DataCRaiM announced a significant enhancement to AutoDocX, its AI-powered document processing engine. This release introduces two powerful new enhancements expanding its capabilities to streamline application onboarding and credit underwriting — Invoice Reading and Bank Statement Analysis — and extending beyond the application to drive greater efficiency across the full equipment finance lifecycle, from initial application onboarding through post-booking processes. And without requiring sensitive documents or Data to leave the customer’s-controlled environment – all within their own tenant and cloud instance!

Streamlining Application Onboarding and Credit Underwriting

AutoDocX has long enabled finance teams to eliminate the manual effort of re-keying document data into their CRM and Lease Operating System (LOS). With the addition of Invoice Reading and Bank Statement Analysis, the platform now delivers deeper, more actionable intelligence at the point of origination.

AutoDocX can scan dealer invoices to automatically capture equipment details, costs, and line-item data, then push that information via secure APIs directly into credit applications and CRM records — whether Salesforce, Microsoft Dynamics, or other platforms of choice. Bank statement data is similarly extracted, calculations performed, structured and routed to support credit underwriting with speed and accuracy. The result is a faster, more consistent onboarding experience with audit-ready data at every step.

Extending Automation Beyond the Application

Perhaps equally significant is what AutoDocX can now do downstream. The same document intelligence that powers application onboarding can be applied to automate time-consuming post-booking workflows, including:

• Title Preparation — automatically extracting relevant data from Manufacturer Invoices, MSOs, and Titles in order to populate title forms and your CRM, eliminating manual copy-and-paste.

• Subsidy Form Creation — intelligently mapping extracted invoice and transaction data to the required fields across subsidy forms.

• Additional downstream processes where structured data from source documents must flow into CRM records, forms, or third-party systems.

For many equipment finance teams, these are among the most repetitive and error-prone steps in the deal lifecycle. AutoDocX addresses them by preserving the full context of source documents — form fields, tables, line items, and narrative text — and routing structured data exactly where it needs to go.

“In equipment finance, the real friction isn’t just at application—it’s the manual re-keying, form preparation, and data hand-offs that also slow time consuming post-booking workflows and partner documentation,” said Rohan Marfatia, CEO of DataCRaiM. “With this AutoDocX release, we’ve delivered Invoice Reading and Bank Statement Analysis alongside deep layout parsing and data-mapping that auto-populate critical forms with high accuracy. The result is measurable time savings, fewer errors, and cleaner data flow from origination through post-booking, without ever requiring sensitive documents or data to leave our partner’s-controlled environment. That’s the differentiator our industry needs.”