Review bank statements with evidence, controls, and lending context
StatemAInt turns uploaded PDF bank statements into review-ready transactions, focused confidence cues, advisor suggestions, and lending analysis in one workflow.
Review workflow
statement_12345678_jan_2026.pdf
Page 1 of 3
Review workspace
Corrected
Available
84%
3 pending
2 edits logged
Ready to rerun
Extracted transactions
| Date | Description | Amount | Confidence |
|---|---|---|---|
| Jan 1 | Payroll deposit | +$4,250.00 | High |
| Jan 3 | Rent payment | -$1,780.00 | High |
| Jan 8 | Cash withdrawal | -$450.00 | Review |
| Jan 12 | Sports betting debit | -$120.00 | Advisor |
PDF-first review
Keep the source statement and extracted rows together from first upload to final analysis.
Human judgment
Reviewers can verify rows, correct data inline, and stay in control of sign-off.
Traceable decisions
Edits and advisor actions are recorded so reviews stay defensible without extra admin.
Where reviews slow down
Lending teams need faster statement review without losing evidence, traceability, or judgment. Generic extraction alone does not solve that.
Without StatemAInt
Assessors still read statements line by line to verify income, spending, and anomalies
OCR output is hard to trust when the source PDF and extracted rows drift apart
Risk signals get missed when review steps live across separate tools and spreadsheets
Corrections and sign-off are difficult to defend without a traceable record
With StatemAInt
Upload PDFs into a workflow built around extracted transactions and linked source pages
Use confidence signals and advisor suggestions to focus attention where judgment is needed
Capture inline corrections and reviewer decisions on the same extraction record
Generate structured analysis output that is easier to use in credit assessment
How it works
One review flow from uploaded PDF to lending-ready analysis.
Upload PDF
Start with a bank statement PDF and create an extraction session for review.
Review extraction
Inspect the source PDF beside the extracted transactions and confidence signals.
Run advisor
Generate suggestion queues that flag correctness issues and lending risk markers.
Analyze decisions
Produce structured categories, anomalies, red flags, and decision summaries.
Capabilities
The product is strongest where lending reviews need control: extraction quality, guided review, traceability, and structured analysis.
Transaction extraction
Docling-backed extraction turns uploaded bank statements into normalized transaction rows for review.
Confidence-led review
Confidence signals and advisor suggestions help reviewers focus on the rows that need attention first.
Inline corrections
Operators can edit transaction rows directly while keeping the source PDF visible for evidence-based checks.
Structured output
Analysis returns categories, anomalies, affordability indicators, red flags, and decision summaries.
Traceable history
Corrections and advisor decisions are stored with actor and timestamp details for defensible review trails.
Where it fits
The clearest fit today is lending review, with adjacent value for affordability analysis and audit-sensitive operations.
Credit assessment
Review applicant statements with extracted transactions, supporting evidence, and structured risk output in one place.
Affordability analysis
Use categories, anomalies, risky expenses, and affordability indicators to support lending recommendations.
Governance review
Keep a defensible history of edits and suggestion decisions for audit-sensitive lending operations.
Why StatemAInt
The value is not just extracting data. It is giving lending teams a cleaner way to review, correct, and defend decisions.
Stay close to the source evidence
Reviewers can work from extracted rows while keeping the original PDF available in the same flow.
Treat AI as review support, not autopilot
Advisor suggestions surface correctness and risk issues, but acceptance and rejection remain explicit operator decisions.
Keep decisions traceable
Corrections and suggestion actions live on the extraction record, creating a defensible review trail instead of ad hoc notes.
Frequently asked
Common questions about workflow, analysis, and auditability.
The implemented workflow is PDF-first. Operators upload bank statement PDFs, extract transactions, and review the source document alongside the extracted rows.
Have more questions?
Contact our team →Ready to tighten your statement review process?
StatemAInt is best when the team needs better evidence handling, guided review, and lending-oriented analysis instead of generic OCR output.