significantly improved data accuracy across the accounts payable function.
Accuracy Improved
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