Document intelligence for identifying suspicious and altered documents
Auroraa Vault helps NBFCs, digital lenders, insurers and financial-services teams review documents for suspicious alterations and inconsistencies. Its built document-forensics capability returns structured signals for human review; these signals are not proof of fraud.
Illustrative interface only. Sample content and signals are not from a live document analysis.
Extracted text alone cannot establish whether a document is authentic.
OCR can make document text searchable, but it does not by itself establish whether a file has been altered. During lending and verification, inconsistencies in amounts, metadata or document structure may warrant further review.
Text extraction and visual checks can support review, but may not surface every inconsistency or change in a document.
- closeAltered figures despite otherwise legible text
- closeDifferences across a document and its supporting records
- closeMetadata that may provide context for follow-up
- closeDocument details that still require source verification
Potential discrepancies are contextual signals, not proof of fraud.
Vault checks bank statements, salary slips and other documents for potential manipulation, returning structured signals for risk and fraud teams to review.
- check_circleChecks documents for signs of potential manipulation
- check_circleReturns structured signals for reviewer assessment
- check_circleSupports follow-up alongside source verification
- check_circleKeeps human reviewers responsible for decisions
Specific analysis methods and integrations should be confirmed. A document signal alone does not establish fraud.
Scattered Review Pipelines
Reviewers may need to consider documents alongside information from other systems and sources.
Subtle Unnoticeable Edits
Differences in figures or document details can warrant closer review and independent source checks.
Subjective Reviewer Variance
Reviewers may interpret document signals differently, making clear human assessment important.
Incomplete Audit Dossiers
Teams may need clear records of their review process; specific audit and record-keeping capabilities should be confirmed.
Look beyond extracted text, while keeping signals in context.
Vault's built document-forensics capability checks documents for potential manipulation and returns structured signals. Other methods shown here are review considerations, not a representation that each is currently available.
Visual Document Review
Visual irregularities in scanned or digital documents may warrant closer human review. A visual signal alone does not establish manipulation.
Metadata Context
Creation and modification metadata can provide context, but may be incomplete or altered and cannot establish authenticity by itself.
AI-Generated or Altered Content
AI-generated or modified files may be difficult to identify reliably. Detection can vary with file quality and manipulation methods.
Cross-Document Consistency
Differences between submitted documents may warrant follow-up, though they can also have legitimate explanations.
Structured Review Signals
Vault's built document-forensics capability returns structured signals for human review. Findings do not replace source verification or independent judgment.
Records and Integrations
Record-keeping, deployment and integration requirements depend on the workflow. Confirm specific controls and supported options before planning implementation.
Current Availability & Product Boundaries
Built today: document-forensics analysis for bank statements, salary slips and other documents, returning structured signals for risk and fraud teams. Specific analysis methods, integrations and roadmap status should be confirmed with Auroraa; the examples above do not establish production availability. Metadata anomalies and other signals are contextual, not proof of fraud. Human review and source verification remain necessary.
Keep document signals in context and people in the decision loop.
The steps below are illustrative. Supported document types, analysis methods and integration options should be confirmed for each team's workflow.
Scope the Documents
Agree which document types and review questions are relevant to the team's workflow.
Document Analysis
Vault's built document-forensics capability checks documents for potential manipulation and returns structured signals.
Review the Signals
Potential inconsistencies are contextual and may warrant follow-up; they are not proof of fraud.
Human Assessment
Reviewers assess findings alongside source verification and existing decision procedures.
Confirm Product Scope
Confirm supported checks, integrations and roadmap status with Auroraa before planning implementation.
Document review across high-stakes workflows.
Financial-services teams, including NBFCs and digital lenders, review documents during onboarding and verification. The examples below show contexts where inconsistent or suspicious details may merit closer review.
Borrower Documents in Credit Workflows
NBFCs and digital lenders review bank statements, salary slips, tax records and financial statements during onboarding and underwriting. Differences in amounts or supporting details may warrant follow-up and source verification.
Potential discrepancies should be assessed by a reviewer alongside independent source verification.
Explore an illustrative review-capacity scenario.
Adjust the inputs to see a planning scenario based on document volume, review time and reviewer cost. The output is not a measured Vault result or a forecast.
This scenario is based on the illustrative assumption above, not a predicted operational outcome.
Assess Vault's fit for one document workflow.
Agree document scope, review objectives and sample handling with the team. Evaluation methods, timing and success criteria are confirmed for each engagement; no outcome is guaranteed.
Scope Review Needs
Agree which document types, workflows and review questions are relevant to the evaluation.
Plan Sample Assessment
Agree suitable document samples and data-handling arrangements before any evaluation.
Review Findings
Discuss potential signals, limitations and reviewer feedback. Findings depend on sample quality and context.
Confirm Product Fit
Confirm whether the built capability supports the workflow, and discuss specific checks, integrations or roadmap needs.
Frequently Asked Questions
Bring more context to document reviews.
Discuss how Auroraa Vault's built document-forensics capability could fit your team's review process. Confirm the availability of specific checks and integrations for your workflow.