Deterministic extraction, not probabilistic guesswork. Multi-account transaction analysis with complete audit trails designed for financial investigations and regulatory scrutiny.
Multi-account aggregation across institutions and time periods requires manually consolidating dozens of PDF statements with different formats, leading to errors in transaction matching and timeline reconstruction.
Detecting altered or incomplete bank statements demands comprehensive data validation that's impossible to perform manually when analyzing months of transactions across multiple accounts.
Reconstructing cash flows from fragmented records requires exhaustive transaction extraction and cross-referencing that takes days of manual work for even simple investigations.
Cross-statement consistency verification to detect discrepancies between related accounts is too time-consuming to perform thoroughly under investigation deadlines.
Source and application of funds analysis under audit scrutiny requires verifiable extraction methodology and complete documentation that manual processes can't reliably provide.
Consolidate transactions from multiple accounts and institutions into unified timelines. Track fund movements across accounts to identify patterns of fraud, money laundering, or financial misconduct in complex investigations.
Detect discrepancies and gaps across related statements automatically. Identify missing transactions, duplicate entries, or inconsistencies that may indicate document tampering or incomplete record production.
Quantify extraction thoroughness with completeness metrics that assess transaction coverage, balance verification, and data quality. Document the reliability of your analysis for audit purposes.
Flag potential alterations or anomalies in transaction sequences, running balances, and statement formatting. Automated checks detect signs of manipulation that warrant deeper investigation.
Maintain PDF-to-data traceability with source page references for every transaction. Auditors and investigators can verify extraction accuracy by checking original source documents.
Build source and application of funds analyses from multi-account transaction data. Track income sources, expense categories, and fund transfers to reconstruct complete financial pictures for investigations.
Financial investigations require verifiable methodology that can withstand regulatory and legal scrutiny. RAG-based AI tools produce different results from the same input—unacceptable when your analysis will be challenged by opposing experts or audited by regulators. Bankstatemently uses deterministic, rule-based extraction that produces identical results every time, providing the reproducibility essential for forensic work.
Drag-and-drop PDF statements from all relevant accounts and institutions. Upload statements spanning investigation time periods. Bulk processing handles dozens of statements simultaneously for complex cases.
Deterministic extraction processes each statement, identifying transactions, dates, amounts, and balances. Multi-institution format handling works with any bank. Confidence scoring flags areas needing manual verification.
Automated balance verification ensures extracted data matches statement totals. Cross-statement consistency checks identify gaps or discrepancies. Transaction integrity analysis flags potential document alterations or anomalies.
Consolidated transaction timeline aggregates data across all accounts. Identify corresponding transactions between accounts to trace fund movements. Pattern analysis reveals suspicious activity or hidden relationships.
Export comprehensive reports with full audit trails and source documentation. CSV/Excel formats support further analysis in forensic accounting software. Verification reports document extraction methodology for regulatory submission.
Consolidate fragmented PDF statements into a unified forensic timeline. Multi-account aggregation enables fund tracing across institutions — with duplicate detection, related-party flagging, and structuring alerts built in.

| Date | Account | Description | Amount | Flag |
|---|---|---|---|---|
| 2025-04-03 | Acct ****0838 | CLP POWER | -636.59 | |
| 2025-04-06 | Acct ****0838 | OFFSHORE TRUST SERVICES | -1,251.30 | Offshore transfer |
| 2025-04-10 | Acct ****0838 | APEX CONSULTING LLC | -132.68 | Duplicate vendor |
| 2025-04-18 | Acct ****0838 | CITY SUPER | -125.99 | |
| 2025-04-19 | Acct ****0838 | APEX CONSULTING LLC | -10,621.42 | Duplicate vendor |
| 2025-04-19 | Acct ****0838 | APEX CONSULTING LLC | -8,454.74 | Duplicate vendor |
| 2025-04-20 | Acct ****0838 | CLOTHING STORE | -931.63 | |
| 2025-04-22 | Acct ****0838 | BRIGHTLINE HOLDINGS | -531.40 | Related party |
| 2025-04-22 | Acct ****0838 | ATM WITHDRAWAL | -317.85 | Cash movement |
| 2025-04-22 | Acct ****0001 | ATM WITHDRAWAL | -609.84 | Cash movement |
| 2025-04-24 | Acct ****0001 | SPOTIFY HK | -288.49 | |
| 2025-04-25 | Acct ****0001 | HKTVMALL | -3,823.39 | |
| 2025-04-29 | Acct ****0001 | HK ELECTRIC | -127.47 | |
| 2025-04-30 | Acct ****0001 | SPOTIFY HK | -146.61 |
Financial investigations require extraction accuracy and methodology that can withstand expert challenges. Traditional tools create vulnerabilities in your analysis that opposing experts or auditors can exploit.
Speed · Process 50+ statements in hours vs. weeks of manual data entry per investigation
Accuracy · Deterministic extraction eliminates transcription errors that undermine findings
Multi-account · Automatic aggregation vs. manual consolidation prone to matching errors
Verification · Built-in balance checks vs. manual reconciliation across dozens of statements
Audit trail · Automatic source documentation vs. manually tracking transaction origins
Completeness · Exhaustive extraction with verification vs. ~85% coverage missing critical transactions
Reliability · Confidence scoring for every field vs. no indication of extraction quality
Structure · Normalized transaction data vs. raw OCR text requiring manual cleanup
Integrity · Automated consistency checks vs. no validation of potential document tampering
Forensic support · Built for investigations vs. general document digitization
Reproducibility · Deterministic results vs. probabilistic outputs varying between runs
Auditability · Explainable rule-based methodology vs. black box AI decisions
Reliability · Identical output every time vs. inconsistent results from same input
Expert testimony · Methodology experts can defend vs. unexplainable AI reasoning
Regulatory scrutiny · Designed for audit review vs. unverifiable AI extraction