For asset-heavy businesses, cash flow is often constrained by a simple mismatch: expenses are immediate, but customer payments can take weeks or months to arrive. Corporate Billing helps close that gap by turning unpaid invoices into working capital, quickly and flexibly.
But the speed and accuracy of Corporate Billing’s processes directly shape how quickly clients can access that funding. To process invoices, Operations Manager Brie Owens and her team relied on software that required them to draw a box around the information they wanted to extract from each one.
Because Corporate Billing’s 300+ clients’ invoices all varied in format, the team had to create and maintain a separate template for each format and balance every schedule to catch missing invoices and discrepancies. And as new clients joined, the number of formats kept growing.
Once the data was extracted, employees still had to manually resolve debtor records that the system could not identify, searching by name, city, and state to match each invoice to the right account. This validation and enrichment work often took longer than extraction itself, becoming a time-consuming, error-prone bottleneck that could delay schedule review and, ultimately, client funding.
Over time, the system’s limitations forced the team to build workarounds. With larger clients, for example, they loaded data from client-provided spreadsheets first, then attached the invoice images afterward. While this sped up initial data entry, it left reviewers waiting on supporting documents before they could verify schedules and release funds.
The turning point came when Brie compiled and shared the prior year’s invoice processing totals with Corporate Billing’s leadership. Seeing the scale of manual data entry, it was clear they needed a better, AI-driven approach.
For Brie, the operations leader championing the effort, selecting the right partner was more than a technology decision. As Corporate Billing’s parent organization’s first AI initiative, the project needed to prove that AI could deliver reliable value in a critical financial workflow.
Any new automation solution would need to fit seamlessly into Corporate Billing’s Secure File Transfer Protocol (SFTP) workflow while fully automating invoice processing. That meant intelligently splitting large, multi-invoice PDFs based on page-level context, renaming each resulting document according to custom rules, and extracting the relevant invoice data.
It would also need to validate and enrich invoice data with information from Corporate Billing’s legacy ERP before returning each record and its corresponding document for review and processing.
The invoice-processing vendors they evaluated, however, relied on templates and significant human-in-the-loop review to identify, verify, and correct invoice data. Ultimately, this would have preserved much of the manual effort Corporate Billing wanted to eliminate. That’s when Brie found Lido.
When she tested Lido on a real 300-invoice schedule, she got a complete, accurate output back in just over a minute. The platform met Corporate Billing’s extraction, validation, and workflow requirements without templates or ongoing human review, giving Brie confidence to move forward.
Because Corporate Billing is part of a bank, Lido underwent a three-month due diligence process. In the meantime, the Lido team traveled to Corporate Billing’s Alabama office to tailor the implementation around its existing file-transfer architecture. By the time approval came through, they had a customized workflow ready to launch.
Now, new invoice schedules move from Corporate Billing’s intake folder to Lido for processing every five minutes. Lido returns the extracted, validated data and invoice files to an output folder, where Corporate Billing’s automated workflow picks them up and ingests them into its ERP.
The fully automated workflow removes the need for client-by-client setup. Lido automatically reads invoice layouts across formats and runs debtor lookups against their ERP, for data validation and enrichment, using a confidence score. It checks the account number first, then falls back to the debtor’s name, city, and state when needed.
To account for client-specific variations, Lido’s team wrote custom rules for the different labels clients used and other one-off accommodations from the old system. That ensured existing client setups carried over without disruption during the transition.
Beyond data extraction, validation, and enrichment, Lido automatically separates multi-invoice files into individual PDFs. It can correctly identify the boundaries between invoices even when they vary in length, layout, and supporting documents rather than just splitting files at fixed page intervals. Lido then applies detailed, workflow-specific naming rules to every resulting PDF, using the invoice number and, where needed, processing timestamps, extracted invoice fields, fixed values, and ERP-enriched data.
The platform applies the same precise naming logic to the final spreadsheet and other deliverables it returns to Corporate Billing. By ensuring every output follows the company’s required naming conventions, Lido enables data and documents to flow automatically into the legacy ERP, attach to the correct invoice records, and update the appropriate ERP tables without manual intervention.
Together, these automated steps handle the full invoice-schedule workflow, from SFTP intake through document processing, ERP validation and enrichment, file preparation, and return delivery, without a human needing to manage handoffs. Corporate Billing now processes more invoices for more clients with greater accuracy, reducing underpayments, overpayments, and client back-and-forth.
With Lido’s automation in place, Corporate Billing employees no longer handle invoice extraction or matching. Instead, complete, ERP-ready records allow them to focus on timely funding decisions, schedule review, and exceptions, improving both the client experience and operational efficiency. Corporate Billing has redeployed 75% of its data-entry labor to these higher-value activities, giving the same team more capacity to scale operations without adding data-entry headcount.
With Lido running in the background, Corporate Billing has an operating model that can grow with its client base. Now, Brie’s team has tripled its capacity and can focus on the work that moves the business forward: making timely funding decisions, serving clients, and scaling Corporate Billing without expanding the operations team.
Looking ahead, Brie continues to work with Lido's team to refine rules as new clients and invoice formats come in. The team has already increased capacity by roughly 1,000 invoices per day without adding headcount, creating room to onboard more clients and deliver faster turnaround times as demand grows.
