Solutions
Document automation for non-bank lenders
The document problem in lending
Document management is one of the most operationally painful parts of lending for small teams. Bank statements arrive in multiple batches, some pages are missing, the file is saved somewhere on the shared drive, a different reviewer opens a different version. By the time a decision is made, it is unclear exactly which documents were actually reviewed.
Hadrian's document workflow solves this by treating documents as case artifacts — not files on a drive. Every document is attached to the specific case it belongs to, timestamped when it arrives, and linked to the evidence graph. When a reviewer makes a decision, the record shows exactly which document version was present at decision time.
Automated extraction and data population
Document automation goes beyond storage. Hadrian's AI can extract key data fields from submitted documents — business name, monthly revenue, average daily balance, NSF count from bank statements; equipment description and cost from vendor invoices — and pre-populate case fields for reviewer confirmation. The extracted data and the source document are both in the case record, so the reviewer sees the extraction and the original side by side.
When extraction is incorrect or ambiguous, the reviewer corrects it — and the correction is recorded in the audit ledger with the reviewer's identity and timestamp.
Document requirements as a workflow gate
Hadrian's intake and processing stages can be configured to require specific documents before a case advances. A case missing three months of bank statements cannot move to underwriting. An equipment finance deal without a vendor invoice stays in document-collection stage. These gates prevent incomplete files from reaching reviewers and eliminate the common pattern of funding deals with missing documentation discovered only at closing.
FAQ
Document Automation for Lenders — common questions
Can Hadrian detect fraudulent or altered documents?
Hadrian's AI can flag certain document anomalies — metadata inconsistencies, formatting irregularities, or data patterns inconsistent with the stated business type. It is not a forensic fraud detection system; it is a first-pass signal layer. Definitive fraud detection requires human review and, for high-risk signals, specialist verification.
How are documents retained after a deal closes?
Documents attached to a case remain in the case record indefinitely and are subject to the operator's configured retention policy. The tamper-evident ledger records when each document was submitted and when it was accessed — supporting regulatory record-retention requirements.
The institution around the intelligence
See Hadrian run your case lifecycle — intake to close, every decision audited.
Governance-native case processing for lenders and regulated teams.